Sridharan Raghavan

5.6k total citations · 2 hit papers
54 papers, 2.1k citations indexed

About

Sridharan Raghavan is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Sridharan Raghavan has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Cardiology and Cardiovascular Medicine and 11 papers in Genetics. Recurrent topics in Sridharan Raghavan's work include Diabetes Treatment and Management (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Diabetes Management and Research (10 papers). Sridharan Raghavan is often cited by papers focused on Diabetes Treatment and Management (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Diabetes Management and Research (10 papers). Sridharan Raghavan collaborates with scholars based in United States, Australia and Sweden. Sridharan Raghavan's co-authors include Jeffery S. Cox, Sarah A. Stanley, William W. Hwang, Jason L. Vassy, Lawrence S. Phillips, Peter W.F. Wilson, Yuk‐Lam Ho, David Gagnon, Kelly Cho and Rebecca J. Song and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sridharan Raghavan

48 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Diabetes Mellitus–Related All‐Cause and Cardiovascular Mortality in a National Cohort of Adults

2019 363 citations Sridharan Raghavan, Jason L. Vassy et al. profile →
Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association

2022 207 citations Jack W. O’Sullivan, Sridharan Raghavan et al. Circulation profile →

Peers

Sridharan Raghavan

EPIDE

EDM

IMMUN

Chao Wu China

Ivan Gentile Italy

Daniela Francisci Italy

Nicola Coppola Italy

Rongbin Yu China

Rosa Zampino Italy

Matti Ristola Finland

Guglielmo Borgia Italy

Rovina Ruslami Indonesia

Clark D Russell United Kingdom

Chao Wu China

Sridharan Raghavan

1.0k ×1.4

1.0k ×1.5

EPIDE

516 ×1.1

114 ×0.3

EDM

270 ×0.8

IMMUN

Citations per year, relative to Sridharan Raghavan Sridharan Raghavan (= 1×) peers Chao Wu

Countries citing papers authored by Sridharan Raghavan

Since Specialization

Citations

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

Fields of papers citing papers by Sridharan Raghavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sridharan Raghavan. 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 Sridharan Raghavan. The network helps show where Sridharan Raghavan may publish in the future.

Co-authorship network of co-authors of Sridharan Raghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Sridharan Raghavan. A scholar is included among the top collaborators of Sridharan Raghavan 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 Sridharan Raghavan. Sridharan Raghavan 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

Knowler, William C., Sharon L. Edelstein, Peter H. Bennett, et al.. (2025). Long-term effects and effect heterogeneity of lifestyle and metformin interventions on type 2 diabetes incidence over 21 years in the US Diabetes Prevention Program randomised clinical trial. The Lancet Diabetes & Endocrinology. 13(6). 469–481. 3 indexed citations

Li, Yanping, Serena C. Houghton, Yuk‐Lam Ho, et al.. (2024). Cardiovascular Health Score and Atherosclerotic Cardiovascular Disease in the Million Veteran Program. JAMA Network Open. 7(12). e2447902–e2447902. 7 indexed citations

Litkowski, Elizabeth, Mark W. Logue, Rui Zhang, et al.. (2023). Mendelian randomization study of diabetes and dementia in the Million Veteran Program. Alzheimer s & Dementia. 19(10). 4367–4376. 16 indexed citations

Ryskina, Kira L., Zhi Geng, Sridharan Raghavan, Kimberly J. Waddell, & Robert E. Burke. (2023). Association between Timing of Clinical Evaluation by a Physician or Advanced Practitioner and Risk of Rehospitalization in Older Adults Admitted to a Skilled Nursing Facility Following Hospitalization: A Cohort Study. Journal of the American Medical Directors Association. 24(12). 1881–1887. 2 indexed citations

Raghavan, Sridharan, et al.. (2023). Primary care providers’ preferences for the communication and management of actionable genomic findings from a research biobank. SHILAP Revista de lepidopterología. 1(1). 100830–100830. 1 indexed citations

