Jason Gay
- Molecular Biology
- Oncology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 5%
- Co-authors
- Jeffrey M. RosenDaniel MedinaBrian ZambrowiczGretchen J. DarlingtonTiffany N. SeagrovesBrian RaughtBonnie Burgess-BeusseWilliam R. Brinkley
- Topics
- Lipid metabolism and disorders (6 papers)Cancer-related Molecular Pathways (4 papers)Cancer, Hypoxia, and Metabolism (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCancer ResearchCardiology and Cardiovascular Medicine
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGenes & Development
- Partner nations
- United StatesBrazilSweden
In The Last Decade
Jason Gay
30 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 653
- Oncology 440
- Cardiology and Cardiovascular Medicine 425
- Endocrinology, Diabetes and Metabolism 415
- Cancer Research 309
Countries citing papers authored by Jason Gay
This map shows the geographic impact of Jason Gay'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 Jason Gay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Gay more than expected).
Fields of papers citing papers by Jason Gay
This network shows the impact of papers produced by Jason Gay. 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 Jason Gay. The network helps show where Jason Gay may publish in the future.
Co-authorship network of co-authors of Jason Gay
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Gay. A scholar is included among the top collaborators of Jason Gay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Gay. Jason Gay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 138 | |
| 8 | 17 | |
| 9 | 53 | |
| 10 | 15 | |
| 11 | 105 | |
| 12 | 134 | |
| 13 | 155 | |
| 14 | 29 | |
| 15 | 17 | |
| 16 | 20 | |
| 17 | 40 | |
| 18 | 89 | |
| 19 | 47 | |
| 20 | 222 |
About Jason Gay
Jason Gay is a scholar working on Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (6 papers), Cancer-related Molecular Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (415 citations), Cancer Research (309 citations) and Cardiology and Cardiovascular Medicine (425 citations). Jason Gay has collaborated with scholars based in United States, Brazil and Sweden. Frequent co-authors include Jeffrey M. Rosen, Daniel Medina, Brian Zambrowicz, Gretchen J. Darlington, Tiffany N. Seagroves, Brian Raught, Bonnie Burgess-Beusse, William R. Brinkley, Ling Zhong and Thea M. Goepfert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.