John C. Yoon

21 papers receiving 5.4k citations

John C. Yoon's Hit Papers

Cumulative Haploinsufficiency and Triplosensitivity Drive Aneuploidy Patterns and Shape the Cancer Genome 2013 · 559 citations
5590+8+16Years since publication50010001.5k

Peers

John C. Yoon
Comparison fields: 5 of 106
  • Aging 157
  • Physiology 2.1k
  • Geriatrics and Gerontology 282
  • Cancer Research 791
  • Molecular Biology 3.6k
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Countries citing papers authored by John C. Yoon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with John C. Yoon Line = papers co-authored together John C. Yoon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Control of hepatic gluconeogenesis through the transcriptional coactivator PGC-1
Hit paper breakdown →
20011504
2
Insulin-regulated hepatic gluconeogenesis through FOXO1–PGC-1α interaction
Hit paper breakdown →
20031216
3
Cytokine Stimulation of Energy Expenditure through p38 MAP Kinase Activation of PPARγ Coactivator-1
Hit paper breakdown →
2001620
4
Cumulative Haploinsufficiency and Triplosensitivity Drive Aneuploidy Patterns and Shape the Cancer Genome
Hit paper breakdown →
2013559
5 2003478
6 2000349
7 2012242
8 2010196
9 2003123
10 202361
11 201930
12 201923
13 201414
14 202113
15 201713
16 202211
17 20195
18 20232
19 20181
20 20221

About John C. Yoon

John C. Yoon is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 21 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Cystic Fibrosis Research Advances (5 papers), Mitochondrial Function and Pathology (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers), Adipokines, Inflammation, and Metabolic Diseases (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 Armenia. Frequent co-authors include Bruce M. Spiegelman, Pere Puigserver, James Rhee, James A. Van Rhee, Zhidan Wu, Christopher B. Newgard, Stephen J. Elledge, Guillaume Adelmant, Guoxun Chen and John M. Stafford. 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.

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