Wooseob Kim
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Michael K. Klebert (2 shared papers)Alem Haile (2 shared papers)Ali H. Ellebedy (2 shared papers)Jackson S. Turner (2 shared papers)Rachel M. Presti (3 shared papers)Aaron J. Schmitz (2 shared papers)Charles W. Goss (1 shared paper)Lena Hansen (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cell Reports (1 paper)Immunology and Cell Biology (1 paper)Nature (1 paper)Nature Immunology (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Wooseob Kim
12 papers receiving 399 citations
Wooseob Kim's Hit Papers
Peers
Comparison fields: 5 of 67
- Infectious Diseases 254
- Modeling and Simulation 42
- Immunology 100
- Health 26
- Neurology 41
Countries citing papers authored by Wooseob Kim
This map shows the geographic impact of Wooseob 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 Wooseob Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wooseob Kim more than expected).
Fields of papers citing papers by Wooseob Kim
This network shows the impact of papers produced by Wooseob 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 Wooseob Kim. The network helps show where Wooseob Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Wooseob 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 | SARS-CoV-2 infection induces long-lived bone marrow plasma cells in humans Hit paper breakdown → | 2021 | 312 |
| 2 | 2017 | 39 | |
| 3 | 2019 | 23 | |
| 4 | 2024 | 11 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 4 | |
| 7 | 2025 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 |
About Wooseob Kim
Wooseob Kim is a scholar working on Immunology, Infectious Diseases, Radiation, Hematology and Molecular Biology, having authored 12 papers that have together received 406 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Nuclear Physics and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), NF-κB Signaling Pathways (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Infectious Diseases (254 citations), Modeling and Simulation (42 citations), Immunology (100 citations), Health (26 citations) and Neurology (41 citations). Wooseob Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Michael K. Klebert, Alem Haile, Ali H. Ellebedy, Jackson S. Turner, Rachel M. Presti, Aaron J. Schmitz, Charles W. Goss, Lena Hansen, Adriana M. Rauseo and Elizaveta Kalaidina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, Immunology and Cell Biology, Nature and Nature 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.