Sridharan Raghavan
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Jeffery S. CoxSarah A. StanleyWilliam W. HwangJason L. VassyLawrence S. PhillipsPeter W.F. WilsonYuk‐Lam HoDavid Gagnon
- Topics
- Diabetes Treatment and Management (15 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Diabetes Management and Research (10 papers)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Sridharan Raghavan
48 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Infectious Diseases 715
- Epidemiology 695
- Molecular Biology 470
- Endocrinology, Diabetes and Metabolism 347
- Immunology 345
Countries citing papers authored by Sridharan Raghavan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 16 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Associationbreakdown → | 207 |
| 9 | 0 | |
| 10 | 21 | |
| 11 | 6 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 160 | |
| 20 | 150 |
About Sridharan Raghavan
Sridharan Raghavan is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Diabetes Management and Research (10 papers). The work is most often cited by research in Molecular Medicine (195 citations), Infectious Diseases (715 citations) and Endocrinology, Diabetes and Metabolism (347 citations). Sridharan Raghavan has collaborated with scholars based in United States, Australia and Sweden. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.