CURRICULUM VITAE

Tao Zhang, MD, PhD, Professor

OFFICE ADDRESS

Department of Biostatistics, #505 School of Public Health, Shandong University
	44 Wenhuaxi Road, #100, Jinan, Shandong 250012 Tel: 18753192516; Office: 0531-88382140 Email:taozhang@sdu.edu.cn

EDUCATION

· Postdoc (Epidemiology and Biostatistics), June 2014, Shandong University, Jinan, China

· Ph.D. (Epidemiology and Biostatistics),June 2012,Harbin Medical University, Heilongjiang, China

· Bachelor of Public Health Management, June 2007, School of Public Health, Harbin Medical University, Heilongjiang, China

POSITIONS AND EMPLOYMENT

· September 2018 - Date,Professor at Department of Biostatistics, Public Health School, ShandongUniversity, Shandong, China

· June 2017 - Augest 2018, AssociateProfessor at Department of Biostatistics, Public Health School, ShandongUniversity, Shandong, China

· January 2015 - June 2017, Biostatistician, Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University

· June 2012 - Dec 2016, Assistant Professor at Department of Epidemiology and Biostatistics, Public Health School, Shandong University, Shandong, China

RESEARCH INTERESTS

· Early-life origins of cardiovascular disease, diabetes and hypertension

· The risk assessment and prevention strategies for cardiovascular diseases and other chronic diseases

· Longitudinal trajectory analysis and growth curve model of cardio-metabolic risk factors in life-course epidemiology

· Causal inference among cardio-metabolic risk factors in life-course epidemiology

· Developing statistical methods in genomics and metabolomics researches (including random forest, support vector machine, genetic algorithm)

· The diagnostic/prognostic biomarker discovery for Metabolic Diseases (Ovarian Cancer, Esophageal Cancer, Type 2 Diabetes Mellitus and Alzheimer’s Disease) based on LC/MS metabolomics platform

ACADEMIC AND PROFESSIONAL POSITIONS

· Standing Committee Member, Biostatistics Youth Committee, Chinese Preventive Medical Association

· Youth Council Member, The Chinese Branch of International Biometric Society (IBS)

· Standing Committee Member, Drug Clinical Evaluation Research Committee, Traditional Chinese Medicine Association

· Committee Member, Medicine And Health Systems Engineering Committee, Systems Engineering Society Of China

· American Federation for Medical Research Member

AWARDS AND HONORS

· 2016, American Federation for Medical Research Meeting (New Orleans; Feb 18-20, 2016), Junior Faculty Research Travel Award

· 2011, Best Student Paper Award in China Association for Biostatistics 2011 Annual Meeting

· 2012, Outstanding doctoral dissertation of Harbin Medical University

TEACHINGACTIVITIES

· Medical Statistics/Health Statistics (Department of Epidemiology and Biostatistics, Shandong University 2012-Date)

· Statistical Analysis Software (SAS, SPSS, R, etc.) (Department of Epidemiology and Biostatistics, Shandong University 2012-Date)

· Advanced Statistical Methods and SAS Application (Department of Epidemiology and Biostatistics, Shandong University 2012-Date)

· Statistical Methods in Diagnostic Medicine (Department of Epidemiology and Biostatistics, Shandong University 2012-Date)

· Statistical Learning and R Application (Department of Epidemiology and Biostatistics, Shandong University 2012-Date)

RESEARCH SUPPORT

Research Grants Funded as Principal Investigator (Total =9)

Research Grants Funded as Co-Investigator (Total =2)

PUBLICATIONS (Total=54,First Author=21, up toJan2019)

	Pubmed		Google Scholar
	Researchgate		Mendeley

SELECTEDPUBLICAITONS(listed by publication date)

[1] Zhang T, Xu J, Li S, Bazzano L, He J, Whelton P, Chen W. Trajectories of childhood BMI and adult diabetes: the Bogalusa Heart Study.Diabetologia,2018 Oct 20. doi: 10.1007/s00125-018-4753-5. (IF=6.023, Cite=0)

