Chu-Sook Kim

1.6k citations
29 papers · 1.4k · h-index 18

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 12
    • Adipose Tissue and Metabolism 8

Chu-Sook Kim

28 papers receiving 1.3k citations

Peers

Chu-Sook Kim
Comparison fields: 5 of 99
  • Sensory Systems 227
  • Biochemistry 117
  • Physiology 350
  • Pharmacology 114
  • Geriatrics and Gerontology 42
Replace Ritesh Kumar Baboota with:
Ritesh Kumar Baboota India
Tiina Leppänen Finland
Phil‐Dong Moon South Korea
Lvyi Chen China
Hyo Won Jung South Korea
Thacyana Teixeira de Carvalho Brazil
Uraiwan Panich Thailand
Ruyuan Zhu China
Ilenia Cirilli Italy
Chu-Sook Kim relative to Ritesh Kumar Baboota India Ritesh Kumar Baboota's profile →
Citations per field
00.5×2×2.7×
Ritesh Kumar Baboota · 1×
Citations per year

Countries citing papers authored by Chu-Sook Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chu-Sook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chu-Sook Kim. 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 Chu-Sook Kim. The network helps show where Chu-Sook Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003282
2 2007167
3 2011110
4 2004101
5 200376
6 201869
7 201864
8 201759
9 201152
10 201348
11 201238
12 201637
13 200337
14 201233
15 201931
16 200427
17 200926
18 202319
19 202315
20 201015

About Chu-Sook Kim

Chu-Sook Kim is a scholar working on Epidemiology, Physiology, Immunology, Sensory Systems and Immunology and Allergy, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Fibroblast Growth Factor Research (3 papers), Chemokine receptors and signaling (3 papers), Ion Channels and Receptors (3 papers), Cell Adhesion Molecules Research (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Sensory Systems (227 citations), Biochemistry (117 citations), Physiology (350 citations), Pharmacology (114 citations) and Geriatrics and Gerontology (42 citations). Chu-Sook Kim has collaborated with scholars based in South Korea, Japan and Ethiopia. Frequent co-authors include Rina Yu, Teruo Kawada, In‐Seob Han, Ji‐Hye Kang, Suck-Young Choe, Byung-Sam Kim, Tadao KURATA, Tsuyoshi Goto, Hoon Yoo and Hyun‐Jung Choi. Their work appears in journals such as FEBS Letters, Cancer Research, Journal of Obesity & Metabolic Syndrome, Inflammation Research and Journal of Inflammation.

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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