Steve Austad
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Animal Behavior and Reproduction
- Bat Biology and Ecology Studies
Papers in
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- Nutrition and Health in Aging 3
- Adipose Tissue and Metabolism 2
- Diet and metabolism studies 2
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- D. J. Holmes (2 shared papers)Jean‐Michel Gaillard (1 shared paper)Jean‐François Lemaître (1 shared paper)Daniel H. Nussey (1 shared paper)Hannah Froy (1 shared paper)Nir Barzilai (3 shared papers)Ana María Cuervo (1 shared paper)C. A. Richardson (1 shared paper)
- Journals
- The Journals of Gerontology Series A (5 papers)Ageing Research Reviews (2 papers)Journal of Mammalogy (1 paper)Development (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Steve Austad
15 papers receiving 1.1k citations
Steve Austad's Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 381
- Ecology, Evolution, Behavior and Systematics 350
- Neuropsychology and Physiological Psychology 24
- Ecology 391
- Geriatrics and Gerontology 44
Countries citing papers authored by Steve Austad
This map shows the geographic impact of Steve Austad'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 Steve Austad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Austad more than expected).
Fields of papers citing papers by Steve Austad
This network shows the impact of papers produced by Steve Austad. 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 Steve Austad. The network helps show where Steve Austad may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Austad, 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 | Senescence in natural populations of animals: Widespread evidence and its implications for bio-gerontology Hit paper breakdown → | 2012 | 505 |
| 2 | 1995 | 159 | |
| 3 | 2016 | 101 | |
| 4 | 2018 | 87 | |
| 5 | 1994 | 77 | |
| 6 | 2010 | 71 | |
| 7 | 2016 | 59 | |
| 8 | 2003 | 34 | |
| 9 | 2010 | 26 | |
| 10 | 1997 | 21 | |
| 11 | 2006 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 4 |
About Steve Austad
Steve Austad is a scholar working on Physiology, Aging, Molecular Biology, Ecology and Geriatrics and Gerontology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Nutrition and Health in Aging (3 papers), Epigenetics and DNA Methylation (2 papers), Frailty in Older Adults (2 papers), Physiological and biochemical adaptations (2 papers), Adipose Tissue and Metabolism (2 papers), Diet and metabolism studies (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Aging (381 citations), Ecology, Evolution, Behavior and Systematics (350 citations), Neuropsychology and Physiological Psychology (24 citations), Ecology (391 citations) and Geriatrics and Gerontology (44 citations). Steve Austad has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include D. J. Holmes, Jean‐Michel Gaillard, Jean‐François Lemaître, Daniel H. Nussey, Hannah Froy, Nir Barzilai, Ana María Cuervo, C. A. Richardson, I.D. Ridgway and Shahrukh K. Hashmi. Their work appears in journals such as The Journals of Gerontology Series A, Ageing Research Reviews, Journal of Mammalogy, Development and Aging Cell.
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.