Kwang-Hwi Cho

817 citations
22 papers · 598 indexed · h-index 13
Topics
Spectroscopy and Quantum Chemical Studies (5 papers)Burkholderia infections and melioidosis (5 papers)Computational Drug Discovery Methods (5 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Kwang-Hwi Cho

22 papers receiving 593 citations

Peers

Kwang-Hwi Cho
Comparison fields: 5 of 73
  • Molecular Biology 250
  • Pathology and Forensic Medicine 162
  • Oncology 145
  • Computational Theory and Mathematics 107
  • Pharmacology 82
Replace Matthias Gehringer with:
Matthias Gehringer Germany
Jeroen C. Verheijen United States
Steven F. Bellon United States
Rand M. Miller United States
Giovanna Zinzalla United Kingdom
Ghermes G. Chilov Russia
Konstantinos Kiakos United Kingdom
Dennis Powell United States
Michael Smolinski United States
Frank J. Bruzzese United States
Kwang-Hwi Cho relative to Matthias Gehringer Germany Matthias Gehringer's profile →
Citations per field
00.5×3.3×
Matthias Gehringer · 1×
Citations per year

Countries citing papers authored by Kwang-Hwi Cho

Since Specialization
Citations

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

Fields of papers citing papers by Kwang-Hwi Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang-Hwi Cho. 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 Kwang-Hwi Cho. The network helps show where Kwang-Hwi Cho may publish in the future.

Co-authorship network of co-authors of Kwang-Hwi Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang-Hwi Cho. A scholar is included among the top collaborators of Kwang-Hwi Cho 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 Kwang-Hwi Cho. Kwang-Hwi Cho 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 4
2 2
3 1
4 6
5 6
6 32
7 263
8 5
9 31
10 17
11 9
12 17
13 17
14 3
15 19
16 36
17 31
18 26
19 34
20 24

About Kwang-Hwi Cho

Kwang-Hwi Cho is a scholar working on Molecular Medicine, Pharmacology and Physical and Theoretical Chemistry, having authored 22 papers that have together received 598 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (5 papers), Burkholderia infections and melioidosis (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Molecular Medicine (51 citations), Pharmacology (82 citations) and Pathology and Forensic Medicine (162 citations). Kwang-Hwi Cho has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kyoung Tai No, Harold A. Scheraga, Seong-Jin Park, Sang Cheol Kim, Jong Eun Lee, Won Seog Kim, Seok Jin Kim, Jaesang Kim, Seung Ho Lee and Young Hyeh Ko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

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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