Corey D. Holman
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Nutrition and Health in Aging
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- Cardiovascular Disease and Adiposity
Papers in
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- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 1
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- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Patrick Seale (4 shared papers)Curtis J. Bare (6 shared papers)David E. Cohen (6 shared papers)Lan Cheng (3 shared papers)H J Sheiner (1 shared paper)Alexander P. Sakers (3 shared papers)Lucy Liaw (1 shared paper)Matthew D. Lynes (1 shared paper)
- Journals
- Hepatology (2 papers)eLife (2 papers)Nature Communications (1 paper)Science Signaling (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Corey D. Holman
12 papers receiving 379 citations
Corey D. Holman's Hit Papers
Peers
Comparison fields: 5 of 62
- Physiology 175
- Cardiology and Cardiovascular Medicine 58
- Epidemiology 87
- Endocrinology, Diabetes and Metabolism 38
- Geriatrics and Gerontology 7
Countries citing papers authored by Corey D. Holman
This map shows the geographic impact of Corey D. Holman'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 Corey D. Holman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey D. Holman more than expected).
Fields of papers citing papers by Corey D. Holman
This network shows the impact of papers produced by Corey D. Holman. 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 Corey D. Holman. The network helps show where Corey D. Holman may publish in the future.
Co-authors
The 25 scholars most cited alongside Corey D. Holman, 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 | 2021 | 95 | |
| 2 | Antibody blockade of activin type II receptors preserves skeletal muscle mass and enhances fat loss during GLP-1 receptor agonism Hit paper breakdown → | 2024 | 66 |
| 3 | 2020 | 56 | |
| 4 | 2022 | 36 | |
| 5 | 2004 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2023 | 22 | |
| 8 | 2020 | 18 | |
| 9 | 2003 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 0 |
About Corey D. Holman
Corey D. Holman is a scholar working on Physiology, Epidemiology, Molecular Biology, Biochemistry and Surgery, having authored 13 papers that have together received 381 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Lipid metabolism and biosynthesis (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (2 papers), Fibroblast Growth Factor Research (2 papers), Exercise and Physiological Responses (2 papers), Diet and metabolism studies (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (175 citations), Cardiology and Cardiovascular Medicine (58 citations), Epidemiology (87 citations), Endocrinology, Diabetes and Metabolism (38 citations) and Geriatrics and Gerontology (7 citations). Corey D. Holman has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Patrick Seale, Curtis J. Bare, David E. Cohen, Lan Cheng, H J Sheiner, Alexander P. Sakers, Lucy Liaw, Matthew D. Lynes, Katalin Suszták and Yu‐Hua Tseng. Their work appears in journals such as Hepatology, eLife, Nature Communications, Science Signaling and The FASEB Journal.
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.