M. Vinayaga Moorthy

2.9k total citations · 1 hit paper
46 papers, 1.9k citations indexed

About

M. Vinayaga Moorthy is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M. Vinayaga Moorthy has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 14 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M. Vinayaga Moorthy's work include Cardiovascular Function and Risk Factors (8 papers), Lipoproteins and Cardiovascular Health (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). M. Vinayaga Moorthy is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Lipoproteins and Cardiovascular Health (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). M. Vinayaga Moorthy collaborates with scholars based in United States, Switzerland and Canada. M. Vinayaga Moorthy's co-authors include I‐Min Lee, Julie E. Buring, Nancy R. Cook, Samia Mora, Paul M. Ridker, Christine M. Albert, JoAnn E. Manson, Shumin M. Zhang, Howard D. Sesso and Olga Demler and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

M. Vinayaga Moorthy

46 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inflammation, Cholesterol, Lipoprotein(a), and 30-Year Cardiovascular Outcomes in Women

2024 109 citations Paul M. Ridker, M. Vinayaga Moorthy et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Vinayaga Moorthy United States	26	649	310	279	274	253	46	1.9k
Colleen M. Sitlani United States	24	688 1.1×	295 1.0×	279 1.0×	238 0.9×	166 0.7×	79	2.2k
Rocío Mateo‐Gállego Spain	22	367 0.6×	578 1.9×	255 0.9×	259 0.9×	636 2.5×	92	1.8k
Chiara Giannarelli United States	34	1.3k 2.0×	490 1.6×	383 1.4×	251 0.9×	401 1.6×	88	3.1k
Jeetesh V. Patel United Kingdom	24	903 1.4×	305 1.0×	158 0.6×	150 0.5×	330 1.3×	52	2.1k
Ningling Sun China	21	747 1.2×	340 1.1×	231 0.8×	222 0.8×	281 1.1×	127	2.0k
Marcelo Chiara Bertolami Brazil	25	345 0.5×	685 2.2×	367 1.3×	252 0.9×	385 1.5×	71	1.9k
Emmanuel Androulakis Greece	19	751 1.2×	242 0.8×	198 0.7×	91 0.3×	204 0.8×	106	1.7k
Dong Zhao China	24	492 0.8×	437 1.4×	197 0.7×	123 0.4×	606 2.4×	147	2.3k
Chizuko Maruyama Japan	20	310 0.5×	405 1.3×	302 1.1×	321 1.2×	397 1.6×	72	1.5k
Sergio D’Addato Italy	27	478 0.7×	434 1.4×	141 0.5×	122 0.4×	361 1.4×	90	1.8k

Countries citing papers authored by M. Vinayaga Moorthy

Since Specialization

Citations

This map shows the geographic impact of M. Vinayaga Moorthy'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 M. Vinayaga Moorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vinayaga Moorthy more than expected).

Fields of papers citing papers by M. Vinayaga Moorthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Vinayaga Moorthy. 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 M. Vinayaga Moorthy. The network helps show where M. Vinayaga Moorthy may publish in the future.

Co-authorship network of co-authors of M. Vinayaga Moorthy

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vinayaga Moorthy. A scholar is included among the top collaborators of M. Vinayaga Moorthy 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 M. Vinayaga Moorthy. M. Vinayaga Moorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ridker, Paul M., Gemma A. Figtree, M. Vinayaga Moorthy, Samia Mora, & Julie E. Buring. (2025). C-reactive protein and cardiovascular risk among women with no standard modifiable risk factors: evaluating the ‘SMuRF-less but inflamed’. European Heart Journal. 47(3). 306–314. 6 indexed citations

Ridker, Paul M., M. Vinayaga Moorthy, Nancy R. Cook, et al.. (2024). Inflammation, Cholesterol, Lipoprotein(a), and 30-Year Cardiovascular Outcomes in Women. New England Journal of Medicine. 391(22). 2087–2097. 109 indexed citations breakdown →

Vyas, Chirag M., JoAnn E. Manson, Howard D. Sesso, et al.. (2023). Effect of cocoa extract supplementation on cognitive function: results from the clinic subcohort of the COSMOS trial. American Journal of Clinical Nutrition. 119(1). 39–48. 8 indexed citations

Popescu, Dan M., Julie K. Shade, Konstantinos N. Aronis, et al.. (2022). Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart. Nature Cardiovascular Research. 1(4). 334–343. 58 indexed citations

