Kyun‐Do Kim

1.2k citations
28 papers · 889 · h-index 15

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 6
    • Viral gastroenteritis research and epidemiology 3
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3

Kyun‐Do Kim

26 papers receiving 882 citations

Peers

Kyun‐Do Kim
Comparison fields: 5 of 84
  • Sensory Systems 322
  • Biochemistry 81
  • Physiology 60
  • Immunology 229
  • Cellular and Molecular Neuroscience 160
Replace Oscar Cerda with:
Oscar Cerda Chile
Ariel Quintana Germany
Ji‐Ming Feng United States
Sabrina Bréchard Luxembourg
Ruth A. Pumroy United States
Malini Ahuja United States
Tadashi Nishiya Japan
Tomas Luyten Belgium
Jonathan Pacheco United States
Jaesun Chun South Korea
Kyun‐Do Kim relative to Oscar Cerda Chile Oscar Cerda's profile →
Citations per field
00.5×1.5×2.4×
Oscar Cerda · 1×
Citations per year

Countries citing papers authored by Kyun‐Do Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kyun‐Do Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010188
2 201295
3 202290
4 201169
5 201368
6 201748
7 202147
8 202144
9 201739
10 201632
11 202127
12 202120
13 202219
14 201817
15 202114
16 202213
17 202111
18 202311
19 20219
20 20208

About Kyun‐Do Kim

Kyun‐Do Kim is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Sensory Systems and Neurology, having authored 28 papers that have together received 889 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (6 papers), Ion Channels and Receptors (5 papers), Long-Term Effects of COVID-19 (4 papers), Immunotherapy and Immune Responses (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Immune Cell Function and Interaction (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Sensory Systems (322 citations), Biochemistry (81 citations), Physiology (60 citations), Immunology (229 citations) and Cellular and Molecular Neuroscience (160 citations). Kyun‐Do Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sonal Srikanth, Yousang Gwack, Hea-Jin Jung, Julian P. Whitelegge, Puneet Souda, Insu Hwang, Jeff Abramson, Young‐Chan Kwon, Gun Young Yoon and Chae Won Kim. Their work appears in journals such as The Journal of Immunology, Nature Communications, Viruses, Microbiology Spectrum and The Journal of Cell 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.

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