Jae‐Ouk Kim

1.5k citations
38 papers · 719 · h-index 17

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
    • Escherichia coli research studies

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 6
    • SARS-CoV-2 and COVID-19 Research 9
    • Viral gastroenteritis research and epidemiology 6

Jae‐Ouk Kim

38 papers receiving 712 citations

Peers

Jae‐Ouk Kim
Comparison fields: 5 of 84
  • Immunology 352
  • Endocrinology 66
  • Infectious Diseases 186
  • Developmental Neuroscience 21
  • Animal Science and Zoology 38
Replace Deborah L. Novicki with:
Deborah L. Novicki United States
M. Morris-Downes Ireland
Wesley Wong United States
Hye‐Ran Cha South Korea
Dieter Demon Belgium
Virginie Vasseur France
Harpreet Vohra India
Lorna Edwards United Kingdom
Vincent van Laak Germany
Stefanie Deppenmeier Germany
Jae‐Ouk Kim relative to Deborah L. Novicki United States Deborah L. Novicki's profile →
Citations per field
00.5×3.1×
Deborah L. Novicki · 1×
Citations per year

Countries citing papers authored by Jae‐Ouk Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jae‐Ouk Kim Line = papers co-authored together Jae‐Ouk Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 200455
3 200348
4 201342
5 201540
6 202036
7 200033
8 201724
9 202223
10 201822
11 200321
12 201720
13 201519
14 201217
15 201716
16 200216
17 201516
18 202313
19 201912
20 202411

About Jae‐Ouk Kim

Jae‐Ouk Kim is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Endocrinology and Epidemiology, having authored 38 papers that have together received 719 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Escherichia coli research studies (6 papers), T-cell and B-cell Immunology (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Immunotherapy and Immune Responses (6 papers), Respiratory viral infections research (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Immunology (352 citations), Endocrinology (66 citations), Infectious Diseases (186 citations), Developmental Neuroscience (21 citations) and Animal Science and Zoology (38 citations). Jae‐Ouk Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Chang‐Yuil Kang, Hye‐Ran Cha, Chang‐Hoon Kim, Mi–Na Kweon, Sun-Young Chang, Jin‐Young Yang, Jae‐Hoon Chang, Semi Rho, Manki Song and Sanghee Kim. Their work appears in journals such as PLoS ONE, Vaccines, Proceedings of the National Academy of Sciences, Vaccine and Journal of Allergy and Clinical Immunology.

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.

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