Kai-Shun Chen
Impact in
- Pathology and Forensic Medicine top 10%
- Vitamin D Research Studies
- Genetics top 10%
- Estrogen and related hormone effects
- Animal Genetics and Reproduction
Papers in
-
- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 2
- Genetics 6
- BRCA gene mutations in cancer 2
- Digestive system and related health 2
- Animal Genetics and Reproduction 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic Associations and Epidemiology 1
- Co-authors
- Hector F. DeLuca (2 shared papers)Michael N. Gould (5 shared papers)Jill D. Haag (4 shared papers)L.A. Shepel (2 shared papers)Shigeki Miyamoto (1 shared paper)Menghsiao Meng (1 shared paper)Wen-Hsiung Liu (1 shared paper)Rong Hu (1 shared paper)
- Journals
- Endocrinology (1 paper)BioTechniques (1 paper)Carcinogenesis (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Kai-Shun Chen
10 papers receiving 827 citations
Peers
Comparison fields: 5 of 80
- Pathology and Forensic Medicine 213
- Genetics 235
- Molecular Biology 554
- Cell Biology 94
- Aging 9
Countries citing papers authored by Kai-Shun Chen
This map shows the geographic impact of Kai-Shun Chen'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 Kai-Shun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Shun Chen more than expected).
Fields of papers citing papers by Kai-Shun Chen
This network shows the impact of papers produced by Kai-Shun Chen. 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 Kai-Shun Chen. The network helps show where Kai-Shun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai-Shun Chen, 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 | 1994 | 278 | |
| 2 | 1995 | 228 | |
| 3 | 2003 | 158 | |
| 4 | 2007 | 48 | |
| 5 | 2005 | 48 | |
| 6 | 1988 | 33 | |
| 7 | 1996 | 20 | |
| 8 | 2002 | 16 | |
| 9 | 1999 | 6 | |
| 10 | 2004 | 6 |
About Kai-Shun Chen
Kai-Shun Chen is a scholar working on Molecular Biology, Genetics, Cell Biology, Organic Chemistry and Pathology and Forensic Medicine, having authored 10 papers that have together received 841 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), BRCA gene mutations in cancer (2 papers), Digestive system and related health (2 papers), CRISPR and Genetic Engineering (2 papers), Biotin and Related Studies (2 papers), Animal Genetics and Reproduction (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (213 citations), Genetics (235 citations), Molecular Biology (554 citations), Cell Biology (94 citations) and Aging (9 citations). Kai-Shun Chen has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Hector F. DeLuca, Michael N. Gould, Jill D. Haag, L.A. Shepel, Shigeki Miyamoto, Menghsiao Meng, Wen-Hsiung Liu, Rong Hu, Yurong Wang and Kwanghee Kim. Their work appears in journals such as Endocrinology, BioTechniques, Carcinogenesis, Proceedings of the National Academy of Sciences and Nature Biotechnology.
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.