[2] Zhang T, Li S, Whelton P, Xi B, Krousel-Wood M, Bazzano L, He J, Chen W. Rate of Change in Body Mass Index at Different Ages during Childhood and Adult Obesity Risk.Pediatric Obesity,2019, doi:10.1111/ijpo.12513

[3] Fan B*, Yang Y*, Dayimu A, Zhou G, Liu Y, Li S, Chen W,Zhang T# (corresponding author), Xue F. BMI Trajectories during Young Adulthood and Incident Hypertension: A Longitudinal Cohort in Chinese Population. JAHA, 2018 (In Press)

[4] Zhang T, Jia H, Wu Z. Sex as a predictor of response to cancer immunotherapy.Lancet Oncol 2018;19:e374.(IF=36.418, Cite=0)

[5] Zhang T, Li S, Bazzano L, He J, Whelton P, Chen W. Trajectories of Childhood Blood Pressure and Adult Left Ventricular Hypertrophy: the Bogalusa Heart Study.Hypertension,2018 Jul;72(1):93-101.(IF=6.715, Cite=0)

[6] Li Y*,Zhang T*, Han T, Li S, Bazzano L, He J, Chen W. Impact of Cigarette Smoking on the Relationship between BMI and Insulin: Longitudinal Observation from the Bogalusa Heart Study.Diabetes Obes Metab. 2018, 20(7):1578-1584.doi:10.1111/dom.13259. (IF=6.715, Cite=0) (*co-first author)

[7] Shen W*,Zhang T*, Li S, Zhang H, Xi B, Shen H, Fernandez C, Bazzano L, He J, Chen W.Race and Sex Differences of Long-Term Blood Pressure Profiles From Childhood and Adult Hypertension: The Bogalusa Heart Study.Hypertension. 2017, 70 (1):66. (*co-first author) [IF=6.857, citation=0]

[8] Zhang H*,Zhang T*, Li S, Guo Y, Shen W, Fernandez C, Harville EW, Bazzano LA, Urbina EM, He J, Chen W.Long-term Excessive Body Weight and Adult Left Ventricular Hypertrophy Are Linked Through Later Life Body Size and Blood Pressure: The Bogalusa Heart Study.Circulation Research. 2017; 120 (10):1614. (*co-first author) [IF=13.965, citation=1]

[9] Xi B*,Zhang T*, Li S, Harville E, Bazzano L, He J, Chen W, Can Pediatric Hypertension Criteria Be Simplified? A Prediction Analysis of Subclinical Cardiovascular Outcomes from the Bogalusa Heart Study.Hypertension, 2017 Apr;69(4):691-696; (*co-first author) [IF=6.857, citation=2]

[10] Zhang T, Zhang H, Li Y, Li S, Fernandez C, Bazzano L, He J, Xue F#, Chen W#.Long-term Impact of Temporal Sequence from Childhood Obesity to Hyperinsulinemia on Adult Metabolic Syndrome and Diabetes: The Bogalusa Heart Study.Sci Rep. 2017; 7:43422., [IF=4.259, citation=0]

[11] Zhang T, Zhang H, Li Y, Sun D, Li S, Fernandez C, Qi L, Harville E, Bazzano L, He J, Xue F#, Chen W#.Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult Hypertension: The Bogalusa Heart Study.Hypertension. 2016;68:818–23, [IF=6.857, citation=1]

[12] Zhang T, Zhang H, Li S, Li Y, Liu Y, Fernandez C, Harville E, Bazzano L, He J, Chen W#. Impact of Adiposity on Incident Hypertension Is Modified by Insulin Resistance in Adults: Longitudinal Observation from the Bogalusa Heart Study.Hypertension, 2016; 67(1):56-62, [IF=6.857, citation=2]

[13] Wang J*,Zhang T*, Shen X*, Liu J, Zhao D, Sun Y, Wang L, Liu Y, Gong X, Liu Y, Zhu Z-J#, Xue F#,Serum Metabolomics for Early Diagnosis of Esophageal Squamous Cell Carcinoma by UHPLC-QTOF/MS,Metabolomics,2016;12:116. Available from: http://link.springer.com/10.1007/s11306-016-1050-5. (# Co-corresponding authors; * Co-first authors), [IF=3.914, citation=10]

