Sunmi Han
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Cancer-related gene regulation
- 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
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- NF-κB Signaling Pathways 2
- Co-authors
- David N. Ciccone (1 shared paper)Paul J. Utz (1 shared paper)Tatiana G. Kutateladze (2 shared papers)Peggie Cheung (1 shared paper)Marjorie A. Oettinger (2 shared papers)Yang Shi (1 shared paper)Dmitri Ivanov (1 shared paper)Karen S. Champagne (2 shared papers)
- Journals
- Biologicals (1 paper)Annals of Laboratory Medicine (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)The FASEB Journal (1 paper)Journal of Photochemistry and Photobiology B Biology (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Sunmi Han
15 papers receiving 634 citations
Peers
Comparison fields: 5 of 63
- Immunology 226
- Molecular Biology 418
- Hematology 47
- Genetics 30
- Public Health, Environmental and Occupational Health 67
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 | 383 | |
| 2 | 2000 | 145 | |
| 3 | 2001 | 33 | |
| 4 | 2001 | 32 | |
| 5 | 2018 | 17 | |
| 6 | 2022 | 9 | |
| 7 | 2013 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2008 | 4 | |
| 10 | 2013 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2016 | 2 | |
| 13 | 2008 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2014 | 0 |
About Sunmi Han
Sunmi Han is a scholar working on Immunology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Immunology and Allergy, having authored 16 papers that have together received 646 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (2 papers), NF-κB Signaling Pathways (2 papers), Photodynamic Therapy Research Studies (2 papers), Chromatin Remodeling and Cancer (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Immunology (226 citations), Molecular Biology (418 citations), Hematology (47 citations), Genetics (30 citations) and Public Health, Environmental and Occupational Health (67 citations). Sunmi Han has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include David N. Ciccone, Paul J. Utz, Tatiana G. Kutateladze, Peggie Cheung, Marjorie A. Oettinger, Yang Shi, Dmitri Ivanov, Karen S. Champagne, Kay L. Walter and Wei Yang. Their work appears in journals such as Biologicals, Annals of Laboratory Medicine, Clinical Chemistry and Laboratory Medicine (CCLM), The FASEB Journal and Journal of Photochemistry and Photobiology B Biology.
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.