Kang‐Beom Kwon

4.0k citations
103 papers · 3.3k · h-index 32

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 8
    • Cell death mechanisms and regulation 6
    • Bone Metabolism and Diseases 5
    • Ginger and Zingiberaceae research 8

Kang‐Beom Kwon

101 papers receiving 3.3k citations

Peers

Kang‐Beom Kwon
Comparison fields: 5 of 115
  • Geriatrics and Gerontology 186
  • Sensory Systems 202
  • Toxicology 101
  • Pharmacology 249
  • Biochemistry 169
Replace Gi‐Su Oh with:
Gi‐Su Oh South Korea
Feng Zhu China
Seong‐Ho Lee United States
Raekil Park South Korea
Satoshi Onodera Japan
Yong Pil Hwang South Korea
Wahn Soo Choi South Korea
Shin‐ichi Tashiro Japan
Chang Hwa Jung South Korea
Xiuwen Tang China
Kang‐Beom Kwon relative to Gi‐Su Oh South Korea Gi‐Su Oh's profile →
Citations per field
00.5×1.5×1.9×
Gi‐Su Oh · 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-authors

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

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008292
2 2010243
3 2008152
4 2002135
5 2008111
6 200289
7 201387
8 200884
9 200983
10 200780
11 200675
12 200767
13 200567
14 200766
15 200164
16 200862
17 201559
18 201057
19 201853
20 201647

About Kang‐Beom Kwon

Kang‐Beom Kwon is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Oncology and Immunology, having authored 103 papers that have together received 3.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Ginger and Zingiberaceae research (8 papers), NF-κB Signaling Pathways (7 papers), melanin and skin pigmentation (6 papers), Cell death mechanisms and regulation (6 papers), Adipose Tissue and Metabolism (5 papers), Bone Metabolism and Diseases (5 papers) and Natural Antidiabetic Agents Studies (5 papers). The work is most often cited by research in Geriatrics and Gerontology (186 citations), Sensory Systems (202 citations), Toxicology (101 citations), Pharmacology (249 citations) and Biochemistry (169 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, Jong‐Suk Kim, Hong‐Seob So, Raekil Park and Myung‐Kwan Han. Their work appears in journals such as International Journal of Molecular Medicine, Experimental & Molecular Medicine, Evidence-based Complementary and Alternative Medicine, Life Sciences and Journal of King Saud University - Science.

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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