John C. Yoon
- Aging top 2%
- Physiology top 1%
- Adipose Tissue and Metabolism 9
- Geriatrics and Gerontology top 1%
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 2
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 5
- Metabolism, Diabetes, and Cancer 4
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- Cystic Fibrosis Research Advances 5
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Pancreatic function and diabetes 3
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- Cardiovascular Disease and Adiposity 2
- Co-authors
- Bruce M. SpiegelmanPere PuigserverJames A. Van RheeJames RheeZhidan WuChristopher B. NewgardStephen J. ElledgeJohn M. Stafford
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
John C. Yoon
21 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 157
- Physiology 2.1k
- Geriatrics and Gerontology 282
- Cancer Research 791
- Molecular Biology 3.6k
Countries citing papers authored by John C. Yoon
This map shows the geographic impact of John C. Yoon'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 John C. Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Yoon more than expected).
Fields of papers citing papers by John C. Yoon
This network shows the impact of papers produced by John C. Yoon. 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 John C. Yoon. The network helps show where John C. Yoon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John C. Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 61 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 1 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 30 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 13 | |
| 11 | 2014 | 14 | |
| 12 | Cumulative Haploinsufficiency and Triplosensitivity Drive Aneuploidy Patterns and Shape the Cancer Genomebreakdown → | 2013 | 559 |
| 13 | 2012 | 242 | |
| 14 | 2010 | 196 | |
| 15 | 2003 | 123 | |
| 16 | Insulin-regulated hepatic gluconeogenesis through FOXO1–PGC-1α interactionbreakdown → | 2003 | 1216 |
| 17 | 2003 | 478 | |
| 18 | Cytokine Stimulation of Energy Expenditure through p38 MAP Kinase Activation of PPARγ Coactivator-1breakdown → | 2001 | 620 |
| 19 | Control of hepatic gluconeogenesis through the transcriptional coactivator PGC-1breakdown → | 2001 | 1504 |
| 20 | 2000 | 349 |
About John C. Yoon
John C. Yoon is a scholar working on Aging, Physiology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Mitochondrial Function and Pathology (5 papers), Cystic Fibrosis Research Advances (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Disease and Adiposity (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Aging (157 citations), Physiology (2.1k citations), Geriatrics and Gerontology (282 citations), Cancer Research (791 citations) and Molecular Biology (3.6k citations). John C. Yoon has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Bruce M. Spiegelman, Pere Puigserver, James A. Van Rhee, James Rhee, Zhidan Wu, Christopher B. Newgard, Stephen J. Elledge, John M. Stafford, C.Ronald Kahn and Daryl K. Granner. Their work appears in journals such as Journal of Cystic Fibrosis, Molecular Cell, Nature, Proceedings of the National Academy of Sciences and Endocrinology.
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.