Jensen, A. E., Kelly Jones, Sridharan Raghavan, et al.. (2023). A platform for phenotyping disease progression and associated longitudinal risk factors in large-scale EHRs, with application to incident diabetes complications in the UK Biobank. JAMIA Open. 6(1). ooad006–ooad006. 5 indexed citations

Litkowski, Elizabeth, Mark W. Logue, Rui Zhang, et al.. (2022). A Diabetes Genetic Risk Score Is Associated With All-Cause Dementia and Clinically Diagnosed Vascular Dementia in the Million Veteran Program. Diabetes Care. 45(11). 2544–2552. 7 indexed citations

O’Sullivan, Jack W., Sridharan Raghavan, Carla Márquez‐Luna, et al.. (2022). Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 146(8). e93–e118. 207 indexed citations breakdown →

Raghavan, Sridharan, Kevin Josey, David Saxon, et al.. (2022). Trends in Timing of and Glycemia at Initiation of Second-line Type 2 Diabetes Treatment in U.S. Adults. Diabetes Care. 45(6). 1335–1345.

10.

Edward, Justin A., Kevin Josey, Gideon Bahn, et al.. (2022). Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis. Cardiovascular Diabetology. 21(1). 58–58. 21 indexed citations

11.

Lü, Bing, Daniel Posner, Jason L. Vassy, et al.. (2022). Prediction of Cardiovascular and All-Cause Mortality After Myocardial Infarction in US Veterans. The American Journal of Cardiology. 169. 10–17. 6 indexed citations

12.

Voils, Corrine I., Rachel Adler, Janet M. Grubber, et al.. (2020). Early-phase study of a telephone-based intervention to reduce weight regain among bariatric surgery patients.. Health Psychology. 39(5). 391–402. 13 indexed citations

13.

Raghavan, Sridharan, Seth A. Berkowitz, Anna E. Barón, et al.. (2020). Association of Glycemic Control Trajectory with Short-Term Mortality in Diabetes Patients with High Cardiovascular Risk: a Joint Latent Class Modeling Study. Journal of General Internal Medicine. 35(8). 2266–2273. 4 indexed citations

14.

Raghavan, Sridharan, P. Michael Ho, Mary E. Plomondon, et al.. (2018). Coronary artery disease severity modifies associations between glycemic control and both mortality and myocardial infarction. Journal of Diabetes and its Complications. 32(5). 480–487. 5 indexed citations

15.

Raghavan, Sridharan, David Saxon, Gary K. Grunwald, et al.. (2018). Oral diabetes medication monotherapy and short-term mortality in individuals with type 2 diabetes and coronary artery disease. BMJ Open Diabetes Research & Care. 6(1). e000516–e000516. 6 indexed citations

16.

Marzec, Lucas, Sridharan Raghavan, Farnoush Banaei‐Kashani, et al.. (2018). Device-measured physical activity data for classification of patients with ventricular arrhythmia events: A pilot investigation. PLoS ONE. 13(10). e0206153–e0206153. 9 indexed citations

17.

Raghavan, Sridharan, Ivana V. Yang, Leslie A. Lange, et al.. (2017). Association between gestational diabetes mellitus exposure and childhood adiposity is not substantially explained by offspring genetic risk of obesity. Diabetic Medicine. 34(12). 1696–1700. 11 indexed citations

18.

Raghavan, Sridharan, Bianca Porneala, Nicola M. McKeown, et al.. (2015). Metabolic factors and genetic risk mediate familial type 2 diabetes risk in the Framingham Heart Study. Diabetologia. 58(5). 988–996. 12 indexed citations

19.

Raghavan, Sridharan, Paolo Manzanillo, Kaman Chan, Cole M. Dovey, & Jeffery S. Cox. (2008). Secreted transcription factor controls Mycobacterium tuberculosis virulence. Nature. 454(7205). 717–721. 160 indexed citations

20.

MacGurn, Jason A., Sridharan Raghavan, Sarah A. Stanley, & Jeffery S. Cox. (2005). A non‐RD1 gene cluster is required for Snm secretion in Mycobacterium tuberculosis. Molecular Microbiology. 57(6). 1653–1663. 150 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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