Jingzhong Ding

15.8k total citations · 2 hit papers
105 papers, 5.4k citations indexed

About

Jingzhong Ding is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Physiology. According to data from OpenAlex, Jingzhong Ding has authored 105 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cardiology and Cardiovascular Medicine, 26 papers in Epidemiology and 26 papers in Physiology. Recurrent topics in Jingzhong Ding's work include Cardiovascular Disease and Adiposity (46 papers), Cardiovascular Effects of Exercise (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (16 papers). Jingzhong Ding is often cited by papers focused on Cardiovascular Disease and Adiposity (46 papers), Cardiovascular Effects of Exercise (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (16 papers). Jingzhong Ding collaborates with scholars based in United States, Australia and China. Jingzhong Ding's co-authors include Stephen B. Kritchevsky, Anne B. Newman, Tamara B. Harris, Barbara J. Nicklas, Frances A. Tylavsky, J. Jeffrey Carr, Matthew Allison, Jung Sun Lee, Marjolein Visser and Moysés Szklo and has published in prestigious journals such as Circulation, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Jingzhong Ding

99 papers receiving 5.3k citations

Hit Papers

Dietary protein intake is associated with lean mass chang... 2008 2026 2014 2020 2008 2023 250 500 750

Peers

Jingzhong Ding
Brian D. Duscha United States
P. G. Snell United States
Alice S. Ryan United States
Varant Kupelian United States
Jingzhong Ding
Citations per year, relative to Jingzhong Ding Jingzhong Ding (= 1×) peers Yasuharu Tabara

Countries citing papers authored by Jingzhong Ding

Since Specialization
Citations

This map shows the geographic impact of Jingzhong Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingzhong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingzhong Ding more than expected).

Fields of papers citing papers by Jingzhong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingzhong Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingzhong Ding. The network helps show where Jingzhong Ding may publish in the future.

Co-authorship network of co-authors of Jingzhong Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jingzhong Ding. A scholar is included among the top collaborators of Jingzhong Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingzhong Ding. Jingzhong Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sitlani, Colleen M., Joseph A. Delaney, Bruce M. Psaty, et al.. (2025). Associations of circulating T cell subsets with endothelial function: the Multi-Ethnic Study of Atherosclerosis. American Journal of Physiology-Heart and Circulatory Physiology. 328(6). H1374–H1379. 2 indexed citations
2.
Emrani, Sheina, Christopher L. Schaich, Sanjiv J. Shah, et al.. (2025). Carotid and regional arterial stiffness and dementia‐related imaging biomarkers in the Multi‐Ethnic Study of Atherosclerosis (MESA). Alzheimer s & Dementia. 21(10). e70688–e70688.
3.
4.
Jaeger, Byron C., Haiying Chen, Marc D. Rudolph, et al.. (2024). Subclinical Vascular Disorders in Relation to Cognitive Decline and Impairment: The Multi‐Ethnic Study of Atherosclerosis. Alzheimer s & Dementia. 20(S7).
5.
Hughes, Timothy M., Haiying Chen, Christopher L. Schaich, et al.. (2024). Subclinical vascular composites predict clinical cardiovascular disease, stroke, and dementia: The Multi-Ethnic Study of Atherosclerosis (MESA). Atherosclerosis. 392. 117521–117521. 6 indexed citations
6.
Schaich, Christopher L., Michael P. Bancks, Kathleen M. Hayden, et al.. (2023). Visit-to-Visit Glucose Variability, Cognition, and Global Cognitive Decline: The Multi-Ethnic Study of Atherosclerosis. The Journal of Clinical Endocrinology & Metabolism. 109(1). e243–e252. 4 indexed citations
7.
Mishra, Sidharth P., Bo Wang, Shalini Jain, et al.. (2023). A mechanism by which gut microbiota elevates permeability and inflammation in obese/diabetic mice and human gut. Gut. 72(10). 1848–1865. 150 indexed citations breakdown →
9.
Lange, Leslie A., François Aguet, Kristin Ardlie, et al.. (2022). Gene expression associations with body mass index in the Multi-Ethnic Study of Atherosclerosis. International Journal of Obesity. 47(2). 109–116. 5 indexed citations
10.
Schmitz, Lauren, Wei Zhao, Scott M. Ratliff, et al.. (2021). The Socioeconomic Gradient in Epigenetic Ageing Clocks: Evidence from the Multi-Ethnic Study of Atherosclerosis and the Health and Retirement Study. Epigenetics. 17(6). 589–611. 74 indexed citations
11.
Anderson, Michaela R., John S. Kim, Matthew Allison, et al.. (2021). Adiposity and Interstitial Lung Abnormalities in Community-Dwelling Adults. CHEST Journal. 160(2). 582–594. 15 indexed citations
12.
Patel, Ravi B., Laura A. Colangelo, Suzette J. Bielinski, et al.. (2020). Circulating Vascular Cell Adhesion Molecule‐1 and Incident Heart Failure: The Multi‐Ethnic Study of Atherosclerosis (MESA). Journal of the American Heart Association. 9(22). e019390–e019390. 40 indexed citations
13.
Kawut, Steven M., Jingzhong Ding, David A. Bluemke, et al.. (2016). Pericardial Fat and Right Ventricular Morphology: The Multi-Ethnic Study of Atherosclerosis- Right Ventricle Study (MESA-RV). PLoS ONE. 11(6). e0157654–e0157654. 9 indexed citations
14.
Shah, Ravi V., Venkatesh L. Murthy, Siddique Abbasi, et al.. (2014). Visceral Adiposity and the Risk of Metabolic Syndrome Across Body Mass Index. JACC. Cardiovascular imaging. 7(12). 1221–1235. 308 indexed citations
15.
Qi, Qibin, Claudia Menzaghi, Shelly G. Smith, et al.. (2012). Genome-wide association analysis identifies TYW3/CRYZ and NDST4 loci associated with circulating resistin levels. Human Molecular Genetics. 21(21). 4774–4780. 33 indexed citations
16.
Chughtai, Haroon, Timothy M. Morgan, Craig A. Hamilton, et al.. (2011). Intraperitoneal Fat Is Associated With Thickening of the Thoracic Aorta in Individuals at High Risk for Cardiovascular Events. Obesity. 19(9). 1784–1790. 9 indexed citations
17.
Ding, Jingzhong, Fang‐Chi Hsu, Tamara B. Harris, et al.. (2009). The association of pericardial fat with incident coronary heart disease: the Multi-Ethnic Study of Atherosclerosis (MESA). American Journal of Clinical Nutrition. 90(3). 499–504. 370 indexed citations
18.
Ding, Jingzhong, Stephen B. Kritchevsky, Fang‐Chi Hsu, et al.. (2008). Association between non-subcutaneous adiposity and calcified coronary plaque: a substudy of the Multi-Ethnic Study of Atherosclerosis. American Journal of Clinical Nutrition. 88(3). 645–650. 68 indexed citations
19.
Fried, Linda F., Jung Sun Lee, Michael G. Shlipak, et al.. (2006). Chronic Kidney Disease and Functional Limitation in Older People: Health, Aging and Body Composition Study. Journal of the American Geriatrics Society. 54(5). 750–756. 157 indexed citations
20.
Ruhl, Constance E., James E. Everhart, Jingzhong Ding, et al.. (2004). Serum leptin concentrations and body adipose measures in older black and white adults. American Journal of Clinical Nutrition. 80(3). 576–583. 63 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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