[14] Zhang T, Li Y, Zhang H, Sun D, Li S, Liu Y, Fernandez C, Harville E, Bazzano L, He J, Chen W#. Insulin-sensitive Adiposity is associated with a Relatively Lower Risk of Diabetes than Insulin-resistant Adiposity: The Bogalusa Heart Study.Endocrine.2016; 54(1):93-100, [IF=3.279, citation=0]

[15] Xi B*,Zhang T*, Zhao M, Li S, Mi J. Trends in elevated blood pressure among US children and adolescents: 1999-2012.Am J Hypertens. 2016; 26(2): 217-225. (*co-first author) [IF=2.852, citation=0]

[16] Zhang H*,Zhang T*, Li S, Hussain A, Fernandez C, Harville E, Bazzano L, He J, Chen W#. Long-term Impact of Childhood Adiposity on Adult Metabolic Syndrome Is Modified by Insulin Resistance: The Bogalusa Heart Study.Sci Rep, 2015, 5: 17885. (*co-first author) [IF=5.58, citation=6]

[17] Zhang Y*,Zhang T*, Zhang C, Tang F, Li H, Zhang Q, Lin H, Wu S, Liu Y, Xue F. Identification of Reciprocal Causality between Non-alcoholic Fatty Liver Disease and Metabolic Syndrome by Simplified Bayesian network in Chinese Population.BMJ Open. 2015; 5(9), e008204. http://doi.org/10.1136/bmjopen-2015-008204 (*co-first author) [IF=2.852, citation=0]

[18] Zhang T, Zhang C, Zhang Y, Tang F, Li H, Zhang Q, Lin H, Wu S, Liu Y, Xue F. Metabolic Syndrome and Its Components as Predictors of Nonalcoholic Fatty Liver Disease in a Northern Urban Han Chinese Population: A Prospective Cohort Study.Atherosclerosis, 2015. May; 240(1):144-8. [IF=4.0, citation=17]

[19] Zhang T, Zhang Y, Zhang C, Tang F, Li H, Zhang Q, Lin H, Wu S, Liu Y, Xue F. Prediction of metabolic syndrome by non-alcoholic Fatty liver disease in northern urban han Chinese population: a prospective cohort study.PLoS One. 2014. 9(5): e96651. [IF=3.535, citation=11]

[20] Zhang T, Wu X, Ke C, Yin M, Li Z, Fan L, Zhang W, Zhang H, Zhao F, Zhou X, Lou G#, Li K#. Identification of potential biomarkers for ovarian cancer by urinary metabolomic profiling.J Proteome Res. 2013. 12(1): 505-512. [IF=4.341, citation=62]

[21] Zhang T, Wu X, Yin M, Fan L, Zhang H, Zhao F, Zhang W, Ke C, Zhang G, Hou Y, Zhou X, Lou G#, Li K#.Discrimination between malignant and benign ovarian tumors by plasma metabolomic profiling using ultra performance liquid chromatography/mass spectrometry.Clin Chim Acta. 2012.413(9-10): 861-868. [IF=2.892, citation=43]

FULL PUBLICATIONS LIST BY YEAR (Total=55, First Author=21)

− 2019 −

[1] Zhang T, Whelton P, Xi B, Krousel-Wood M, Bazzano L, He J, Chen W,Li S. Rate of Change in Body Mass Index at Different Ages during Childhood and Adult Obesity Risk.Pediatric Obesity,2019, doi:10.1111/ijpo.12513

[2] Fan B*, Yang Y*, Dayimu A, Zhou G, Liu Y, Li S, Chen W,Zhang T# (corresponding author), Xue F. BMI Trajectories during Young Adulthood and Incident Hypertension: A Longitudinal Cohort in Chinese Population. JAHA, 2018 (In press)

− 2018 −

[3] Zhang T, Xu J, Li S, Bazzano L, He J, Whelton P, Chen W. Trajectories of childhood BMI and adult diabetes: the Bogalusa Heart Study.Diabetologia,2018 Oct 20. doi: 10.1007/s00125-018-4753-5. (IF=6.023, Cite=0)

