Kun Zhang
Impact in
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- Reproductive Biology and Fertility
- Animal Science and Zoology top 5%
Papers in
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- Epigenetics and DNA Methylation 12
- Genomics and Chromatin Dynamics 10
- Renal and related cancers 10
- Pluripotent Stem Cells Research 10
- CRISPR and Genetic Engineering 9
- RNA Research and Splicing 7
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- Reproductive Biology and Fertility 27
- Co-authors
- George W. Smith (8 shared papers)Alan D. Ealy (7 shared papers)Jesse Mager (7 shared papers)Peter J. Hansen (3 shared papers)Shaohua Wang (16 shared papers)Lei Luo (11 shared papers)Zhenrong Yu (1 shared paper)Wei Zhou (1 shared paper)
- Journals
- Biology of Reproduction (11 papers)Reproduction Fertility and Development (4 papers)Scientific Reports (3 papers)Reproduction (3 papers)The FASEB Journal (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Kun Zhang
98 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 151
- Public Health, Environmental and Occupational Health 399
- Animal Science and Zoology 145
- Molecular Biology 862
- Reproductive Medicine 99
- Genetics 306
Countries citing papers authored by Kun Zhang
This map shows the geographic impact of Kun Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Zhang more than expected).
Fields of papers citing papers by Kun Zhang
This network shows the impact of papers produced by Kun Zhang. 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 Zhang. The network helps show where Kun Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Zhang, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 104 | |
| 2 | 2010 | 83 | |
| 3 | 2015 | 75 | |
| 4 | 2015 | 73 | |
| 5 | 2020 | 61 | |
| 6 | 2020 | 56 | |
| 7 | 2011 | 55 | |
| 8 | 2013 | 55 | |
| 9 | 2017 | 49 | |
| 10 | 2023 | 42 | |
| 11 | 2015 | 42 | |
| 12 | 2015 | 40 | |
| 13 | 2019 | 38 | |
| 14 | 2017 | 36 | |
| 15 | 2015 | 35 | |
| 16 | 2007 | 35 | |
| 17 | 2013 | 34 | |
| 18 | 2020 | 34 | |
| 19 | 2020 | 33 | |
| 20 | 2020 | 31 |
About Kun Zhang
Kun Zhang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Animal Science and Zoology and Immunology, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (27 papers), Animal Genetics and Reproduction (14 papers), Epigenetics and DNA Methylation (12 papers), Genomics and Chromatin Dynamics (10 papers), Renal and related cancers (10 papers), Pluripotent Stem Cells Research (10 papers), CRISPR and Genetic Engineering (9 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (399 citations), Animal Science and Zoology (145 citations), Molecular Biology (862 citations), Reproductive Medicine (99 citations) and Genetics (306 citations). Kun Zhang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include George W. Smith, Alan D. Ealy, Jesse Mager, Peter J. Hansen, Shaohua Wang, Lei Luo, Zhenrong Yu, Wei Zhou, Joseph K. Folger and Huanan Wang. Their work appears in journals such as Biology of Reproduction, Reproduction Fertility and Development, Scientific Reports, Reproduction and The FASEB Journal.
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.