Seunga Choi

570 citations
26 papers · 475 · h-index 15

Impact in

    • Tuberculosis Research and Epidemiology
    • interferon and immune responses
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses
    • Immune responses and vaccinations
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 6
    • interferon and immune responses 6
    • Immune Response and Inflammation 5
    • Tuberculosis Research and Epidemiology 16

Seunga Choi

26 papers receiving 470 citations

Peers

Seunga Choi
Comparison fields: 5 of 66
  • Infectious Diseases 194
  • Immunology 180
  • Epidemiology 124
  • Molecular Biology 199
  • Cancer Research 39
Replace Mahesh Kathania with:
Mahesh Kathania United States
Inna Ricardo-Lax United States
Michael D. Stutz Australia
Jhen Tsang United Kingdom
Tasleem Samji United States
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Naphat Chantaravisoot Thailand
Lingxia Chen China
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Citations per field
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Mahesh Kathania · 1×
Citations per year

Countries citing papers authored by Seunga Choi

Since Specialization
Citations

This map shows the geographic impact of Seunga Choi'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 Seunga Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunga Choi more than expected).

Fields of papers citing papers by Seunga Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seunga Choi. 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 Seunga Choi. The network helps show where Seunga Choi may publish in the future.

Co-authors

The 25 scholars most cited alongside Seunga Choi, 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 Seunga Choi Line = papers co-authored together Seunga Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201552
2 201741
3 200738
4 202029
5 201926
6 201625
7 200923
8 201620
9 201420
10 201819
11 201218
12 201817
13 202017
14 202115
15 201614
16 201914
17 202014
18 202213
19 201912
20 202111

About Seunga Choi

Seunga Choi is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Cancer Research, having authored 26 papers that have together received 475 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (7 papers), Immunotherapy and Immune Responses (6 papers), interferon and immune responses (6 papers), Immune Response and Inflammation (5 papers), vaccines and immunoinformatics approaches (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Infectious Diseases (194 citations), Immunology (180 citations), Epidemiology (124 citations), Molecular Biology (199 citations) and Cancer Research (39 citations). Seunga Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hwa‐Jung Kim, Han‐Gyu Choi, Yong Woo Back, Jaerang Rho, Eui‐Soon Park, Jungeun Yu, Yongwon Choi, Kang-In Lee, Ji‐Yeon Yu and Chul Hee Choi. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Cellular Immunology, PLoS ONE and Vaccines.

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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