[4] Zhang T, Jia H, Wu Z. Sex as a predictor of response to cancer immunotherapy.Lancet Oncol 2018;19:e374.(IF=36.418, Cite=0)

[5] Zhang T, Li S, Bazzano L, He J, Whelton P, Chen W. Trajectories of Childhood Blood Pressure and Adult Left Ventricular Hypertrophy: the Bogalusa Heart Study.Hypertension, 2018, 72(1):93-101. [IF=6.857, citation=0]

[6] Li Y*,Zhang T*, Han T, Li S, Bazzano L, He J, Chen W. Impact of Cigarette Smoking on the Relationship between BMI and Insulin: Longitudinal Observation from the Bogalusa Heart Study.Diabetes Obes Metab. 2018, 20(7):1578-1584.doi:10.1111/dom.13259. (IF=6.715, Cite=0)

[7] Yan Y,Zhang T, Li S, et al. Black-White Difference in the Impact of Long-term Blood Pressure from Childhood on Adult Renal Function: the Bogalusa Heart Study.Am J Hypertens. 2018. doi: 10.1093/ajh/hpy109. (IF=3.046, Cite=0)

[8] Du Y,Zhang T, Sun D, Li C, Bazzano L, Qi L, Krousel-Wood M, He J, Whelton PK, Chen W, Li S. Effect of Serum Adiponectin Levels on the Association Between Childhood Body Mass Index and Adulthood Carotid Intima-Media Thickness. Am J Cardiol 2018;121:579–583. (IF=3.171, Cite=0)

[9] Parmar P, Lowry E, Cugliari G, ...,Zhang T, Chen W, ..., Sebert S. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults.EBioMedicine. 2018. 10.1016/j.ebiom.2018.10.066

− 2017 −

[1] Shen W*,Zhang T*, Li S, Zhang H, Xi B, Shen H, Fernandez C, Bazzano L, He J, Chen W. Race and Sex Differences of Long-Term Blood Pressure Profiles From Childhood and Adult Hypertension: The Bogalusa Heart Study.Hypertension. 2017, 70 (1) :66-74. (*co-first author)[IF=6.857, citation=0]

[2] Zhang H*,Zhang T*, Li S, Guo Y, Shen W, Fernandez C, Harville EW, Bazzano LA, Urbina EM, He J, Chen W. Long-term Excessive Body Weight and Adult Left Ventricular Hypertrophy Are Linked Through Later Life Body Size and Blood Pressure: The Bogalusa Heart Study.Circulation Research. 2017; 120 (10):1614. (*co-first author) [IF=13.965, citation=0]

[3] Zhang T, Zhang H, Li Y, Li S, Fernandez C, Bazzano L, He J, Xue F#, Chen W#. Long-term Impact of Temporal Sequence from Childhood Obesity to Hyperinsulinemia on Adult Metabolic Syndrome and Diabetes: The Bogalusa Heart Study.Sci Rep. 2017; 7:43422., [IF=4.26, citation=0]

[4] Xi B*,Zhang T*, Li S, Harville E, Bazzano L, He J, Chen W,Can Pediatric Hypertension Criteria Be Simplified? A Prediction Analysis of Subclinical Cardiovascular Outcomes from the Bogalusa Heart Study.Hypertension, 2017 Apr;69(4):691-696; (*co-first author) [IF=6.857, citation=2]

[5] Zhang Y, Li T, Qiu Y,Zhang T, Guo P, Ma X, Wei Q, Han L. Serum microRNA panel for early diagnosis of the onset of hepatocellular carcinoma.Medicine (Baltimore) 2017, 96(2):e5642.

[6] DING LJ, LIU RH, JI XK, YUAN ZS,ZHANG T, XUE FZ. Lifespan Risk Exposure Measurement Instrument: a Feasible and Effective Tool for Life Course Epidemiology Research.Biomed Environ Sci 2017, 30(1):59-63.

