Sean M. Armour
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine 7
- Aging top 1%
- Cancer Research top 1%
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- Circadian rhythm and melatonin 2
- Physiology top 2%
- Calcium signaling and nucleotide metabolism 3
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- Virus-based gene therapy research 3
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- Mitochondrial Function and Pathology 3
- ATP Synthase and ATPases Research 2
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- Autophagy in Disease and Therapy 3
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- CAR-T cell therapy research 2
- Co-authors
- Eyal GottliebCraig B. ThompsonM. Celeste SimonMary SelakKyle D. MansfieldDavid G. WatsonHouda BoulahbelElaine D. MacKenzie
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Sean M. Armour
17 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Geriatrics and Gerontology 692
- Aging 183
- Cancer Research 1.3k
- Endocrine and Autonomic Systems 342
- Physiology 162
Countries citing papers authored by Sean M. Armour
This map shows the geographic impact of Sean M. Armour'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 Sean M. Armour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean M. Armour more than expected).
Fields of papers citing papers by Sean M. Armour
This network shows the impact of papers produced by Sean M. Armour. 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 Sean M. Armour. The network helps show where Sean M. Armour may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sean M. Armour, 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 | 2 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 1 | |
| 4 | 2019 | 0 | |
| 5 | 2019 | 2 | |
| 6 | 2017 | 47 | |
| 7 | 2015 | 247 | |
| 8 | 2014 | 178 | |
| 9 | 2013 | 20 | |
| 10 | 2013 | 18 | |
| 11 | 2013 | 54 | |
| 12 | 2011 | 106 | |
| 13 | 2011 | 134 | |
| 14 | 2009 | 134 | |
| 15 | SIRT1 deacetylase protects against neurodegeneration in models for Alzheimer's disease and amyotrophic lateral sclerosisbreakdown → | 2007 | 863 |
| 16 | Succinate links TCA cycle dysfunction to oncogenesis by inhibiting HIF-α prolyl hydroxylasebreakdown → | 2005 | 1632 |
| 17 | Mitochondrial membrane potential regulates matrix configuration and cytochrome c release during apoptosisbreakdown → | 2003 | 646 |
| 18 | 2002 | 65 |
About Sean M. Armour
Sean M. Armour is a scholar working on Geriatrics and Gerontology, Physiology and Aging, having authored 18 papers that have together received 4.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (7 papers), Virus-based gene therapy research (3 papers), Mitochondrial Function and Pathology (3 papers), Autophagy in Disease and Therapy (3 papers), Calcium signaling and nucleotide metabolism (3 papers), CAR-T cell therapy research (2 papers), ATP Synthase and ATPases Research (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Geriatrics and Gerontology (692 citations), Aging (183 citations) and Cancer Research (1.3k citations). Sean M. Armour has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Eyal Gottlieb, Craig B. Thompson, M. Celeste Simon, Mary Selak, Kyle D. Mansfield, David G. Watson, Houda Boulahbel, Elaine D. MacKenzie, Yi Pan and Marian H. Harris. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.