Jere P. Segrest
- Molecular Biology top 0.5%
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cancer Research top 1%
- Biochemistry top 0.2%
- Co-authors
- G.M. AnantharamaiahRichard L. JacksonB H ChungMartin K. JonesHans De LoofV. MarchesiVinod MishraStephen C. Harvey
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (67 papers)Lipid Membrane Structure and Behavior (48 papers)Lipoproteins and Cardiovascular Health (44 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Jere P. Segrest
191 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 7.5k
- Surgery 4.2k
- Endocrinology, Diabetes and Metabolism 3.6k
- Cancer Research 1.4k
- Biochemistry 1.2k
Countries citing papers authored by Jere P. Segrest
This map shows the geographic impact of Jere P. Segrest'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 Jere P. Segrest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jere P. Segrest more than expected).
Fields of papers citing papers by Jere P. Segrest
This network shows the impact of papers produced by Jere P. Segrest. 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 Jere P. Segrest. The network helps show where Jere P. Segrest may publish in the future.
Co-authorship network of co-authors of Jere P. Segrest
This figure shows the co-authorship network connecting the top 25 collaborators of Jere P. Segrest. A scholar is included among the top collaborators of Jere P. Segrest 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 Jere P. Segrest. Jere P. Segrest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 23 | |
| 5 | 34 | |
| 6 | 25 | |
| 7 | 78 | |
| 8 | 64 | |
| 9 | 53 | |
| 10 | 34 | |
| 11 | 110 | |
| 12 | 21 | |
| 13 | 184 | |
| 14 | 4 | |
| 15 | 56 | |
| 16 | 18 | |
| 17 | 60 | |
| 18 | 417 | |
| 19 | Characterization, cell biology, and metabolism | 2 |
| 20 | 11 |
About Jere P. Segrest
Jere P. Segrest is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 192 papers that have together received 13.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (67 papers), Lipid Membrane Structure and Behavior (48 papers) and Lipoproteins and Cardiovascular Health (44 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.6k citations), Biochemistry (1.2k citations) and Molecular Biology (7.5k citations). Jere P. Segrest has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include G.M. Anantharamaiah, Richard L. Jackson, B H Chung, Martin K. Jones, Hans De Loof, V. Marchesi, Vinod Mishra, Stephen C. Harvey, Christie G. Brouillette and Mayakonda N. Palgunachari. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.