Sunoh Kwon

2.1k citations
63 papers · 1.8k · h-index 24

Impact in

Papers in

Sunoh Kwon

61 papers receiving 1.7k citations

Peers

Sunoh Kwon
Comparison fields: 5 of 105
  • Complementary and alternative medicine 454
  • Biological Psychiatry 33
  • Infectious Diseases 281
  • Pharmacology 182
  • Drug Discovery 3
Replace Madhavan Nampoothiri with:
Madhavan Nampoothiri India
Vineet Mehta India
Hélio Vitoriano Nobre Júnior Brazil
Martin D. Carmichael United States
Takayuki Nagai Japan
Philippe Nuss France
Najeeb Ullah Pakistan
Toshihiko Hanawa Japan
Prem Narayan Yadav United States
Alexandre Kanashiro Brazil
Sunoh Kwon relative to Madhavan Nampoothiri India Madhavan Nampoothiri's profile →
Citations per field
00.5×2×3.4×
Madhavan Nampoothiri · 1×
Citations per year

Countries citing papers authored by Sunoh Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sunoh Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019228
2 2017149
3 200999
4 201398
5 202092
6 201391
7 201370
8 201364
9 201355
10 201842
11 201138
12 201037
13 201237
14 202132
15 202030
16 202030
17 201327
18 201527
19 201226
20 201926

About Sunoh Kwon

Sunoh Kwon is a scholar working on Complementary and alternative medicine, Infectious Diseases, Neurology, Pharmacology and Psychiatry and Mental health, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (18 papers), SARS-CoV-2 and COVID-19 Research (14 papers), Schizophrenia research and treatment (7 papers), Long-Term Effects of COVID-19 (6 papers), Traditional Chinese Medicine Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Medicinal Plants and Neuroprotection (3 papers) and Medicinal Plant Extracts Effects (3 papers). The work is most often cited by research in Complementary and alternative medicine (454 citations), Biological Psychiatry (33 citations), Infectious Diseases (281 citations), Pharmacology (182 citations) and Drug Discovery (3 citations). Sunoh Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dae‐Hyun Hahm, Hi‐Joon Park, Young-Hee Jin, Mei Huang, Herbert Y. Meltzer, Bombi Lee, Jung Sun Min, Hyejung Lee, Lakshmi Rajagopal and Bongjun Sur. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Bioorganic & Medicinal Chemistry Letters, Biomolecules & Therapeutics, Psychopharmacology 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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