James Kim
Impact in
- Molecular Biology top 2%
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Ion channel regulation and function
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Virology top 5%
Papers in
-
- Hedgehog Signaling Pathway Studies 14
- RNA and protein synthesis mechanisms 6
- RNA Interference and Gene Delivery 5
- Ion channel regulation and function 5
- Genetics 14
- Genetic and rare skin diseases. 4
- Co-authors
- Philip A. Beachy (10 shared papers)Geoffrey S. Pitt (5 shared papers)Dale R. Gardner (2 shared papers)John J. Lee (2 shared papers)Jean Y. Tang (5 shared papers)Ervin H. Epstein (4 shared papers)Richard W. Tsien (1 shared paper)Andy Hudmon (1 shared paper)
- Journals
- Canadian Journal of Diabetes (7 papers)Journal of Biological Chemistry (4 papers)Cancer Research (3 papers)Molecular Therapy (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
James Kim
76 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.9k
- Virology 134
- Genetics 286
- Cellular and Molecular Neuroscience 418
- Cardiology and Cardiovascular Medicine 462
Countries citing papers authored by James Kim
This map shows the geographic impact of James Kim'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 James Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Kim more than expected).
Fields of papers citing papers by James Kim
This network shows the impact of papers produced by James Kim. 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 James Kim. The network helps show where James Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside James Kim, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 434 | |
| 2 | 2011 | 364 | |
| 3 | 2005 | 281 | |
| 4 | 2013 | 278 | |
| 5 | 2010 | 267 | |
| 6 | 2011 | 226 | |
| 7 | 2014 | 217 | |
| 8 | 2005 | 210 | |
| 9 | 2019 | 150 | |
| 10 | 2013 | 146 | |
| 11 | 2004 | 143 | |
| 12 | 2003 | 139 | |
| 13 | 2004 | 136 | |
| 14 | 2007 | 88 | |
| 15 | 2016 | 76 | |
| 16 | 2007 | 74 | |
| 17 | 2018 | 69 | |
| 18 | 2004 | 60 | |
| 19 | 2007 | 54 | |
| 20 | 2016 | 54 |
About James Kim
James Kim is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 81 papers that have together received 4.3k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (14 papers), RNA and protein synthesis mechanisms (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), RNA Interference and Gene Delivery (5 papers), Ion channel regulation and function (5 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers) and Genetic and rare skin diseases. (4 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Virology (134 citations), Genetics (286 citations), Cellular and Molecular Neuroscience (418 citations) and Cardiology and Cardiovascular Medicine (462 citations). James Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Philip A. Beachy, Geoffrey S. Pitt, Dale R. Gardner, John J. Lee, Jean Y. Tang, Ervin H. Epstein, Richard W. Tsien, Andy Hudmon, Howard Schulman and Nini Guo. Their work appears in journals such as Canadian Journal of Diabetes, Journal of Biological Chemistry, Cancer Research, Molecular Therapy and Proceedings of the National Academy of 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.