Peter E. Bayliss
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Epigenetics and DNA Methylation 3
- Developmental Biology and Gene Regulation 2
- Protein Tyrosine Phosphatases 1
- Co-authors
- Thomas M. Roberts (6 shared papers)Yang Shi (2 shared papers)Johnathan R. Whetstine (2 shared papers)Fei Lan (2 shared papers)Shigeki Iwase (2 shared papers)Joanne Chung-Yan Chan (4 shared papers)Hank Heng Qi (1 shared paper)Luis de la Torre-Ubieta (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Nature Chemical Biology (1 paper)Molecular and Cellular Biology (1 paper)Clinical Cancer Research (1 paper)mAbs (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Peter E. Bayliss
15 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 85
- Aging 74
- Cell Biology 266
- Molecular Biology 1.2k
- Developmental Neuroscience 49
- Genetics 214
Countries citing papers authored by Peter E. Bayliss
This map shows the geographic impact of Peter E. Bayliss'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 Peter E. Bayliss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Bayliss more than expected).
Fields of papers citing papers by Peter E. Bayliss
This network shows the impact of papers produced by Peter E. Bayliss. 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 Peter E. Bayliss. The network helps show where Peter E. Bayliss may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter E. Bayliss, 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 | 2007 | 640 | |
| 2 | 2007 | 573 | |
| 3 | 2002 | 166 | |
| 4 | 2008 | 137 | |
| 5 | 2006 | 114 | |
| 6 | 2003 | 107 | |
| 7 | 2007 | 73 | |
| 8 | 2000 | 51 | |
| 9 | 2014 | 50 | |
| 10 | 2008 | 46 | |
| 11 | 2006 | 43 | |
| 12 | 2012 | 36 | |
| 13 | 2022 | 28 | |
| 14 | 2014 | 16 | |
| 15 | 2020 | 16 |
About Peter E. Bayliss
Peter E. Bayliss is a scholar working on Aging, Molecular Biology, Physiology, Cell Biology and Immunology and Allergy, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Zebrafish Biomedical Research Applications (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Developmental Biology and Gene Regulation (2 papers), Plant Molecular Biology Research (1 paper), Protein Tyrosine Phosphatases (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Aging (74 citations), Cell Biology (266 citations), Molecular Biology (1.2k citations), Developmental Neuroscience (49 citations) and Genetics (214 citations). Peter E. Bayliss has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Thomas M. Roberts, Yang Shi, Johnathan R. Whetstine, Fei Lan, Shigeki Iwase, Joanne Chung-Yan Chan, Hank Heng Qi, Luis de la Torre-Ubieta, Azad Bonni and Maite Huarte. Their work appears in journals such as PLoS Genetics, Nature Chemical Biology, Molecular and Cellular Biology, Clinical Cancer Research and mAbs.
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.