Sunmi Han

794 citations
17 papers · 655 · h-index 7

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • Cancer-related gene regulation

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunodeficiency and Autoimmune Disorders 3
    • Chromatin Remodeling and Cancer 2
    • DNA Repair Mechanisms 1
    • Glycosylation and Glycoproteins Research 1

Sunmi Han

14 papers receiving 643 citations

Peers

Sunmi Han
Comparison fields: 5 of 63
  • Immunology 231
  • Molecular Biology 432
  • Hematology 47
  • Genetics 29
  • Public Health, Environmental and Occupational Health 64
Replace Lesley A. Mathews Griner with:
Lesley A. Mathews Griner United States
Akshay K. Ahuja Switzerland
Xavier H. Mascle Canada
Nourdine Bah United Kingdom
Chiel Maas Netherlands
Hilal Arnouk United States
Jonathan H. Ellis United Kingdom
José M. Ligos Spain
Milena Vuica‐Ross United States
Carina Olsson Switzerland
Sunmi Han relative to Lesley A. Mathews Griner United States Lesley A. Mathews Griner's profile →
Citations per field
00.5×5.8×
Lesley A. Mathews Griner · 1×
Citations per year

Countries citing papers authored by Sunmi Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sunmi Han Line = papers co-authored together Sunmi Han links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007385
2 2000146
3 200133
4 200131
5 201816
6 200711
7 20229
8 20136
9 20194
10 20084
11 20183
12 20133
13 20082
14 20162
15 20240
16 20250
17 20140

About Sunmi Han

Sunmi Han is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Biomedical Engineering, having authored 17 papers that have together received 655 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Photodynamic Therapy Research Studies (2 papers), NF-κB Signaling Pathways (2 papers), Chromatin Remodeling and Cancer (2 papers), DNA Repair Mechanisms (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (231 citations), Molecular Biology (432 citations), Hematology (47 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 Ethiopia. Frequent co-authors include Marjorie A. Oettinger, Santiago Ramón‐Maiques, Alex Kuo, Wei Yang, Mercedes Gallardo, Or Gozani, Paul J. Utz, Adam G. W. Matthews, Karen S. Champagne and David Ciccone. Their work appears in journals such as The Journal of Immunology, Archives of Dermatological Research, Molecular and Cellular Biology, The FASEB Journal and Annals of Laboratory 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.

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