Keun Il Kim
- Immunology top 1%
- interferon and immune responses 15
- Immunotherapy and Immune Responses 7
- Cancer Research top 2%
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 14
- Peptidase Inhibition and Analysis 7
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 15
- Epigenetics and DNA Methylation 12
- Cancer-related gene regulation 10
- Epidemiology top 5%
- Autophagy in Disease and Therapy 10
- Co-authors
- Sung Hee BaekDong‐Er ZhangOxana A. MalakhovaMichael P. MalakhovKenneth J. RitchieMing YanChin Ha ChungJong‐Seok Lim
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Keun Il Kim
85 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 114
- Immunology 1.9k
- Cancer Research 800
- Oncology 1.2k
- Molecular Biology 3.1k
- Epidemiology 836
Countries citing papers authored by Keun Il Kim
This map shows the geographic impact of Keun Il 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 Keun Il Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keun Il Kim more than expected).
Fields of papers citing papers by Keun Il Kim
This network shows the impact of papers produced by Keun Il 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 Keun Il Kim. The network helps show where Keun Il Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keun Il 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 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 44 | |
| 4 | 2021 | 64 | |
| 5 | 2020 | 1 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 5 | |
| 8 | 2014 | 13 | |
| 9 | 2012 | 188 | |
| 10 | 2012 | 67 | |
| 11 | 2010 | 146 | |
| 12 | 2009 | 117 | |
| 13 | 2006 | 101 | |
| 14 | 2006 | 64 | |
| 15 | 2005 | 77 | |
| 16 | 2005 | 18 | |
| 17 | 2005 | 72 | |
| 18 | 2003 | 219 | |
| 19 | 2003 | 61 | |
| 20 | 2001 | 291 |
About Keun Il Kim
Keun Il Kim is a scholar working on Immunology, Oncology and Molecular Biology, having authored 86 papers that have together received 5.2k indexed citations. Recurring topics across this work include interferon and immune responses (15 papers), Ubiquitin and proteasome pathways (15 papers), Cytokine Signaling Pathways and Interactions (14 papers), Epigenetics and DNA Methylation (12 papers), Cancer-related gene regulation (10 papers), Autophagy in Disease and Therapy (10 papers), Peptidase Inhibition and Analysis (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Immunology (1.9k citations), Cancer Research (800 citations) and Oncology (1.2k citations). Keun Il Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sung Hee Baek, Dong‐Er Zhang, Oxana A. Malakhova, Michael P. Malakhov, Kenneth J. Ritchie, Ming Yan, Chin Ha Chung, Jong‐Seok Lim, Young Yang and Ji Min Lee. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.