Jason M. Tennessen
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 11
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- Neurobiology and Insect Physiology Research 16
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 9
- Insect Science top 2%
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- Physiological and biochemical adaptations 10
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- Metabolomics and Mass Spectrometry Studies 7
- Mitochondrial Function and Pathology 7
- Epigenetics and DNA Methylation 6
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- Estrogen and related hormone effects 4
- Co-authors
- Carl S. ThummelJames E. CoxGeanette LamWilliam E. BarryAnn E. RougvieJanelle EvansHongde LiK.D. Baker
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Jason M. Tennessen
50 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Aging 462
- Cellular and Molecular Neuroscience 607
- Cancer Research 377
- Insect Science 298
- Endocrine and Autonomic Systems 132
Countries citing papers authored by Jason M. Tennessen
This map shows the geographic impact of Jason M. Tennessen'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 M. Tennessen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason M. Tennessen more than expected).
Fields of papers citing papers by Jason M. Tennessen
This network shows the impact of papers produced by Jason M. Tennessen. 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 M. Tennessen. The network helps show where Jason M. Tennessen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason M. Tennessen, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 23 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 18 | |
| 16 | 2018 | 16 | |
| 17 | 2017 | 57 | |
| 18 | 2010 | 1 | |
| 19 | 2008 | 22 | |
| 20 | 2006 | 20 |
About Jason M. Tennessen
Jason M. Tennessen is a scholar working on Aging, Cellular and Molecular Neuroscience and Cancer Research, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (16 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Physiological and biochemical adaptations (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Mitochondrial Function and Pathology (7 papers), Epigenetics and DNA Methylation (6 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Aging (462 citations), Cellular and Molecular Neuroscience (607 citations) and Cancer Research (377 citations). Jason M. Tennessen has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Carl S. Thummel, James E. Cox, Geanette Lam, William E. Barry, Ann E. Rougvie, Janelle Evans, Hongde Li, K.D. Baker, Eric A. Miller and Juan E. Abrahante. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.