Chong Kim
Impact in
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- CAR-T cell therapy research
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- Complement system in diseases
- Immune Cell Function and Interaction
Papers in
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- Photosynthetic Processes and Mechanisms 8
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- Pain Management and Treatment 11
- Co-authors
- Mark J. Osborn (1 shared paper)Jakub Tolar (1 shared paper)Ramaswamy H. Sarma (3 shared papers)Tsoo E. King (7 shared papers)Jonathan D. Campbell (5 shared papers)Henry Tedeschi (1 shared paper)John C. Salerno (1 shared paper)Joyce Johnson Diwan (1 shared paper)
- Journals
- Pain Physician (4 papers)American Journal of Physical Medicine & Rehabilitation (3 papers)Oncology Reports (3 papers)Biochemical and Biophysical Research Communications (3 papers)Vox Sanguinis (3 papers)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Chong Kim
65 papers receiving 919 citations
Peers
Comparison fields: 5 of 121
- Oncology 202
- Immunology 141
- Hematology 72
- Anesthesiology and Pain Medicine 33
- Molecular Biology 386
Countries citing papers authored by Chong Kim
This map shows the geographic impact of Chong 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 Chong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Kim more than expected).
Fields of papers citing papers by Chong Kim
This network shows the impact of papers produced by Chong 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 Chong Kim. The network helps show where Chong Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 172 | |
| 2 | 1980 | 63 | |
| 3 | 1987 | 63 | |
| 4 | 1977 | 59 | |
| 5 | 2018 | 51 | |
| 6 | 2015 | 48 | |
| 7 | 2018 | 47 | |
| 8 | 2016 | 39 | |
| 9 | 2018 | 31 | |
| 10 | 2018 | 31 | |
| 11 | 1981 | 29 | |
| 12 | 1978 | 27 | |
| 13 | 2023 | 22 | |
| 14 | 1977 | 20 | |
| 15 | 2023 | 19 | |
| 16 | 2012 | 14 | |
| 17 | 2017 | 12 | |
| 18 | 2004 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2023 | 11 |
About Chong Kim
Chong Kim is a scholar working on Molecular Biology, Anesthesiology and Pain Medicine, Surgery, Public Health, Environmental and Occupational Health and Pharmacology, having authored 74 papers that have together received 958 indexed citations. Recurring topics across this work include Pain Management and Treatment (11 papers), Photosynthetic Processes and Mechanisms (8 papers), Musculoskeletal pain and rehabilitation (7 papers), Hepatitis B Virus Studies (4 papers), Opioid Use Disorder Treatment (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Hepatitis C virus research (4 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Oncology (202 citations), Immunology (141 citations), Hematology (72 citations), Anesthesiology and Pain Medicine (33 citations) and Molecular Biology (386 citations). Chong Kim has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Mark J. Osborn, Jakub Tolar, Ramaswamy H. Sarma, Tsoo E. King, Jonathan D. Campbell, Henry Tedeschi, John C. Salerno, Joyce Johnson Diwan, Sadao Wakabayashi and K Kawai. Their work appears in journals such as Pain Physician, American Journal of Physical Medicine & Rehabilitation, Oncology Reports, Biochemical and Biophysical Research Communications and Vox Sanguinis.
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.