Sunglim Cho
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Structural Biology top 10%
Papers in
- Immunology 18
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 6
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- RNA Interference and Gene Delivery 4
- Co-authors
- Li‐Fan Lu (15 shared papers)Kwangseog Ahn (8 shared papers)Kwangmin Cho (6 shared papers)Ling-Li Lin (10 shared papers)Boyoun Park (4 shared papers)Alexander Y. Rudensky (5 shared papers)Aly A. Khan (7 shared papers)Sungwook Lee (3 shared papers)
- Journals
- The Journal of Immunology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Cell Reports (2 papers)PLoS Pathogens (2 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Sunglim Cho
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Immunology 542
- Structural Biology 26
- Cancer Research 252
- Biophysics 47
- Cell Biology 134
Countries citing papers authored by Sunglim Cho
This map shows the geographic impact of Sunglim Cho'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 Sunglim Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunglim Cho more than expected).
Fields of papers citing papers by Sunglim Cho
This network shows the impact of papers produced by Sunglim Cho. 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 Sunglim Cho. The network helps show where Sunglim Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunglim Cho, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 144 | |
| 2 | 2006 | 131 | |
| 3 | 2016 | 110 | |
| 4 | 2019 | 83 | |
| 5 | 2017 | 82 | |
| 6 | 2019 | 81 | |
| 7 | 2016 | 80 | |
| 8 | 2018 | 57 | |
| 9 | 2009 | 53 | |
| 10 | 2017 | 48 | |
| 11 | 2008 | 26 | |
| 12 | 2023 | 22 | |
| 13 | 2015 | 21 | |
| 14 | 2011 | 18 | |
| 15 | 2010 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2005 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2012 | 9 |
About Sunglim Cho
Sunglim Cho is a scholar working on Immunology, Molecular Biology, Epidemiology, Cancer Research and Cell Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (9 papers), Cytomegalovirus and herpesvirus research (8 papers), MicroRNA in disease regulation (7 papers), Immunotherapy and Immune Responses (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), RNA Interference and Gene Delivery (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Immunology (542 citations), Structural Biology (26 citations), Cancer Research (252 citations), Biophysics (47 citations) and Cell Biology (134 citations). Sunglim Cho has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Li‐Fan Lu, Kwangseog Ahn, Kwangmin Cho, Ling-Li Lin, Boyoun Park, Alexander Y. Rudensky, Aly A. Khan, Sungwook Lee, Eunkyung Kim and Stanley R. Riddell. Their work appears in journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications, Cell Reports, PLoS Pathogens 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.