Kyun‐Do Kim

1.2k citations
28 papers · 889 indexed · h-index 15
Topics
SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 Clinical Research Studies (6 papers)Ion Channels and Receptors (5 papers)

In The Last Decade

Kyun‐Do Kim

26 papers receiving 882 citations

Peers

Kyun‐Do Kim
Comparison fields: 5 of 84
  • Molecular Biology 337
  • Sensory Systems 322
  • Immunology 229
  • Cellular and Molecular Neuroscience 160
  • Infectious Diseases 143
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
00.5×4.6×
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-authorship network of co-authors of Kyun‐Do Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kyun‐Do Kim. A scholar is included among the top collaborators of Kyun‐Do Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyun‐Do Kim. Kyun‐Do Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 4
5 19
6 7
7 90
8 14
9 11
10 27
11 47
12 8
13 17
14 48
15 3
16 68
17 95
18
Variation of Vulnerability and Post‐traumatic Stress Disorder of Residents Due to Oil Spill Accident of Hebei Spirit: Analysis of panel data after the accident in Sep, 2008 and Oct, 2010
1
19 69
20 188

About Kyun‐Do Kim

Kyun‐Do Kim is a scholar working on Sensory Systems, Infectious Diseases and Biochemistry, 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) and Ion Channels and Receptors (5 papers). The work is most often cited by research in Sensory Systems (322 citations), Biochemistry (81 citations) and Physiology (60 citations). Kyun‐Do Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Yousang Gwack, Sonal Srikanth, Julian P. Whitelegge, Hea-Jin Jung, Puneet Souda, Jeff Abramson, Insu Hwang, Gun Young Yoon, Young‐Chan Kwon and Heung Kyu Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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