Kemin Yan
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Diet, Metabolism, and Disease
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
- Physiology 13
- Adipose Tissue and Metabolism 5
- Dietary Effects on Health 3
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- Adipokines, Inflammation, and Metabolic Diseases 8
- Co-authors
- Hui Pan (22 shared papers)Fengying Gong (23 shared papers)Linjie Wang (22 shared papers)Hongbo Yang (20 shared papers)Huijuan Zhu (21 shared papers)Meijuan Liu (14 shared papers)Naishi Li (5 shared papers)Huijuan Zhu (3 shared papers)
- Journals
- Frontiers in Endocrinology (4 papers)Frontiers in Physiology (3 papers)Frontiers in Pharmacology (3 papers)Adipocyte (2 papers)Nutrition Metabolism and Cardiovascular Diseases (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kemin Yan
33 papers receiving 424 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 79
- Physiology 105
- Analytical Chemistry 32
- Geriatrics and Gerontology 8
- Epidemiology 77
Countries citing papers authored by Kemin Yan
This map shows the geographic impact of Kemin Yan'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 Kemin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kemin Yan more than expected).
Fields of papers citing papers by Kemin Yan
This network shows the impact of papers produced by Kemin Yan. 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 Kemin Yan. The network helps show where Kemin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kemin Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2018 | 33 | |
| 3 | 2018 | 32 | |
| 4 | 2017 | 29 | |
| 5 | 2020 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2019 | 26 | |
| 8 | 2024 | 22 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2022 | 8 |
About Kemin Yan
Kemin Yan is a scholar working on Physiology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 34 papers that have together received 425 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Cardiovascular Disease and Adiposity (3 papers), Dietary Effects on Health (3 papers), Sunflower and Safflower Cultivation (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Chromatography in Natural Products (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (79 citations), Physiology (105 citations), Analytical Chemistry (32 citations), Geriatrics and Gerontology (8 citations) and Epidemiology (77 citations). Kemin Yan has collaborated with scholars based in China and United States. Frequent co-authors include Hui Pan, Fengying Gong, Linjie Wang, Hongbo Yang, Huijuan Zhu, Meijuan Liu, Naishi Li, Huijuan Zhu, Guole Lin and Jia Sun. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Physiology, Frontiers in Pharmacology, Adipocyte and Nutrition Metabolism and Cardiovascular Diseases.
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.