Kevin W. Aylor
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones 10
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- Growth Hormone and Insulin-like Growth Factors 9
- Diabetes Treatment and Management 5
- Physiology top 5%
- Adipose Tissue and Metabolism 7
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- Cardiovascular Health and Disease Prevention 5
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- Adipokines, Inflammation, and Metabolic Diseases 9
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- TGF-β signaling in diseases 7
- Metabolism, Diabetes, and Cancer 5
- Co-authors
- Eugene J. BarrettJohn C. MarshallDaniel J. HaisenlederLaura L. BurgerZhenqi LiuAlan C. DalkinZhuo FuSarah M. Gray
- Journals
- Circulation Research (1 paper)The Journal of Clinical Endocrinology & Metabolism (2 papers)Diabetes Care (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Kevin W. Aylor
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Reproductive Medicine 307
- Endocrinology, Diabetes and Metabolism 389
- Endocrine and Autonomic Systems 120
- Physiology 379
- Cardiology and Cardiovascular Medicine 246
Countries citing papers authored by Kevin W. Aylor
This map shows the geographic impact of Kevin W. Aylor'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 Kevin W. Aylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin W. Aylor more than expected).
Fields of papers citing papers by Kevin W. Aylor
This network shows the impact of papers produced by Kevin W. Aylor. 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 Kevin W. Aylor. The network helps show where Kevin W. Aylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin W. Aylor, 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 | 2024 | 1 | |
| 2 | 2023 | 22 | |
| 3 | 2017 | 89 | |
| 4 | 2017 | 16 | |
| 5 | 2016 | 57 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 80 | |
| 8 | 2013 | 88 | |
| 9 | 2009 | 40 | |
| 10 | 2008 | 52 | |
| 11 | 2007 | 23 | |
| 12 | 2006 | 3 | |
| 13 | 2006 | 112 | |
| 14 | 2004 | 14 | |
| 15 | 2004 | 15 | |
| 16 | 2002 | 91 | |
| 17 | 2001 | 26 | |
| 18 | 2001 | 29 | |
| 19 | 1998 | 36 | |
| 20 | 1997 | 93 |
About Kevin W. Aylor
Kevin W. Aylor is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), TGF-β signaling in diseases (7 papers), Adipose Tissue and Metabolism (7 papers), Diabetes Treatment and Management (5 papers), Metabolism, Diabetes, and Cancer (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Reproductive Medicine (307 citations), Endocrinology, Diabetes and Metabolism (389 citations) and Endocrine and Autonomic Systems (120 citations). Kevin W. Aylor has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Eugene J. Barrett, John C. Marshall, Daniel J. Haisenleder, Laura L. Burger, Zhenqi Liu, Alan C. Dalkin, Zhuo Fu, Sarah M. Gray, Weidong Chai and Aileen X. Wang. Their work appears in journals such as Circulation Research, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.