Chun Kim
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
- Immunology 16
- interferon and immune responses 6
- Immune Response and Inflammation 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
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- Antimicrobial Peptides and Activities 3
- Co-authors
- Manolis PasparakisApostolos PolykratisJuan LinSnehlata KumariLaurens WachsmuthTrieu-My VanMichelle A. KelliherNicole Hermance
- Journals
- Anticancer Research (3 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (2 papers)Molecules and Cells (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Chun Kim
35 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 97
- Immunology 935
- Microbiology 136
- Cancer Research 326
- Molecular Biology 1.5k
- Oncology 257
Countries citing papers authored by Chun Kim
This map shows the geographic impact of Chun 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 Chun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Kim more than expected).
Fields of papers citing papers by Chun Kim
This network shows the impact of papers produced by Chun 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 Chun Kim. The network helps show where Chun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 25 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 4 | |
| 7 | 2018 | 27 | |
| 8 | 2017 | 239 | |
| 9 | 2017 | 20 | |
| 10 | 2014 | 259 | |
| 11 | 2014 | 46 | |
| 12 | Microarray validation of molecular and cellular signaling in Homarus americanus and Penaeus monodon | 2012 | 3 |
| 13 | 2008 | 233 | |
| 14 | 2007 | 12 | |
| 15 | 2006 | 29 | |
| 16 | 2005 | 115 | |
| 17 | 2004 | 52 | |
| 18 | 2002 | 10 | |
| 19 | 2000 | 9 | |
| 20 | 1991 | 16 |
About Chun Kim
Chun Kim is a scholar working on Immunology, Microbiology, Molecular Biology, Cancer Research and Oncology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (3 papers), RNA Research and Splicing (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Neurobiology and Insect Physiology Research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (935 citations), Microbiology (136 citations), Cancer Research (326 citations), Molecular Biology (1.5k citations) and Oncology (257 citations). Chun Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Manolis Pasparakis, Apostolos Polykratis, Juan Lin, Snehlata Kumari, Laurens Wachsmuth, Trieu-My Van, Michelle A. Kelliher, Nicole Hermance, Matija Zelic and Stefan H. E. Kaufmann. Their work appears in journals such as Anticancer Research, Nature, Proceedings of the National Academy of Sciences, Molecular Cell and Molecules and Cells.
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.