Jae‐Ouk Kim
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- Viral gastroenteritis research and epidemiology 6
- Immunology 15
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 5
- Co-authors
- Chang‐Yuil Kang (13 shared papers)Hye‐Ran Cha (2 shared papers)Chang‐Hoon Kim (1 shared paper)Jae‐Hoon Chang (1 shared paper)Sun-Young Chang (1 shared paper)Mi–Na Kweon (1 shared paper)Jin‐Young Yang (1 shared paper)Semi Rho (9 shared papers)
- Journals
- PLoS ONE (3 papers)Vaccines (3 papers)Proceedings of the National Academy of Sciences (3 papers)Vaccine (2 papers)Immunology Letters (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Jae‐Ouk Kim
38 papers receiving 749 citations
Peers
Comparison fields: 5 of 81
- Immunology 346
- Endocrinology 68
- Infectious Diseases 179
- Developmental Neuroscience 22
- Immunology and Allergy 22
Countries citing papers authored by Jae‐Ouk Kim
This map shows the geographic impact of Jae‐Ouk 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 Jae‐Ouk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Ouk Kim more than expected).
Fields of papers citing papers by Jae‐Ouk Kim
This network shows the impact of papers produced by Jae‐Ouk 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 Jae‐Ouk Kim. The network helps show where Jae‐Ouk Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Ouk 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 127 | |
| 2 | 2004 | 58 | |
| 3 | 2003 | 49 | |
| 4 | 2013 | 44 | |
| 5 | 2015 | 40 | |
| 6 | 2000 | 37 | |
| 7 | 2020 | 35 | |
| 8 | 2017 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2017 | 22 | |
| 13 | 2003 | 21 | |
| 14 | 2012 | 20 | |
| 15 | 2002 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2023 | 14 | |
| 19 | 2024 | 12 | |
| 20 | 2019 | 12 |
About Jae‐Ouk Kim
Jae‐Ouk Kim is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Endocrinology and Epidemiology, having authored 39 papers that have together received 759 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Immunotherapy and Immune Responses (5 papers), Respiratory viral infections research (5 papers), Escherichia coli research studies (5 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Immunology (346 citations), Endocrinology (68 citations), Infectious Diseases (179 citations), Developmental Neuroscience (22 citations) and Immunology and Allergy (22 citations). Jae‐Ouk Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Chang‐Yuil Kang, Hye‐Ran Cha, Chang‐Hoon Kim, Jae‐Hoon Chang, Sun-Young Chang, Mi–Na Kweon, Jin‐Young Yang, Semi Rho, Manki Song and Changwan Hong. Their work appears in journals such as PLoS ONE, Vaccines, Proceedings of the National Academy of Sciences, Vaccine and Immunology Letters.
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.