Moti L. Kashyap
- Endocrinology, Diabetes and Metabolism top 0.1%
- Surgery top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Cancer Research top 1%
- Co-authors
- Vaijinath S. KamannaShobha H. GanjiRichard J. HavelJohn P. KaneBarbara A. HyndCharles D. MeyersPeter S. GartsideFu-You Jin
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (85 papers)Lipoproteins and Cardiovascular Health (60 papers)Lipid metabolism and disorders (38 papers)
- Partner nations
- United StatesRussiaSingapore
In The Last Decade
Moti L. Kashyap
161 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Endocrinology, Diabetes and Metabolism 4.5k
- Surgery 4.1k
- Cardiology and Cardiovascular Medicine 1.8k
- Molecular Biology 1.6k
- Cancer Research 1.5k
Countries citing papers authored by Moti L. Kashyap
This map shows the geographic impact of Moti L. Kashyap'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 Moti L. Kashyap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moti L. Kashyap more than expected).
Fields of papers citing papers by Moti L. Kashyap
This network shows the impact of papers produced by Moti L. Kashyap. 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 Moti L. Kashyap. The network helps show where Moti L. Kashyap may publish in the future.
Co-authorship network of co-authors of Moti L. Kashyap
This figure shows the co-authorship network connecting the top 25 collaborators of Moti L. Kashyap. A scholar is included among the top collaborators of Moti L. Kashyap 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 Moti L. Kashyap. Moti L. Kashyap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 85 | |
| 3 | 140 | |
| 4 | 42 | |
| 5 | 23 | |
| 6 | 106 | |
| 7 | 27 | |
| 8 | 14 | |
| 9 | 186 | |
| 10 | 41 | |
| 11 | 32 | |
| 12 | 21 | |
| 13 | 32 | |
| 14 | Cholesterol and atherosclerosis: a contemporary perspective. | 15 |
| 15 | 1 | |
| 16 | 190 | |
| 17 | 72 | |
| 18 | 39 | |
| 19 | 7 | |
| 20 | 17 |
About Moti L. Kashyap
Moti L. Kashyap is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 162 papers that have together received 8.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (85 papers), Lipoproteins and Cardiovascular Health (60 papers) and Lipid metabolism and disorders (38 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.5k citations), Cancer Research (1.5k citations) and Surgery (4.1k citations). Moti L. Kashyap has collaborated with scholars based in United States, Russia and Singapore. Frequent co-authors include Vaijinath S. Kamanna, Shobha H. Ganji, Richard J. Havel, John P. Kane, Barbara A. Hynd, Charles D. Meyers, Peter S. Gartside, Fu-You Jin, Keijiro Saku and Laxmi Srivastava. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.