Kevin C.J. Yuen
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- Growth Hormone and Insulin-like Growth Factors 97
- Pituitary Gland Disorders and Treatments 61
- Adrenal Hormones and Disorders 18
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- Childhood Cancer Survivors' Quality of Life 15
- Genetics top 5%
- Physiology top 5%
- Diet and metabolism studies 19
- Neurology top 5%
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- Lipid metabolism and disorders 22
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- Adrenal and Paraganglionic Tumors 12
- Pancreatic function and diabetes 12
- Co-authors
- David B. DungerBeverly M. K. BillerBradley S. MillerDavid M. CookAndrew R. HoffmanGerry RaymanBen LiangBaochun Li
- Journals
- The Journal of Clinical Endocrinology & Metabolism (20 papers)Endocrine Practice (17 papers)Pituitary (11 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Kevin C.J. Yuen
137 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 2.3k
- Pediatrics, Perinatology and Child Health 432
- Genetics 562
- Physiology 484
- Neurology 255
Countries citing papers authored by Kevin C.J. Yuen
This map shows the geographic impact of Kevin C.J. Yuen'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 C.J. Yuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin C.J. Yuen more than expected).
Fields of papers citing papers by Kevin C.J. Yuen
This network shows the impact of papers produced by Kevin C.J. Yuen. 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 C.J. Yuen. The network helps show where Kevin C.J. Yuen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin C.J. Yuen, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 16 | |
| 14 | 2022 | 8 | |
| 15 | 2019 | 27 | |
| 16 | 2019 | 175 | |
| 17 | 2014 | 5 | |
| 18 | 2012 | 6 | |
| 19 | 2009 | 29 | |
| 20 | 2007 | 1 |
About Kevin C.J. Yuen
Kevin C.J. Yuen is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Physiology, having authored 147 papers that have together received 3.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (97 papers), Pituitary Gland Disorders and Treatments (61 papers), Lipid metabolism and disorders (22 papers), Diet and metabolism studies (19 papers), Adrenal Hormones and Disorders (18 papers), Childhood Cancer Survivors' Quality of Life (15 papers), Adrenal and Paraganglionic Tumors (12 papers) and Pancreatic function and diabetes (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Pediatrics, Perinatology and Child Health (432 citations), Genetics (562 citations), Physiology (484 citations) and Neurology (255 citations). Kevin C.J. Yuen has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include David B. Dunger, Beverly M. K. Biller, Bradley S. Miller, David M. Cook, Andrew R. Hoffman, Gerry Rayman, Ben Liang, Baochun Li, Neil R. Baker and John D. Carmichael. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrine Practice, Pituitary, Clinical Endocrinology and Growth Hormone & IGF Research.
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.