[7] Fernandez C, Hsu R, Sander G, Hussain A, Barshop R, Li S, Shu T,Zhang T, Galazka P, Chen W, Bazzano L, Giles TD. Methodological evaluation of the noninvasive estimation of central systolic blood pressure in nontreated patients: the Bogalusa Heart Study.Blood Press Monit. 2017 Apr;22(2):95-100.

[8] Chen BH, Carty CL, Kimura M, Kark JD, Chen W, Li S,Zhang T, et al. Leukocyte telomere length, T cell composition and DNA methylation age.Aging (Albany NY). 2017;9: 1983–1995. doi:10.18632/aging.101293

[9] Wang F, Hua Y, Whelton PK,Zhang T, Fernandez CA, Zhang H, et al. Relationship Between Birth Weight and the Double Product in Childhood, Adolescence, and Adulthood (from the Bogalusa Heart Study).Am J Cardiol. 2017;120: 1016–1019. doi:10.1016/j.amjcard.2017.06.037.

− 2016 −

[1] Zhang T, Zhang H, Li Y, Sun D, Li S, Fernandez C, Qi L, Harville E, Bazzano L, He J, Xue F#, Chen W#. Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult Hypertension: The Bogalusa Heart Study.Hypertension. 2016;68:818–23. [IF=6.835, citation=1]

[2] Zhang T, Zhang H, Li S, Li Y, Liu Y, Fernandez C, Harville E, Bazzano L, He J, Chen W#. Impact of Adiposity on Incident Hypertension Is Modified by Insulin Resistance in Adults: Longitudinal Observation from the Bogalusa Heart Study.Hypertension, 2016, 67(1):56-62. [IF=6.835, citation=2]

[3] Zhang T, Li Y, Zhang H, Sun D, Li S, Liu Y, Fernandez C, Harville E, Bazzano L, He J, Chen W#. Insulin-sensitive Adiposity is associated with a Relatively Lower Risk of Diabetes than Insulin-resistant Adiposity: The Bogalusa Heart Study.Endocrine.2016; 54(1):93-100. [IF=3.279, citation=0]

[4] Wang J*,†,Zhang T†, Shen X†, Liu J, Zhao D, Sun Y, Wang L, Liu Y, Gong X, Liu Y, Zhu Z-J*, Xue F,* Serum Metabolomics for Early Diagnosis of Esophageal Squamous Cell Carcinoma by UPLC-QTOF/MS,Metabolomics, 2016;12:116. Available from: http://link.springer.com/10.1007/s11306-016-1050-5. (*, Co-corresponding authors; †, Co-first authors), [IF=3.914, citation=0]

[5] Xi B*,Zhang T*, Zhao M, Li S, Mi J. Trends in elevated blood pressure among US children and adolescents: 1999-2012.Am J Hypertens. 2016; 26(2): 217-225. (*co-first author, in press) [IF=2.852, citation=0]

[6] Xi B, Bovet P, Hong YM, Zong X, Chiolero A, Kim HS,Zhang T, Zhao M. Recent blood pressure trends in adolescents from China, Korea, Seychelles and the United States of America, 1997-2012.J Hypertens, 2016; 34: 1948–58.

[7] Hua Y, Wang F,Zhang T, Zhang H, Chen W, Shen W, Fernandez C, Harville E, Bazzano L, He J, Li S. Relation of Birth Weight to Heart Rate in Childhood, Adolescence, and Adulthood (from the Bogalusa Heart Study).Am J Cardiol 2016; 118: 828–32.

[8] Yuan Z, Ji J,Zhang T, Liu Y, Zhang X, Chen W, Xue F. A novel chi-square statistic for detecting group differences between pathways in systems epidemiology.Stat Med. 2016 Dec 20;35(29):5512-5524; Available from: http://www.ncbi.nlm.nih.gov/pubmed/27605026

[9] Xi B, Zong X, Kelishadi R, …,Zhang T. Establishing International Blood Pressure References Among Non-Overweight Children and Adolescents Aged 6-17 Years.Circulation, 2016 Jan 26;133(4):398-408. DOI: 10.1161/CIRCULATIONAHA.115.017936.

