Tom Tenhave
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
Papers in
-
- Epigenetics and DNA Methylation 1
- Receptor Mechanisms and Signaling 1
- Ion channel regulation and function 1
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- Substance Abuse Treatment and Outcomes 2
- Co-authors
- David W. Oslin (2 shared papers)Kevin G. Lynch (1 shared paper)James R. McKay (1 shared paper)Susan A. Murphy (1 shared paper)James D. Lewis (2 shared papers)Meenakshi Bewtra (1 shared paper)Lisa Kaiser (1 shared paper)Jason Karlawish (2 shared papers)
- Journals
- Pharmacoepidemiology and Drug Safety (1 paper)Inflammatory Bowel Diseases (1 paper)Neurology (1 paper)Experimental Lung Research (1 paper)The Journals of Gerontology Series A (1 paper)
- Partner nations
- United StatesVietnamRussia
In The Last Decade
Tom Tenhave
9 papers receiving 442 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 42
- Applied Psychology 17
- Genetics 82
- Endocrine and Autonomic Systems 18
- Epidemiology 85
Countries citing papers authored by Tom Tenhave
This map shows the geographic impact of Tom Tenhave'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 Tenhave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Tenhave more than expected).
Fields of papers citing papers by Tom Tenhave
This network shows the impact of papers produced by Tom Tenhave. 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 Tenhave. The network helps show where Tom Tenhave may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Tenhave, 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 | 2006 | 163 | |
| 2 | 2013 | 109 | |
| 3 | 2008 | 56 | |
| 4 | 1996 | 37 | |
| 5 | 1995 | 32 | |
| 6 | 2003 | 26 | |
| 7 | 2008 | 18 | |
| 8 | 2011 | 14 | |
| 9 | 1983 | 3 |
About Tom Tenhave
Tom Tenhave is a scholar working on Molecular Biology, Epidemiology, Social Psychology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 9 papers that have together received 458 indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (2 papers), Stress Responses and Cortisol (1 paper), Epigenetics and DNA Methylation (1 paper), Advanced Causal Inference Techniques (1 paper), Renin-Angiotensin System Studies (1 paper), Receptor Mechanisms and Signaling (1 paper), Ion channel regulation and function (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Statistics and Probability (42 citations), Applied Psychology (17 citations), Genetics (82 citations), Endocrine and Autonomic Systems (18 citations) and Epidemiology (85 citations). Tom Tenhave has collaborated with scholars based in United States, Vietnam and Russia. Frequent co-authors include David W. Oslin, Kevin G. Lynch, James R. McKay, Susan A. Murphy, James D. Lewis, Meenakshi Bewtra, Lisa Kaiser, Jason Karlawish, Jonathan D. Rubright and Mark Cary. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Inflammatory Bowel Diseases, Neurology, Experimental Lung Research and The Journals of Gerontology Series A.
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.