Kang-Sik Seo

870 citations
23 papers · 742 · h-index 12

Impact in

    • Lipid metabolism and biosynthesis
    • Eicosanoids and Hypertension Pharmacology
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Peripheral Artery Disease Management 2
    • ATP Synthase and ATPases Research 2
    • Mitochondrial Function and Pathology 2

Kang-Sik Seo

21 papers receiving 741 citations

Peers

Kang-Sik Seo
Comparison fields: 5 of 83
  • Biochemistry 96
  • Cancer Research 149
  • Nutrition and Dietetics 141
  • Geriatrics and Gerontology 25
  • Epidemiology 166
Replace Gi‐Ryang Kweon with:
Gi‐Ryang Kweon South Korea
Philip Hallenborg Denmark
Seung‐Kiel Park South Korea
Sarah Hummasti United States
Ping Cheng China
Md. Kaimul Ahsan United States
Surendra K. Shukla United States
Tamás Lőrincz Hungary
Sara Verdura Spain
Jung Seok Hwang South Korea
Kang-Sik Seo relative to Gi‐Ryang Kweon South Korea Gi‐Ryang Kweon's profile →
Citations per field
00.5×1.5×
Gi‐Ryang Kweon · 1×
Citations per year

Countries citing papers authored by Kang-Sik Seo

Since Specialization
Citations

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

Fields of papers citing papers by Kang-Sik Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang-Sik Seo. 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-Sik Seo. The network helps show where Kang-Sik Seo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011172
2 2013135
3 201174
4 200962
5 200856
6 201446
7 201541
8 201837
9 201226
10 200925
11 200720
12 202020
13 201410
14 20215
15 20134
16 20143
17 20192
18 20101
19 20111
20 20231

About Kang-Sik Seo

Kang-Sik Seo is a scholar working on Surgery, Molecular Biology, Epidemiology, Nutrition and Dietetics and Genetics, having authored 23 papers that have together received 742 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (4 papers), Autophagy in Disease and Therapy (3 papers), Cancer, Lipids, and Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers), ATP Synthase and ATPases Research (2 papers), Mitochondrial Function and Pathology (2 papers), Peripheral Artery Disease Management (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Biochemistry (96 citations), Cancer Research (149 citations), Nutrition and Dietetics (141 citations), Geriatrics and Gerontology (25 citations) and Epidemiology (166 citations). Kang-Sik Seo has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Jong‐Il Park, Gi‐Ryang Kweon, Kyoungsub Song, Kyu Lim, Jun Young Heo, Byung‐Doo Hwang, Kaipeng Jing, Woong Yoon, Jeongsu Han and Soyeon Shin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Neurology, Cancer Research, BMC Cancer and Autophagy.

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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