Kae Won Cho
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Epidemiology 21
- Adipokines, Inflammation, and Metabolic Diseases 20
-
- Peroxisome Proliferator-Activated Receptors 6
- Metabolism, Diabetes, and Cancer 5
- Retinoids in leukemia and cellular processes 3
- Co-authors
- Carey N. Lumeng (17 shared papers)Kanakadurga Singer (11 shared papers)Jennifer L. DelProposto (10 shared papers)Gabriel Martinez-Santibañez (8 shared papers)Lynn M. Geletka (8 shared papers)David L. Morris (6 shared papers)Liangyou Rui (8 shared papers)Brian F. Zamarron (6 shared papers)
- Journals
- Diabetes (6 papers)Molecular Metabolism (3 papers)Biochemical and Biophysical Research Communications (3 papers)International Journal of Molecular Sciences (3 papers)PLoS ONE (3 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Kae Won Cho
54 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Physiology 716
- Immunology 583
- Epidemiology 875
- Endocrine and Autonomic Systems 142
- Aging 33
Countries citing papers authored by Kae Won Cho
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
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.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 191 | |
| 2 | 2013 | 182 | |
| 3 | 2014 | 144 | |
| 4 | 2010 | 131 | |
| 5 | 2016 | 124 | |
| 6 | 2016 | 119 | |
| 7 | 2021 | 111 | |
| 8 | 2015 | 109 | |
| 9 | 2014 | 97 | |
| 10 | 2009 | 96 | |
| 11 | 2012 | 92 | |
| 12 | 2013 | 86 | |
| 13 | 2010 | 84 | |
| 14 | 2009 | 75 | |
| 15 | 2007 | 74 | |
| 16 | 2014 | 46 | |
| 17 | 2018 | 41 | |
| 18 | 2022 | 39 | |
| 19 | 2013 | 38 | |
| 20 | 2015 | 38 |
About Kae Won Cho
Kae Won Cho is a scholar working on Epidemiology, Molecular Biology, Immunology, Physiology and Surgery, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (20 papers), Adipose Tissue and Metabolism (10 papers), Immune Cell Function and Interaction (9 papers), Immune cells in cancer (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Retinoids in leukemia and cellular processes (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Physiology (716 citations), Immunology (583 citations), Epidemiology (875 citations), Endocrine and Autonomic Systems (142 citations) and Aging (33 citations). Kae Won Cho has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Carey N. Lumeng, Kanakadurga Singer, Jennifer L. DelProposto, Gabriel Martinez-Santibañez, Lynn M. Geletka, David L. Morris, Liangyou Rui, Brian F. Zamarron, Taleen Mergian and Lindsey A. Muir. Their work appears in journals such as Diabetes, Molecular Metabolism, Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and PLoS ONE.
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.