[10] Fernandez C, Hsu R, Sander G, Hussain A, Barshop R, Li S, Shu T,Zhang T, Galazka P, Chen W, Bazzano L, Giles TD. Methodological evaluation of the noninvasive estimation of central systolic blood pressure in nontreated patients: the Bogalusa Heart Study.Blood Press Monit. 2016; published online Nov 29. DOI:10.1097/MBP.0000000000000224.

[11] Aslibekyan S, Do AN, Xu H, Li S, Irvin MR, Zhi D, Tiwari HK, Absher DM, Shuldiner AR,Zhang T, Chen W, Tanner K, Hong C, Mitchell BD, Berenson G, Arnett DK. Cpt1a Methylation is Associated with Plasma Adiponectin.Nutr Metab Cardiovasc Dis, 2016; published online Nov. DOI:10.1016/j.numecd.2016.11.004.

[12] Das M, Sha J, Hidalgo B, Aslibekyan S, Do AN, Zhi D, Sun D,Zhang T, Li S, Chen W, Srinivasan SR, Tiwari HK, Absher D, Ordovas JM, Berenson GS, Arnett DK, Irvin MR. Association of DNA Methylation at CPT1A Locus with Metabolic Syndrome in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study.PLoS One. 2016 [cited 2016 Jun 20]; 11: e0145789. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26808626

[13] Li H, Yuan Z, Ji J, Xu J,Zhang T, Zhang X, Xue F. A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data. BMC Genetics, 2016, 17, 51. doi:10.1186/s12863-016-0358-5

[14] Ma C,Zhang T, Xi B. Prevalence of Elevated Blood Pressure Among US Children, 2013-2014.J Clin Hypertens. 2016 [cited 2016 Jun 20]; Available from: http://doi.wiley.com/10.1111/jch.12824

[15] Li S, Xiong X, Harville E,Zhang T, Sun D, Fernandez C, … Whelton PK.Childhood Risk Factors and Pregnancy-Induced Hypertension: The Bogalusa Heart Study. Am J Hypertens. 2016 Oct; 29 (10): 1206-11. doi:10.1093/ajh/hpw057

[16] Shen X, Gong X, Cai Y, Guo Y, Tu J, Li H,Zhang T, … Zhu Z-J#. Normalization and integration of large-scale metabolomics data using support vector regression.Metabolomics, 2016, 12(5), 89. doi:10.1007/s11306-016-1026-5

[17] Zhao F,Zhang T, Li K. An optimized random forest based on genetic algorithm and its application to feature selection for gene data.Chinese Journal of Health Statistics. 2016. 33(4): 559-562. [in Chinese]

[18] Gong X, Shen X, Xu J, Zhang T, Zhu Z-J, Xue F. Influence of normality of metabolomics data on the classification accuracy of diseases.Journal of Shandong University (Health Sciences). 2016. (04): 89-93.[in Chinese]

− 2015 −

[1] Zhang T, Zhang C, Zhang Y, Tang F, Li H, Zhang Q, Lin H, Wu S, Liu Y, Xue F. Metabolic Syndrome and Its Components as Predictors of Nonalcoholic Fatty Liver Disease in a Northern Urban Han Chinese Population: A Prospective Cohort Study.Atherosclerosis, 2015. May; 240(1):144-8. [IF=4.0, citation=11]

[2] Zhang H*,Zhang T*, Li S, Hussain A, Fernandez C, Harville E, Bazzano L, He J, Chen W#. Long-term Impact of Childhood Adiposity on Adult Metabolic Syndrome Is Modified by Insulin Resistance: The Bogalusa Heart Study.Sci Rep, 2015, 5: 17885. (*co-first author) [IF=5.58, citation=0]

[3] Zhang Y*,Zhang T*, Zhang C, Tang F, Li H, Zhang Q, Lin H, Wu S, Liu Y, Xue F. Identification of Reciprocal Causality between Non-alcoholic Fatty Liver Disease and Metabolic Syndrome by Simplified Bayesian network in Chinese Population.BMJ Open. 2015; 5(9), e008204. http://doi.org/10.1136/bmjopen-2015-008204 (*co-first author) [IF=2.852, citation=0]

