Stephen Treaster
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Pluripotent Stem Cells Research 2
- Heat shock proteins research 2
- Single-cell and spatial transcriptomics 1
- Muscle Physiology and Disorders 1
- Genomics and Phylogenetic Studies 1
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- Steven N. Austad (3 shared papers)Keith Maslin (1 shared paper)Holly Van Remmen (1 shared paper)Gene B. Hubbard (1 shared paper)Lauren Sloane (1 shared paper)Martin A. Javors (1 shared paper)Kathleen E. Fischer (1 shared paper)Yiqiang Zhang (1 shared paper)
- Journals
- The Journals of Gerontology Series A (1 paper)Cellular Reprogramming (1 paper)Current Biology (1 paper)Molecular Biology and Evolution (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Stephen Treaster
9 papers receiving 342 citations
Peers
Comparison fields: 5 of 69
- Aging 156
- Endocrine and Autonomic Systems 54
- Geriatrics and Gerontology 20
- Physiology 115
- Molecular Biology 181
Countries citing papers authored by Stephen Treaster
This map shows the geographic impact of Stephen Treaster'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 Stephen Treaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Treaster more than expected).
Fields of papers citing papers by Stephen Treaster
This network shows the impact of papers produced by Stephen Treaster. 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 Stephen Treaster. The network helps show where Stephen Treaster may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Treaster, 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 | 2013 | 219 | |
| 2 | 2013 | 50 | |
| 3 | 2020 | 18 | |
| 4 | 2010 | 14 | |
| 5 | 2023 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 10 | |
| 8 | 2021 | 7 | |
| 9 | 2015 | 5 |
About Stephen Treaster
Stephen Treaster is a scholar working on Molecular Biology, Aging, Physiology, Genetics and Endocrine and Autonomic Systems, having authored 9 papers that have together received 344 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Pluripotent Stem Cells Research (2 papers), Heat shock proteins research (2 papers), Genetic diversity and population structure (2 papers), Single-cell and spatial transcriptomics (1 paper), Muscle Physiology and Disorders (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Aging (156 citations), Endocrine and Autonomic Systems (54 citations), Geriatrics and Gerontology (20 citations), Physiology (115 citations) and Molecular Biology (181 citations). Stephen Treaster has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Steven N. Austad, Keith Maslin, Holly Van Remmen, Gene B. Hubbard, Lauren Sloane, Martin A. Javors, Kathleen E. Fischer, Yiqiang Zhang, Alex Bokov and Vivian Diaz. Their work appears in journals such as The Journals of Gerontology Series A, Cellular Reprogramming, Current Biology, Molecular Biology and Evolution and Frontiers in Genetics.
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.