Min Kim

1.2k citations
30 papers · 882 · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 11
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • interferon and immune responses 2

Min Kim

25 papers receiving 859 citations

Peers

Min Kim
Comparison fields: 5 of 98
  • Virology 212
  • Immunology 463
  • Infectious Diseases 121
  • Epidemiology 188
  • Cell Biology 65
Replace Christina Guzzo with:
Christina Guzzo Canada
Juan Sabatté Argentina
Valentina Cecchinato United States
Annemarie Lekkerkerker United States
Anthony D. Cristillo United States
Greg LaRosa United States
Stefano Licenziati Italy
Bas Baaten United States
Kristina Williams United States
Mugdha Bhati Australia
Min Kim relative to Christina Guzzo Canada Christina Guzzo's profile →
Citations per field
00.5×1.5×2.0×
Christina Guzzo · 1×
Citations per year

Countries citing papers authored by Min Kim

Since Specialization
Citations

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

Fields of papers citing papers by Min Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009134
2 2010113
3 201575
4 201271
5 201549
6 201446
7 202043
8 200342
9 199340
10 201737
11 201337
12 201729
13 201825
14 201921
15 202119
16 202016
17 201816
18 201814
19 202013
20 201212

About Min Kim

Min Kim is a scholar working on Immunology, Molecular Biology, Cell Biology, Virology and Epidemiology, having authored 30 papers that have together received 882 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (5 papers), Cellular transport and secretion (5 papers), T-cell and B-cell Immunology (4 papers), Herpesvirus Infections and Treatments (3 papers), interferon and immune responses (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Virology (212 citations), Immunology (463 citations), Infectious Diseases (121 citations), Epidemiology (188 citations) and Cell Biology (65 citations). Min Kim has collaborated with scholars based in South Korea, Australia and Brazil. Frequent co-authors include Anthony L. Cunningham, Andrew N. Harman, Najla Nasr, Stuart Turville, Seyun Kim, Heather Donaghy, Kerrie J. Sandgren, Rachel A. Botting, Paul Cameron and Seulgi Lee. Their work appears in journals such as The Journal of Immunology, PLoS Pathogens, Journal of Virology, iScience and Scientific Reports.

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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