Jay Whelan
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Gut microbiota and health
- Metabolism, Diabetes, and Cancer
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Bioactive natural compounds 3
- Histone Deacetylase Inhibitors Research 3
- Cell death mechanisms and regulation 3
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- Cancer, Hypoxia, and Metabolism 6
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Dallas R. Donohoe (12 shared papers)Ahmed Bettaieb (9 shared papers)Yi Zhao (6 shared papers)Anna Han (5 shared papers)Julia S. Gouffon (1 shared paper)J. Bruce German (1 shared paper)Megan Johnstone (2 shared papers)J. Jason Collier (2 shared papers)
- Journals
- The FASEB Journal (5 papers)BMC Complementary and Alternative Medicine (2 papers)Journal of Cellular Biochemistry (1 paper)Adipocyte (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Whelan
19 papers receiving 334 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 89
- Molecular Biology 203
- Biochemistry 21
- Toxicology 8
- Nutrition and Dietetics 32
Countries citing papers authored by Jay Whelan
This map shows the geographic impact of Jay Whelan'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 Jay Whelan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Whelan more than expected).
Fields of papers citing papers by Jay Whelan
This network shows the impact of papers produced by Jay Whelan. 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 Jay Whelan. The network helps show where Jay Whelan may publish in the future.
Co-authors
The 23 scholars most cited alongside Jay Whelan, 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 | 2019 | 127 | |
| 2 | 2018 | 41 | |
| 3 | 2012 | 34 | |
| 4 | 1996 | 25 | |
| 5 | 2015 | 21 | |
| 6 | 2016 | 20 | |
| 7 | 2014 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2020 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2015 | 0 |
About Jay Whelan
Jay Whelan is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Epidemiology and Oncology, having authored 20 papers that have together received 337 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer, Lipids, and Metabolism (3 papers), Bioactive natural compounds (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer Mechanisms and Therapy (3 papers), Cell death mechanisms and regulation (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Cancer Research (89 citations), Molecular Biology (203 citations), Biochemistry (21 citations), Toxicology (8 citations) and Nutrition and Dietetics (32 citations). Jay Whelan has collaborated with scholars based in United States. Frequent co-authors include Dallas R. Donohoe, Ahmed Bettaieb, Yi Zhao, Anna Han, Julia S. Gouffon, J. Bruce German, Megan Johnstone, J. Jason Collier, Alexis D. Smith and Guoxun Chen. Their work appears in journals such as The FASEB Journal, BMC Complementary and Alternative Medicine, Journal of Cellular Biochemistry, Adipocyte and Journal of Cellular Physiology.
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.