Thomas P. Bersot
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Molecular Biology
- Cancer Research top 5%
- Epidemiology top 5%
- Co-authors
- Robert W. MahleyKarl H. WeisgraberS C RallT L InnerarityGuido FranceschiniCesare R. SirtoriH.G. WindmuellerScott M. Grundy
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers)Lipoproteins and Cardiovascular Health (20 papers)Cancer, Lipids, and Metabolism (10 papers)
- Partner nations
- United StatesTürkiyeCanada
In The Last Decade
Thomas P. Bersot
41 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 1.4k
- Surgery 1.2k
- Molecular Biology 670
- Cancer Research 581
- Epidemiology 514
Countries citing papers authored by Thomas P. Bersot
This map shows the geographic impact of Thomas P. Bersot'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 Thomas P. Bersot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas P. Bersot more than expected).
Fields of papers citing papers by Thomas P. Bersot
This network shows the impact of papers produced by Thomas P. Bersot. 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 Thomas P. Bersot. The network helps show where Thomas P. Bersot may publish in the future.
Co-authorship network of co-authors of Thomas P. Bersot
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Bersot. A scholar is included among the top collaborators of Thomas P. Bersot 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 Thomas P. Bersot. Thomas P. Bersot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 172 | |
| 2 | 23 | |
| 3 | 127 | |
| 4 | 49 | |
| 5 | 37 | |
| 6 | 36 | |
| 7 | 57 | |
| 8 | 34 | |
| 9 | 2 | |
| 10 | New Findings of the Turkish Heart Study: Guiding Treatment Suggestions for Levels of Plasma Lipids and Low HDL | 1 |
| 11 | 16 | |
| 12 | Managing dyslipidemia in Turkey: suggested guidelines for a population characterized by low levels of high density lipoprotein cholesterol. | 11 |
| 13 | 39 | |
| 14 | 59 | |
| 15 | A Preliminary Report on the Sensitivity of Plasma Lipoproteins to Low-dose Simvastatin in Nine Turkish Men | 2 |
| 16 | 23 | |
| 17 | 86 | |
| 18 | 30 | |
| 19 | 124 | |
| 20 | 183 |
About Thomas P. Bersot
Thomas P. Bersot is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), Lipoproteins and Cardiovascular Health (20 papers) and Cancer, Lipids, and Metabolism (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cancer Research (581 citations) and Surgery (1.2k citations). Thomas P. Bersot has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Robert W. Mahley, Karl H. Weisgraber, S C Rall, T L Innerarity, Guido Franceschini, Cesare R. Sirtori, H.G. Windmueller, Scott M. Grundy, Ahmet Selçuk Can and Philip J. Barter. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.