Jay C. Strum
- Oncology top 2%
- Lung Cancer Research Studies 12
- Cancer-related Molecular Pathways 11
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 7
- Protein Kinase Regulation and GTPase Signaling 6
- Physiology top 5%
- Adipose Tissue and Metabolism 7
- Cancer Research top 5%
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 5
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- Advanced Breast Cancer Therapies 23
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- Adipokines, Inflammation, and Metabolic Diseases 5
- Co-authors
- Sujoy GhoshRobert M. BellLarry W. DanielJohn BisiPatrick J. RobertsVicki A. SciorraJessica A. SorrentinoNorman E. Sharpless
- Cited by
- OncologyMolecular BiologyPhysiology
- Journals
- Cancer Research (12 papers)Journal of Biological Chemistry (7 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jay C. Strum
55 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 107
- Oncology 1.0k
- Molecular Biology 1.9k
- Physiology 651
- Cancer Research 376
- Biochemistry 161
Countries citing papers authored by Jay C. Strum
This map shows the geographic impact of Jay C. Strum'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 C. Strum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay C. Strum more than expected).
Fields of papers citing papers by Jay C. Strum
This network shows the impact of papers produced by Jay C. Strum. 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 C. Strum. The network helps show where Jay C. Strum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay C. Strum, 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 | 2025 | 8 | |
| 2 | 2023 | 62 | |
| 3 | 2020 | 37 | |
| 4 | 2019 | 2 | |
| 5 | 2017 | 22 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 90 | |
| 8 | 2015 | 5 | |
| 9 | 2012 | 215 | |
| 10 | 2007 | 48 | |
| 11 | 2006 | 128 | |
| 12 | 2006 | 85 | |
| 13 | 2006 | 44 | |
| 14 | 2005 | 18 | |
| 15 | 2004 | 57 | |
| 16 | 2001 | 56 | |
| 17 | 1997 | 117 | |
| 18 | 1997 | 16 | |
| 19 | 1996 | 354 | |
| 20 | 1995 | 45 |
About Jay C. Strum
Jay C. Strum is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Biochemistry, Physiology and Clinical Biochemistry, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (23 papers), Lung Cancer Research Studies (12 papers), Cancer-related Molecular Pathways (11 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Oncology (1.0k citations), Molecular Biology (1.9k citations), Physiology (651 citations), Cancer Research (376 citations) and Biochemistry (161 citations). Jay C. Strum has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sujoy Ghosh, Robert M. Bell, Larry W. Daniel, John Bisi, Patrick J. Roberts, Vicki A. Sciorra, Jessica A. Sorrentino, Norman E. Sharpless, George W. Small and Michael Mattie. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Journal of Clinical Oncology, Molecular Cancer Therapeutics and Biochemical and Biophysical Research Communications.
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.