Kun Yi
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
-
- Menopause: Health Impacts and Treatments
Papers in
-
- Retinoids in leukemia and cellular processes 2
- Genetics 11
- Estrogen and related hormone effects 10
- Co-authors
- James W. Simpkins (14 shared papers)Shao‐Hua Yang (4 shared papers)James A. Dykens (1 shared paper)Evelyn Perez (4 shared papers)Douglas F. Covey (5 shared papers)Ran Liu (3 shared papers)Peter Koulen (1 shared paper)Wen Yi (1 shared paper)
- Journals
- Endocrinology (3 papers)Brain Research (2 papers)Toxicological Sciences (2 papers)BMC Plant Biology (2 papers)Frontiers in Neuroendocrinology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kun Yi
31 papers receiving 995 citations
Peers
Comparison fields: 5 of 114
- Behavioral Neuroscience 77
- Endocrinology, Diabetes and Metabolism 230
- Genetics 317
- Health, Toxicology and Mutagenesis 134
- Developmental Neuroscience 40
Countries citing papers authored by Kun Yi
This map shows the geographic impact of Kun Yi'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 Kun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yi more than expected).
Fields of papers citing papers by Kun Yi
This network shows the impact of papers produced by Kun Yi. 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 Kun Yi. The network helps show where Kun Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yi, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 154 | |
| 2 | 2004 | 130 | |
| 3 | 2008 | 90 | |
| 4 | 2002 | 57 | |
| 5 | 2018 | 55 | |
| 6 | 2009 | 40 | |
| 7 | 2005 | 36 | |
| 8 | 2007 | 33 | |
| 9 | 2016 | 33 | |
| 10 | 2010 | 32 | |
| 11 | 2014 | 31 | |
| 12 | 2023 | 30 | |
| 13 | 2008 | 29 | |
| 14 | 2010 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2008 | 24 | |
| 17 | 2014 | 24 | |
| 18 | 2015 | 17 | |
| 19 | 2000 | 17 | |
| 20 | 2018 | 16 |
About Kun Yi
Kun Yi is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Seed Germination and Physiology (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Menopause: Health Impacts and Treatments (4 papers), Pesticide Exposure and Toxicity (3 papers), Nuclear Receptors and Signaling (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Behavioral Neuroscience (77 citations), Endocrinology, Diabetes and Metabolism (230 citations), Genetics (317 citations), Health, Toxicology and Mutagenesis (134 citations) and Developmental Neuroscience (40 citations). Kun Yi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James W. Simpkins, Shao‐Hua Yang, James A. Dykens, Evelyn Perez, Douglas F. Covey, Ran Liu, Peter Koulen, Wen Yi, Saumyendra N. Sarkar and Renqi Huang. Their work appears in journals such as Endocrinology, Brain Research, Toxicological Sciences, BMC Plant Biology and Frontiers in Neuroendocrinology.
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.