Ki‐Wan Oh

4.4k citations
129 papers · 3.8k · h-index 36

Impact in

Papers in

Ki‐Wan Oh

127 papers receiving 3.7k citations

Peers

Ki‐Wan Oh
Comparison fields: 5 of 120
  • Biological Psychiatry 263
  • Neurology 427
  • Complementary and alternative medicine 396
  • Pharmacology 428
  • Pharmacology 737
Replace Siu‐Po Ip with:
Siu‐Po Ip Hong Kong
Rafael C. Dutra Brazil
Seung-Yeol Nah South Korea
Hong‐Won Suh South Korea
Li‐Tao Yi China
Ki Wan Oh South Korea
Myung Sook Oh South Korea
Nicoletta Galeotti Italy
Masaki Aburada Japan
Glauce Socorro de Barros Viana Brazil
Ki‐Wan Oh relative to Siu‐Po Ip Hong Kong Siu‐Po Ip's profile →
Citations per field
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Siu‐Po Ip · 1×
Citations per year

Countries citing papers authored by Ki‐Wan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Wan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010334
2 2012162
3 2010154
4 2007152
5 2010123
6 2012121
7 2009107
8 200892
9 201288
10 200580
11 201180
12 200772
13 200755
14 200952
15 200952
16 201450
17 200849
18 201149
19 201047
20 199746

About Ki‐Wan Oh

Ki‐Wan Oh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Pharmacology, having authored 129 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (30 papers), Neuroscience and Neuropharmacology Research (18 papers), Magnolia and Illicium research (18 papers), Pharmacological Effects of Natural Compounds (14 papers), Biological and pharmacological studies of plants (14 papers), Biochemical Analysis and Sensing Techniques (14 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Ziziphus Jujuba Studies and Applications (11 papers). The work is most often cited by research in Biological Psychiatry (263 citations), Neurology (427 citations), Complementary and alternative medicine (396 citations), Pharmacology (428 citations) and Pharmacology (737 citations). Ki‐Wan Oh has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jin Tae Hong, Sang‐Bae Han, Young‐Jung Lee, Sang-Yoon Nam, Jin‐Tae Hong, Jin‐Yi Han, Dong‐Young Choi, Hack-Seang Kim, Yuan Ma and Jae Soon Eun. Their work appears in journals such as Archives of Pharmacal Research, Biomolecules & Therapeutics, Journal of Ethnopharmacology, Pharmacology Biochemistry and Behavior and Molecular Neurobiology.

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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