Jerry R. Colca
Impact in
-
- Diet, Metabolism, and Disease
- Biochemistry top 1%
Papers in
-
- Diabetes Treatment and Management 14
- Diet, Metabolism, and Disease 12
- Diabetes Management and Research 11
- Physiology 37
- Adipose Tissue and Metabolism 24
- Co-authors
- Michael L. McDanielWilliam Graham McDonaldNirmala KotagalCecilia HofmannJohn TurkRolf F. KletzienKathryn LorenzBarbara J. Palazuk
- Journals
- Expert Opinion on Investigational Drugs (18 papers)Journal of Biological Chemistry (9 papers)Biochemical Journal (5 papers)Diabetes (4 papers)Endocrinology (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jerry R. Colca
113 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Endocrinology, Diabetes and Metabolism 1.1k
- Biochemistry 349
- Clinical Biochemistry 311
- Physiology 1.1k
- Molecular Biology 2.9k
Countries citing papers authored by Jerry R. Colca
This map shows the geographic impact of Jerry R. Colca'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 Jerry R. Colca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry R. Colca more than expected).
Fields of papers citing papers by Jerry R. Colca
This network shows the impact of papers produced by Jerry R. Colca. 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 Jerry R. Colca. The network helps show where Jerry R. Colca may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerry R. Colca, 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 | 2023 | 21 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 16 | |
| 8 | Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials Hit paper breakdown → | 2020 | 263 |
| 9 | 2018 | 57 | |
| 10 | 2015 | 26 | |
| 11 | 2013 | 237 | |
| 12 | 2013 | 61 | |
| 13 | 2012 | 1 | |
| 14 | 2007 | 5 | |
| 15 | 2007 | 198 | |
| 16 | 1994 | 22 | |
| 17 | 1990 | 76 | |
| 18 | 1988 | 26 | |
| 19 | 1988 | 16 | |
| 20 | 1983 | 128 |
About Jerry R. Colca
Jerry R. Colca is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Surgery and Clinical Biochemistry, having authored 115 papers that have together received 5.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (52 papers), Pancreatic function and diabetes (43 papers), Peroxisome Proliferator-Activated Receptors (27 papers), Adipose Tissue and Metabolism (24 papers), Diabetes Treatment and Management (14 papers), Diet, Metabolism, and Disease (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Diabetes Management and Research (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Biochemistry (349 citations), Clinical Biochemistry (311 citations), Physiology (1.1k citations) and Molecular Biology (2.9k citations). Jerry R. Colca has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael L. McDaniel, William Graham McDonald, Nirmala Kotagal, Cecilia Hofmann, John Turk, Rolf F. Kletzien, Kathryn Lorenz, Barbara J. Palazuk, Brian N. Finck and C. Hofmann. Their work appears in journals such as Expert Opinion on Investigational Drugs, Journal of Biological Chemistry, Biochemical Journal, Diabetes and Endocrinology.
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.