Kwang‐Seok Oh

1.7k citations
83 papers · 1.3k indexed · h-index 21
Topics
Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers)NF-κB Signaling Pathways (14 papers)Computational Drug Discovery Methods (11 papers)
Partner nations
South KoreaYemenIndia

In The Last Decade

Kwang‐Seok Oh

82 papers receiving 1.3k citations

Peers

Kwang‐Seok Oh
Comparison fields: 5 of 119
  • Molecular Biology 580
  • Computational Theory and Mathematics 293
  • Organic Chemistry 195
  • Pharmacology 169
  • Cardiology and Cardiovascular Medicine 147
Replace Byung Ho Lee with:
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Ana I. Casas Netherlands
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Tianyi Yuan China
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Kwang‐Seok Oh relative to Byung Ho Lee South Korea Byung Ho Lee's profile →
Citations per field
00.5×1.6×
Byung Ho Lee · 1×
Citations per year

Countries citing papers authored by Kwang‐Seok Oh

Since Specialization
Citations

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

Fields of papers citing papers by Kwang‐Seok Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang‐Seok Oh. 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‐Seok Oh. The network helps show where Kwang‐Seok Oh may publish in the future.

Co-authorship network of co-authors of Kwang‐Seok Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Seok Oh. A scholar is included among the top collaborators of Kwang‐Seok Oh 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‐Seok Oh. Kwang‐Seok Oh 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 5
2 6
3 5
4 11
5 6
6 23
7 8
8 8
9 18
10 30
11 6
12 12
13 15
14 13
15 12
16 4
17 8
18
Vasorelaxation Effect of the Flavonoids from the Rhizome Extract of Alpinia officinarum on Isolated Rat Thoracic Aorta
3
19 34
20
Expression and Purification of an ACE-Inhibitory Peptide Multimer from Synthetic DNA in Escherichia coli
9

About Kwang‐Seok Oh

Kwang‐Seok Oh is a scholar working on Pharmacology, Cancer Research and Pharmacology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers), NF-κB Signaling Pathways (14 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Computational Theory and Mathematics (293 citations), Pharmacology (97 citations) and Biochemistry (66 citations). Kwang‐Seok Oh has collaborated with scholars based in South Korea, Yemen and India. Frequent co-authors include Byung Ho Lee, Ho Won Seo, Jeong Hyun Lee, Jae Yong Ryu, Kyu Yang Yi, Dokyun Na, Myeong‐Sang Yu, Shi Yong Ryu, Chae Jo Lim and Sunjoo Ahn. Their work appears in journals such as Bioinformatics, Journal of Neurophysiology 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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