[4] Ding, L., Zhang, C., Zhang, G.,Zhang, T., Zhao, M., Ji, X., … Xue, F. A new insight into the role of plasma fibrinogen in the development of metabolic syndrome from a prospective cohort study in urban Han Chinese population.Diabetology & Metabolic Syndrome, 2015, 7, 110. doi:10.1186/s13098-015-0103-7

[5] Chen W, Li S, MD, Fernandez C, Sun D, Lai C,Zhang T, Bazzano L, Urbina E, Deng H. Elevated Blood Pressure Precedes Arterial Stiffening among Middle-aged Black and White Adults: The Bogalusa Heart Study.Am J Epidemiol2015 (in press). [IF=5.23, citation=1]

[6] Chen W, Yun M, Fernandez C, Li S, Sun D, Lai CC, Hua Y, Wang F,Zhang T, Srinivasan SR, Johnson CC, Berenson GS. Secondhand Smoke Exposure Is Associated with Increased Carotid Artery Intima-media Thickness: The Bogalusa Heart Study.Atherosclerosis 2015; 240: 374-379 PMID: 25875389.

[7] Wang L,Zhang T, Liu J,Liu Y, Gong X, Xue F. Clustering the Dynamic Profile of Dynamic Omics Data Using Soft ClusteringMethod.Chinese Journal of Health Statistics. 2015. (1): 2-5+9. [in Chinese]

[8] Liu Y,Zhang T, Wang L, Liu J,Chang X, Zhang J, Xue F. Serum metabolic profiling of schizophrenia based on random forest.Journal of Shandong University (Health Sciences), 2015, 53(2): 92-96. [in Chinese]

[9] Liu Y, Liu J,Zhang T, Wang L, Xue F, Wang P. Type 2 diabetes mellitus associated with thyroid nodules: a longitudinalhealth check-up cohort study.Journal of Shandong University (Health Sciences), 2015, 53(8): 83-86. [in Chinese]

[10] Ge S, Lin W, Cong L,Zhang T, Han X, Zhang Q, Du Y. Establishment of clinical database of Alzheimer’s disease based on Web in Shandong Province.Journal of Shandong University (Health Sciences), 2015, 53(10): 42-5.[in Chinese]

− 2014 −

[1] Zhang T, Zhang Y, Zhang C, Tang F, Li H, Zhang Q, Lin H, Wu S, Liu Y, Xue F. Prediction of metabolic syndrome by non-alcoholic Fatty liver disease in northern urban han Chinese population: a prospective cohort study.PLoS One. 2014. 9(5): e96651. [IF=3.535, citation=11]

[2] Hou Y, Yin M, Sun F,Zhang T, Zhou X, Li H, Zheng J, Chen X, Li C, Ning X, Lou G, Li K. A metabolomics approach for predicting the response to neoadjuvant chemotherapy in cervical cancer patients.Mol Biosyst. 2014 Aug;10(8):2126-33. doi: 10.1039/c4mb00054d.

[3] Xi B, Zhang M,Zhang T, Liang Y, Li S, Steffen LM. Hypertension screening using blood pressure to height ratio.Pediatrics. 2014. 134(1): e106-11.

[4] Xi B, Mi J, Zhao M,Zhang T, Jia C, Li J, Zeng T, Steffen LM. Trends in Abdominal Obesity among US Children and Adolescents.Pediatrics. 2014. 134(2): e334-9.

[5] Zhou D, Yu H, He F, Reilly KH, Zhang J, Li S,Zhang T, Wang B, Ding Y, Xi B. Nut consumption in relation to cardiovascular disease risk and type 2 diabetes: a systematic review and meta-analysis of prospective studies.Am J Clin Nutr. 2014. 100(1): 270-277.

