Darcy Kahn
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Nutrition and Health in Aging
Papers in
- Physiology 14
- Adipose Tissue and Metabolism 11
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- Sphingolipid Metabolism and Signaling 5
- Co-authors
- Bryan C. Bergman (14 shared papers)Paul S. MacLean (4 shared papers)Anna A. Kerege (8 shared papers)Leigh Perreault (9 shared papers)Sean A. Newsom (7 shared papers)Allison Strauss (3 shared papers)Kathleen A. Harrison (5 shared papers)Matthew R. Jackman (3 shared papers)
- Journals
- Diabetes (4 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Diabetologia (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Nutritional Neuroscience (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Darcy Kahn
18 papers receiving 614 citations
Peers
Comparison fields: 5 of 75
- Physiology 360
- Endocrine and Autonomic Systems 46
- Endocrinology, Diabetes and Metabolism 86
- Cell Biology 84
- Biochemistry 36
Countries citing papers authored by Darcy Kahn
This map shows the geographic impact of Darcy Kahn'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 Darcy Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darcy Kahn more than expected).
Fields of papers citing papers by Darcy Kahn
This network shows the impact of papers produced by Darcy Kahn. 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 Darcy Kahn. The network helps show where Darcy Kahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Darcy Kahn, 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 | 2019 | 133 | |
| 2 | 2018 | 132 | |
| 3 | 2018 | 83 | |
| 4 | 2019 | 72 | |
| 5 | 2018 | 49 | |
| 6 | 2022 | 47 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 21 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2023 | 1 |
About Darcy Kahn
Darcy Kahn is a scholar working on Physiology, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 18 papers that have together received 619 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Sphingolipid Metabolism and Signaling (5 papers), Regulation of Appetite and Obesity (4 papers), Cardiovascular Disease and Adiposity (3 papers), Pancreatic function and diabetes (2 papers), Lipid metabolism and biosynthesis (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Physiology (360 citations), Endocrine and Autonomic Systems (46 citations), Endocrinology, Diabetes and Metabolism (86 citations), Cell Biology (84 citations) and Biochemistry (36 citations). Darcy Kahn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Bryan C. Bergman, Paul S. MacLean, Anna A. Kerege, Leigh Perreault, Sean A. Newsom, Allison Strauss, Kathleen A. Harrison, Matthew R. Jackman, Simona Zarini and Jonathan A. Schoen. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Diabetologia, The Journal of Clinical Endocrinology & Metabolism and Nutritional Neuroscience.
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.