Sesso, Howard D., JoAnn E. Manson, Aaron K. Aragaki, et al.. (2022). Effect of cocoa flavanol supplementation for the prevention of cardiovascular disease events: the COcoa Supplement and Multivitamin Outcomes Study (COSMOS) randomized clinical trial. American Journal of Clinical Nutrition. 115(6). 1490–1500. 101 indexed citations

Sesso, Howard D., Pamela M. Rist, Aaron K. Aragaki, et al.. (2022). Multivitamins in the prevention of cancer and cardiovascular disease: the COcoa Supplement and Multivitamin Outcomes Study (COSMOS) randomized clinical trial. American Journal of Clinical Nutrition. 115(6). 1501–1510. 30 indexed citations

Sandhu, Roopinder K., Jacqueline S. Dron, Yunxian Liu, et al.. (2022). Polygenic Risk Score Predicts Sudden Death in Patients With Coronary Disease and Preserved Systolic Function. Journal of the American College of Cardiology. 80(9). 873–883. 10 indexed citations

Albert, Christine M., Nancy R. Cook, Julie Pester, et al.. (2021). Effect of Marine Omega-3 Fatty Acid and Vitamin D Supplementation on Incident Atrial Fibrillation. JAMA. 325(11). 1061–1061. 87 indexed citations

Refaat, Marwan M., et al.. (2021). Exercise-Induced Ventricular Ectopy and Cardiovascular Mortality in Asymptomatic Individuals. Journal of the American College of Cardiology. 78(23). 2267–2277. 17 indexed citations

10.

Venkateswaran, Ramkumar, M. Vinayaga Moorthy, Neal A. Chatterjee, et al.. (2021). Diabetes and Risk of Sudden Death in Coronary Artery Disease Patients Without Severe Systolic Dysfunction. JACC. Clinical electrophysiology. 7(12). 1604–1614. 4 indexed citations

11.

Panicker, Gopi Krishna, Dhiraj Narula, Christine M. Albert, et al.. (2020). Validation of electrocardiographic criteria for identifying left ventricular dysfunction in patients with previous myocardial infarction. Annals of Noninvasive Electrocardiology. 26(2). e12812–e12812. 3 indexed citations

12.

Silverman, Michael G., Ashish Yeri, M. Vinayaga Moorthy, et al.. (2019). Circulating miRNAs and Risk of Sudden Death in Patients With Coronary Heart Disease. JACC. Clinical electrophysiology. 6(1). 70–79. 25 indexed citations

13.

Dugani, Sagar B., Waheed Murad, Zareen Farukhi, et al.. (2019). Premature Myocardial Infarction in the Middle East and North Africa: Rationale for the Gulf PREVENT Study. Angiology. 71(1). 17–26. 13 indexed citations

14.

Chatterjee, Neal A., Claudia U. Chae, Eun-Jung Kim, et al.. (2017). Modifiable Risk Factors for Incident Heart Failure in Atrial Fibrillation. JACC Heart Failure. 5(8). 552–560. 56 indexed citations

15.

Harada, Paulo H. N., Olga Demler, Sagar B. Dugani, et al.. (2017). Lipoprotein insulin resistance score and risk of incident diabetes during extended follow-up of 20 years: The Women's Health Study. Journal of clinical lipidology. 11(5). 1257–1267.e2. 43 indexed citations

16.

Albert, Christine M., Neal A. Chatterjee, Jorge Wong, et al.. (2016). Abstract 18032: Psychological Stressors and Atrial Fibrillation in Middle-Aged and Older Women. Circulation. 1 indexed citations

17.

Chandler, Paulette D., Yiqing Song, Jennifer Lin, et al.. (2016). Lipid biomarkers and long-term risk of cancer in the Women’s Health Study. American Journal of Clinical Nutrition. 103(6). 1397–1407. 118 indexed citations

18.

Chiuve, Stephanie E., Roopinder K. Sandhu, M. Vinayaga Moorthy, Robert J. Glynn, & Christine M. Albert. (2015). Dietary Fat Intake Is Differentially Associated with Risk of Paroxysmal Compared with Sustained Atrial Fibrillation in Women. Journal of Nutrition. 145(9). 2092–2101. 12 indexed citations

19.

Chandler, Paulette D., Julie E. Buring, JoAnn E. Manson, et al.. (2015). Association between plasma adiponectin levels and colorectal cancer risk in women. Cancer Causes & Control. 26(7). 1047–1052. 13 indexed citations

20.

Chandler, Paulette D., Julie E. Buring, JoAnn E. Manson, et al.. (2015). Circulating Vitamin D Levels and Risk of Colorectal Cancer in Women. Cancer Prevention Research. 8(8). 675–682. 49 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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