Jere P. Segrest
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- Diabetes, Cardiovascular Risks, and Lipoproteins 67
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis 21
- Molecular Biology top 0.5%
- Lipid Membrane Structure and Behavior 48
- Protein Structure and Dynamics 39
- Peroxisome Proliferator-Activated Receptors 28
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis 21
- Microbiology top 0.5%
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- Lipoproteins and Cardiovascular Health 44
- Cholesterol and Lipid Metabolism 42
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- Cancer, Lipids, and Metabolism 29
- Co-authors
- G.M. AnantharamaiahRichard L. JacksonB H ChungMartin K. JonesHans De LoofV. MarchesiVinod MishraStephen C. Harvey
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (36 papers)Circulation (2 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
- Endocrinology, Diabetes and Metabolism 3.6k
- Biochemistry 1.2k
- Molecular Biology 7.5k
- Biochemistry 631
- Microbiology 649
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
The 25 scholars most cited alongside Jere P. Segrest, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 17 | |
| 4 | 2016 | 23 | |
| 5 | 2015 | 34 | |
| 6 | 2014 | 25 | |
| 7 | 2007 | 78 | |
| 8 | 2004 | 64 | |
| 9 | 2002 | 53 | |
| 10 | 2000 | 34 | |
| 11 | 2000 | 110 | |
| 12 | 1998 | 21 | |
| 13 | 1995 | 184 | |
| 14 | 1993 | 4 | |
| 15 | 1991 | 56 | |
| 16 | 1990 | 18 | |
| 17 | 1989 | 60 | |
| 18 | 1986 | 417 | |
| 19 | Characterization, cell biology, and metabolism | 1986 | 2 |
| 20 | 1985 | 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), Lipoproteins and Cardiovascular Health (44 papers), Cholesterol and Lipid Metabolism (42 papers), Protein Structure and Dynamics (39 papers), Cancer, Lipids, and Metabolism (29 papers), Peroxisome Proliferator-Activated Receptors (28 papers) and Lipid metabolism and biosynthesis (21 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.