Kae Won Cho

2.8k citations
54 papers · 2.2k · h-index 27

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 21
    • Peroxisome Proliferator-Activated Receptors 7
    • Metabolism, Diabetes, and Cancer 7
    • Retinoids in leukemia and cellular processes 3

Kae Won Cho

51 papers receiving 2.1k citations

Peers

Kae Won Cho
Comparison fields: 5 of 113
  • Physiology 732
  • Immunology 520
  • Epidemiology 817
  • Endocrine and Autonomic Systems 141
  • Aging 34
Replace Ebru Erbay with:
Ebru Erbay United States
Sungsoon Fang South Korea
Junta Imai Japan
Brian E. Sansbury United States
Nicky Konstantopoulos Australia
Delphine Eberlé France
Rajaa El Bekay Spain
Yup Kang South Korea
Hyokjoon Kwon United States
Liang Guo China
Kae Won Cho relative to Ebru Erbay United States Ebru Erbay's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Kae Won Cho

Since Specialization
Citations

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

Fields of papers citing papers by Kae Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kae Won Cho. 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 Kae Won Cho. The network helps show where Kae Won Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014180
2 2014139
3 2010124
4 2016120
5 2016116
6 2015105
7 2021103
8 201495
9 200991
10 201291
11 201081
12 201381
13 200974
14 200769
15 201444
16 201839
17 201037
18 201536
19 201535
20 201035

About Kae Won Cho

Kae Won Cho is a scholar working on Epidemiology, Molecular Biology, Physiology, Immunology and Surgery, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (21 papers), Adipose Tissue and Metabolism (14 papers), Immune Cell Function and Interaction (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Immune cells in cancer (6 papers), Pancreatic function and diabetes (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Physiology (732 citations), Immunology (520 citations), Epidemiology (817 citations), Endocrine and Autonomic Systems (141 citations) and Aging (34 citations). Kae Won Cho has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Carey N. Lumeng, Kanakadurga Singer, Jennifer L. DelProposto, Gabriel Martinez-Santibañez, Liangyou Rui, Lynn M. Geletka, David L. Morris, Brian F. Zamarron, Taleen Mergian and Lindsey A. Muir. Their work appears in journals such as Diabetes, International Journal of Molecular Sciences, PLoS ONE, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

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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