Seikwan Oh

3.2k citations
139 papers · 2.7k · h-index 29

Impact in

Papers in

Seikwan Oh

138 papers receiving 2.6k citations

Peers

Seikwan Oh
Comparison fields: 5 of 116
  • Pharmacology 523
  • Biological Psychiatry 136
  • Behavioral Neuroscience 107
  • Neurology 181
  • Complementary and alternative medicine 171
Replace Michihisa Tohda with:
Michihisa Tohda Japan
Hyun Jin Choi South Korea
Chun Fu Wu China
Jun‐Sub Jung South Korea
Hironori Fujiwara Japan
Yukihisa Murakami Japan
Divya Vohora India
Seung‐Yeol Nah South Korea
Mario Baraldi Italy
Vijayalakshmi Ravindranath India
Seikwan Oh relative to Michihisa Tohda Japan Michihisa Tohda's profile →
Citations per field
00.5×3.8×
Michihisa Tohda · 1×
Citations per year

Countries citing papers authored by Seikwan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Seikwan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015214
2 2010119
3 200696
4 201593
5 200486
6 199670
7 201569
8 200060
9 201356
10 200953
11 201850
12 201749
13 201845
14 201642
15 200741
16 201541
17 200139
18 201138
19 200338
20 199836

About Seikwan Oh

Seikwan Oh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Physiology and Pharmacology, having authored 139 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Sphingolipid Metabolism and Signaling (22 papers), Ginseng Biological Effects and Applications (16 papers), Pharmacological Effects of Natural Compounds (15 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Nitric Oxide and Endothelin Effects (9 papers), Bioactive Compounds and Antitumor Agents (8 papers) and Synthesis and biological activity (8 papers). The work is most often cited by research in Pharmacology (523 citations), Biological Psychiatry (136 citations), Behavioral Neuroscience (107 citations), Neurology (181 citations) and Complementary and alternative medicine (171 citations). Seikwan Oh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jae-Chul Jung, Soyong Jang, Yeon‐Ju Lee, Kyung-Mi Kim, Young-Suk Jung, Choon‐Gon Jang, Jae‐Chul Jung, Hwan‐Soo Yoo, Inn‐Oc Han and Seung-Yeol Nah. Their work appears in journals such as Neurochemical Research, Archives of Pharmacal Research, Biomolecules & Therapeutics, Journal of Ginseng Research and Molecules.

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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