Tom Case
Impact in
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- Cancer, Lipids, and Metabolism
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- Eicosanoids and Hypertension Pharmacology
Papers in
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- Prostate Cancer Treatment and Research 5
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- TGF-β signaling in diseases 2
- FOXO transcription factor regulation 2
- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- Robert J. Matusik (6 shared papers)Scott B. Shappell (2 shared papers)Rajnish A. Gupta (1 shared paper)William E. Boeglin (1 shared paper)Gregory S. Jack (1 shared paper)Suzanne S. Manning (1 shared paper)James O. Price (1 shared paper)Robert H. Whitehead (1 shared paper)
- Journals
- Journal of the Association for Information Systems (3 papers)The Prostate (2 papers)Urology (1 paper)Laboratory Investigation (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Tom Case
14 papers receiving 460 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 79
- Biochemistry 41
- Pharmacology 65
- Molecular Biology 248
- Toxicology 12
Countries citing papers authored by Tom Case
This map shows the geographic impact of Tom Case'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 Tom Case with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Case more than expected).
Fields of papers citing papers by Tom Case
This network shows the impact of papers produced by Tom Case. 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 Tom Case. The network helps show where Tom Case may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Case, 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 | 15S-Hydroxyeicosatetraenoic acid activates peroxisome proliferator-activated receptor gamma and inhibits proliferation in PC3 prostate carcinoma cells. | 2001 | 186 |
| 2 | 2003 | 83 | |
| 3 | 1997 | 49 | |
| 4 | 2014 | 41 | |
| 5 | 2013 | 36 | |
| 6 | 2007 | 29 | |
| 7 | 2015 | 23 | |
| 8 | 2012 | 9 | |
| 9 | 2006 | 4 | |
| 10 | 1996 | 3 | |
| 11 | 2008 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2010 | 1 | |
| 14 | Antecedents of Generalized Computer Self-Efficacy Judgements | 2005 | 1 |
| 15 | Extending the MOSES Object-Oriented Analysis and Design Methodology to Include Database Applications. | 1995 | 0 |
About Tom Case
Tom Case is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Computer Science Applications, Information Systems and Computer Networks and Communications, having authored 15 papers that have together received 467 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), TGF-β signaling in diseases (2 papers), FOXO transcription factor regulation (2 papers), ICT Impact and Policies (1 paper), Knowledge Management and Sharing (1 paper), Online and Blended Learning (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Clusterin in disease pathology (1 paper). The work is most often cited by research in Cancer Research (79 citations), Biochemistry (41 citations), Pharmacology (65 citations), Molecular Biology (248 citations) and Toxicology (12 citations). Tom Case has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Robert J. Matusik, Scott B. Shappell, Rajnish A. Gupta, William E. Boeglin, Gregory S. Jack, Suzanne S. Manning, James O. Price, Robert H. Whitehead, Claus G. Schneider and Thomas M. Wheeler. Their work appears in journals such as Journal of the Association for Information Systems, The Prostate, Urology, Laboratory Investigation 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.