Mi‐Na Kweon
- Immunology top 1%
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Hiroshi KiyonoSun‐Young ChangJerry R. McGheeKohtaro FujihashiHyun‐Jeong KoMasafumi YamamotoIchiro TakahashiYeji Kim
- Topics
- Immune Cell Function and Interaction (39 papers)T-cell and B-cell Immunology (28 papers)Immune Response and Inflammation (26 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Mi‐Na Kweon
98 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 2.1k
- Molecular Biology 1.0k
- Infectious Diseases 592
- Epidemiology 506
- Physiology 421
Countries citing papers authored by Mi‐Na Kweon
This map shows the geographic impact of Mi‐Na Kweon'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 Mi‐Na Kweon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi‐Na Kweon more than expected).
Fields of papers citing papers by Mi‐Na Kweon
This network shows the impact of papers produced by Mi‐Na Kweon. 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 Mi‐Na Kweon. The network helps show where Mi‐Na Kweon may publish in the future.
Co-authorship network of co-authors of Mi‐Na Kweon
This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Na Kweon. A scholar is included among the top collaborators of Mi‐Na Kweon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mi‐Na Kweon. Mi‐Na Kweon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Fecal microbiota transplantation improves anti-PD-1 inhibitor efficacy in unresectable or metastatic solid cancers refractory to anti-PD-1 inhibitorbreakdown → | 81 |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | Mucin degrader Akkermansia muciniphila accelerates intestinal stem cell-mediated epithelial developmentbreakdown → | 210 |
| 7 | 25 | |
| 8 | 12 | |
| 9 | 71 | |
| 10 | 94 | |
| 11 | 80 | |
| 12 | 86 | |
| 13 | 8 | |
| 14 | 77 | |
| 15 | 32 | |
| 16 | 60 | |
| 17 | 44 | |
| 18 | 69 | |
| 19 | 78 | |
| 20 | 122 |
About Mi‐Na Kweon
Mi‐Na Kweon is a scholar working on Immunology, Endocrinology and Gastroenterology, having authored 98 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (28 papers) and Immune Response and Inflammation (26 papers). The work is most often cited by research in Immunology (2.1k citations), Endocrinology (378 citations) and Immunology and Allergy (233 citations). Mi‐Na Kweon has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hiroshi Kiyono, Sun‐Young Chang, Jerry R. McGhee, Kohtaro Fujihashi, Hyun‐Jeong Ko, Masafumi Yamamoto, Ichiro Takahashi, Yeji Kim, Yong‐Soo Lee and Seungil Kim. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.