[6] Ke C,Zhang T, Wu X, Li K. The statistical method for Metabolomics data analysis,Chinese Journal of Health Statistics. 2014, 31 (2): 357-365. [in Chinese]

− 2013 −

[1] Zhang T, Wu X, Ke C, Yin M, Li Z, Fan L, Zhang W, Zhang H, Zhao F, Zhou X, Lou G#, Li K#. Identification of potential biomarkers for ovarian cancer by urinary metabolomic profiling.J Proteome Res. 2013. 12(1): 505-512. [IF=4.341, citation=62]

[2] Yin M, Hou Y,Zhang T, Cui C, Zhou X, Sun F, Li H, Li X, Zheng J, Chen X, Li C, Ning X, Li K, Lou G. Evaluation of chemotherapy response with serum squamous cell carcinoma antigen level in cervical cancer patients: a prospective cohort study.PLoS One. 2013. 8(1): e54969.

[3] Wu H,Zhang T, Zhao F, Li K. Genetic Algorithm Based on Partial Least Squares Linear Discriminant Analysis and its Application on Feature Selection of Metabolomics.Chinese Journal of Health Statistics, 2013. (04): 517-520+524. [in Chinese]

− Before 2012 −

[1] Zhang T, Wu X, Yin M, Fan L, Zhang H, Zhao F, Zhang W, Ke C, Zhang G, Hou Y, Zhou X, Lou G#, Li K#. Discrimination between malignant and benign ovarian tumors by plasma metabolomic profiling using ultra performance liquid chromatography/mass spectrometry.Clin Chim Acta. 2012. 413(9-10): 861-868. [IF=2.892, citation=43]

[2] Fan L, Zhang W, Yin M,Zhang T, Wu X, Zhang H, Sun M, Li Z, Hou Y, Zhou X, Lou G, Li K. Identification of metabolic biomarkers to diagnose epithelial ovarian cancer using a UPLC/QTOF/MS platform. Acta Oncol. 2012. 51(4): 473-9.

[3] Li Z, Fan L,Zhang T, Li K. Facile synthesis of Ag nanoparticles supported on MWCNTs with favorable stability and their bactericidal properties.J Hazard Mater. 2011. (187): 466-472.

[4] Li Z,Zhang T, Li K. One-step synthesis of mesoporous two-line ferrihydrite for effective elimination of arsenic contaminants from natural water.Dalton Trans. 2011. 40(9): 2062-6.

[5] Ning CP, Jiang SQ,Zhang T, Sun LT, Liu YJ, Tian JW. The value of strain ratio in differential diagnosis of thyroid solid nodules.Eur J Radiol. 2011. 81(2): 286-91.

[6] Zhao F, Wu Z, Hou Y,Zhang T, Li K. Efficacy of blackcurrant oil soft capsule, a Chinese herbal drug, in hyperlipidemia treatment.Phytother Res. 2010. 24 Suppl 2: S209-13.

[7] Zhang T, Zhao F, Wu Z, Li K. Radviz Visualization and Application of Gene Expression Data Analysis.Chinese Journal of Health Statistics. 2011, 01: 2-4+8. [in Chinese]

[8] Li Z,Zhang T, Wu X, Li K. Methodology of Regression by Random Forest and its Application on Metabolomics.Chinese Journal of Health Statistics, 2012, 02: 158-160+163. [in Chinese]

[9] Liu J, Zhang T, Li K. The control and estimation of False discovery rate (FDR) Multiple hypothesis testing, Chinese Journal of Health Statistics, 2012, 02, 305-308. [in Chinese]

[10] Zhang T, LiK. Attention to the cultivation of medical statistics thinking for medical graduate students.Higher medical education sciences, 2012.

[11] Fan X, Zhao G, Sun M,Zhang T. Using Random Forest Discriminant Analysis to Predict the Efficacy of Blackcurrant Oil Capsule in the High Cholesterol Treatment,Information on Traditional Chinese Medicine, 2012, 04, pp 43-46. [in Chinese]

[12] Fan X, Zhao G, Liu Y, Sun M,Zhang T, Zhao F. The Research on traditional Chinese medicine effect of Black currant oil soft capsule for treating hyperlipidemia,Acta Chinese Medicine and Pharmacology, 2012, 04, pp 83-86. [in Chinese]

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