Kang‐Beom Kwon

3.7k citations
100 papers · 3.1k indexed · h-index 31

Kang‐Beom Kwon

98 papers receiving 3.0k citations

Peers

Kang‐Beom Kwon
Comparison fields: 5 of 118
  • Geriatrics and Gerontology 207
  • Sensory Systems 207
  • Pharmacology 245
  • Toxicology 95
  • Biochemistry 164
Replace Feng Zhu with:
Feng Zhu China
Hong‐Seob So South Korea
Seong‐Ho Lee United States
Raekil Park South Korea
Seon‐Hee Oh South Korea
Inés Dı́az-Laviada Spain
Juan J. Moreno Spain
Raekil Park South Korea
Xiuwen Tang China
Satoshi Onodera Japan
Kang‐Beom Kwon relative to Feng Zhu China Feng Zhu's profile →
Citations per field
00.5×1.5×2.0×
Feng Zhu · 1×
Citations per year

Countries citing papers authored by Kang‐Beom Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Kang‐Beom Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 201717
4 201647
5 20145
6 201320
7
Cytoprotective and Anti-inflammatory Effects of Nardostachys jatamansi Water Extract Via Expression of HO-1
20101
8 2010241
9
Anti-inflammatory Effects of Sophora Japonica Aqueous Extract
20091
10
Study on Principle of the Theory of Eight Constitutional Medicine
20092
11 200923
12
Study on Anti-obesity Effect of Chegameuiin-tang
20082
13 200821
14 200730
15
Study on the Antidiabetic Effect of Amomum xanthioides Extract
20070
16
Study On Shimpo, Samcho and Myoungmoon In Oriental Medicine
20071
17 200673
18 200310
19 200163
20 200125

About Kang‐Beom Kwon

Kang‐Beom Kwon is a scholar working on Complementary and alternative medicine, Pharmacology and Pharmacology, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (11 papers), Ginger and Zingiberaceae research (8 papers), Cell death mechanisms and regulation (8 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Bioactive natural compounds (6 papers), melanin and skin pigmentation (6 papers), Autophagy in Disease and Therapy (6 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). The work is most often cited by research in Geriatrics and Gerontology (207 citations), Sensory Systems (207 citations) and Pharmacology (245 citations). Kang‐Beom Kwon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Byung‐Hyun Park, Jin‐Woo Park, Do‐Gon Ryu, Mi‐Young Song, Young‐Rae Lee, Eun‐Kyung Kim, Hong‐Seob So, Jong‐Suk Kim, Raekil Park and Myung‐Kwan Han. Their work appears in journals such as International Journal of Molecular Medicine, Experimental & Molecular Medicine, Journal of King Saud University - Science, Evidence-based Complementary and Alternative Medicine and Life Sciences.

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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