Key‐Sun Kim
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Protein Structure and Dynamics 6
- Receptor Mechanisms and Signaling 3
-
- Engineering Applied Research 17
- Co-authors
- Ian Clark‐Lewis (2 shared papers)Brian D. Sykes (2 shared papers)Clare Woodward (4 shared papers)Krishnakumar Rajarathnam (1 shared paper)Béatrice Dewald (1 shared paper)Jiang-Hong Gong (1 shared paper)Bernhard Moser (1 shared paper)Marco Baggiolini (1 shared paper)
- Journals
- Protein Science (4 papers)Biochemical and Biophysical Research Communications (3 papers)Current Nanoscience (2 papers)Molecules and Cells (1 paper)Progress in Neurobiology (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Key‐Sun Kim
51 papers receiving 993 citations
Peers
Comparison fields: 5 of 117
- Immunology 289
- Microbiology 77
- Immunology and Allergy 56
- Oncology 248
- Molecular Biology 572
Countries citing papers authored by Key‐Sun Kim
This map shows the geographic impact of Key‐Sun 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 Key‐Sun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Key‐Sun Kim more than expected).
Fields of papers citing papers by Key‐Sun Kim
This network shows the impact of papers produced by Key‐Sun 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 Key‐Sun Kim. The network helps show where Key‐Sun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Key‐Sun 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 303 | |
| 2 | 1993 | 86 | |
| 3 | 2008 | 71 | |
| 4 | 2006 | 61 | |
| 5 | 1991 | 53 | |
| 6 | 2000 | 53 | |
| 7 | 2000 | 46 | |
| 8 | 1993 | 38 | |
| 9 | 2015 | 35 | |
| 10 | 1999 | 31 | |
| 11 | 2004 | 30 | |
| 12 | 1999 | 25 | |
| 13 | 1993 | 24 | |
| 14 | 2017 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2004 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2002 | 10 | |
| 20 | 2011 | 10 |
About Key‐Sun Kim
Key‐Sun Kim is a scholar working on Molecular Biology, Civil and Structural Engineering, Mechanical Engineering, Automotive Engineering and Materials Chemistry, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Engineering Applied Research (17 papers), Protein Structure and Dynamics (6 papers), Mechanical Engineering and Vibrations Research (5 papers), Ergonomics and Musculoskeletal Disorders (4 papers), Vehicle Noise and Vibration Control (4 papers), Enzyme Structure and Function (4 papers), Effects of Vibration on Health (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Immunology (289 citations), Microbiology (77 citations), Immunology and Allergy (56 citations), Oncology (248 citations) and Molecular Biology (572 citations). Key‐Sun Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Ian Clark‐Lewis, Brian D. Sykes, Clare Woodward, Krishnakumar Rajarathnam, Béatrice Dewald, Jiang-Hong Gong, Bernhard Moser, Marco Baggiolini, Yeon Gyu Yu and George I. Makhatadze. Their work appears in journals such as Protein Science, Biochemical and Biophysical Research Communications, Current Nanoscience, Molecules and Cells and Progress in Neurobiology.
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.