Kun Chae
Impact in
- Health, Toxicology and Mutagenesis top 0.5%
- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
- Environmental Toxicology and Ecotoxicology
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Toxic Organic Pollutants Impact 15
- Effects and risks of endocrine disrupting chemicals 4
-
- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- James D. McKinney (14 shared papers)Kenneth Steven Korach (11 shared papers)Douglas Β. Tully (1 shared paper)Michael D. Shelby (1 shared paper)Vicki L. Davis (1 shared paper)Retha R. Newbold (1 shared paper)J A McLachlan (1 shared paper)John A. Moore (2 shared papers)
- Journals
- Environmental Health Perspectives (4 papers)Toxicology and Applied Pharmacology (4 papers)Journal of Medicinal Chemistry (4 papers)Molecular Pharmacology (2 papers)Journal of Pharmaceutical Sciences (2 papers)
- Partner nations
- United States
In The Last Decade
Kun Chae
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Health, Toxicology and Mutagenesis 1.3k
- Physiology 54
- Biochemistry 71
- Computational Theory and Mathematics 182
- Genetics 250
Countries citing papers authored by Kun Chae
This map shows the geographic impact of Kun Chae'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 Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chae more than expected).
Fields of papers citing papers by Kun Chae
This network shows the impact of papers produced by Kun Chae. 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 Chae. The network helps show where Kun Chae may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Chae, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 395 | |
| 2 | 1988 | 379 | |
| 3 | 1996 | 180 | |
| 4 | 1976 | 138 | |
| 5 | 1985 | 94 | |
| 6 | 1985 | 66 | |
| 7 | 1985 | 63 | |
| 8 | 1987 | 59 | |
| 9 | 1979 | 52 | |
| 10 | 1998 | 49 | |
| 11 | 1989 | 45 | |
| 12 | 1991 | 37 | |
| 13 | 1973 | 35 | |
| 14 | 1981 | 31 | |
| 15 | 1998 | 30 | |
| 16 | 1973 | 27 | |
| 17 | 1977 | 25 | |
| 18 | 1984 | 21 | |
| 19 | 1979 | 18 | |
| 20 | 1980 | 17 |
About Kun Chae
Kun Chae is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology, Genetics, Biochemistry and Spectroscopy, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (15 papers), Estrogen and related hormone effects (7 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Computational Drug Discovery Methods (2 papers), Immunotoxicology and immune responses (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Physiology (54 citations), Biochemistry (71 citations), Computational Theory and Mathematics (182 citations) and Genetics (250 citations). Kun Chae has collaborated with scholars based in United States. Frequent co-authors include James D. McKinney, Kenneth Steven Korach, Douglas Β. Tully, Michael D. Shelby, Vicki L. Davis, Retha R. Newbold, J A McLachlan, John A. Moore, Brahma N. Gupta and Stuart J. Oatley. Their work appears in journals such as Environmental Health Perspectives, Toxicology and Applied Pharmacology, Journal of Medicinal Chemistry, Molecular Pharmacology and Journal of Pharmaceutical Sciences.
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.