Sunmi Han
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- DNA Repair Mechanisms
- Chromatin Remodeling and Cancer
Papers in ⓘ
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- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
-
- NF-κB Signaling Pathways 2
- Co-authors
- Santiago Ramón‐Maiques (3 shared papers)Mercedes Gallardo (2 shared papers)Wei Yang (3 shared papers)Alex Kuo (3 shared papers)Or Gozani (3 shared papers)Marjorie A. Oettinger (3 shared papers)Karen S. Champagne (2 shared papers)Tatiana G. Kutateladze (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Biologicals (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Archives of Dermatological Research (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Sunmi Han
14 papers receiving 608 citations
Peers
Comparison fields: 5 of 65
- Immunology 218
- Molecular Biology 419
- Hematology 49
- Genetics 29
- Public Health, Environmental and Occupational Health 64
Countries citing papers authored by Sunmi Han
This map shows the geographic impact of Sunmi Han'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 Sunmi Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmi Han more than expected).
Fields of papers citing papers by Sunmi Han
This network shows the impact of papers produced by Sunmi Han. 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 Sunmi Han. The network helps show where Sunmi Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunmi Han, 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 | 2007 | 363 | |
| 2 | 2000 | 145 | |
| 3 | 2001 | 31 | |
| 4 | 2001 | 30 | |
| 5 | 2018 | 13 | |
| 6 | 2007 | 10 | |
| 7 | 2022 | 4 | |
| 8 | 2013 | 4 | |
| 9 | 2008 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2013 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2008 | 2 | |
| 15 | 2024 | 0 |
About Sunmi Han
Sunmi Han is a scholar working on Immunology, Cancer Research, Biophysics, Immunology and Allergy and Dermatology, having authored 15 papers that have together received 617 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (2 papers), Molecular Biology Techniques and Applications (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Chromatin Remodeling and Cancer (2 papers), NF-κB Signaling Pathways (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (218 citations), Molecular Biology (419 citations), Hematology (49 citations), Genetics (29 citations) and Public Health, Environmental and Occupational Health (64 citations). Sunmi Han has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Santiago Ramón‐Maiques, Mercedes Gallardo, Wei Yang, Alex Kuo, Or Gozani, Marjorie A. Oettinger, Karen S. Champagne, Tatiana G. Kutateladze, Peggie Cheung and David Ciccone. Their work appears in journals such as The Journal of Immunology, Biologicals, Clinical Chemistry and Laboratory Medicine (CCLM), Archives of Dermatological Research and BMC Bioinformatics.
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.