Terence Davis
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- DNA Repair Mechanisms 20
- Genomics and Chromatin Dynamics 7
- Melanoma and MAPK Pathways 4
- Physiology 20
- Telomeres, Telomerase, and Senescence 19
- Co-authors
- David Kipling (33 shared papers)Mark C. Bagley (20 shared papers)Richard Faragher (7 shared papers)Michal Rokicki (15 shared papers)Dauren Alimbetov (3 shared papers)Elizabeth L. Ostler (2 shared papers)Caroline S. Widdowson (5 shared papers)Sholpan Askarova (2 shared papers)
- Journals
- Biogerontology (6 papers)Hereditas (4 papers)Annals of the New York Academy of Sciences (4 papers)Gene (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Terence Davis
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Aging 137
- Physiology 378
- Molecular Biology 771
- Geriatrics and Gerontology 31
- Cell Biology 157
Countries citing papers authored by Terence Davis
This map shows the geographic impact of Terence Davis'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 Terence Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terence Davis more than expected).
Fields of papers citing papers by Terence Davis
This network shows the impact of papers produced by Terence Davis. 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 Terence Davis. The network helps show where Terence Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Terence Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 137 | |
| 2 | 2015 | 130 | |
| 3 | 2018 | 118 | |
| 4 | 1998 | 95 | |
| 5 | 2006 | 70 | |
| 6 | 2009 | 58 | |
| 7 | 2006 | 55 | |
| 8 | 2007 | 48 | |
| 9 | 2003 | 47 | |
| 10 | 2005 | 39 | |
| 11 | 2007 | 37 | |
| 12 | 2010 | 30 | |
| 13 | 2007 | 29 | |
| 14 | 2013 | 28 | |
| 15 | 2006 | 27 | |
| 16 | 2004 | 26 | |
| 17 | 1995 | 25 | |
| 18 | 2011 | 25 | |
| 19 | 1985 | 24 | |
| 20 | 2008 | 23 |
About Terence Davis
Terence Davis is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Aging, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (20 papers), Telomeres, Telomerase, and Senescence (19 papers), Microtubule and mitosis dynamics (8 papers), Genomics and Chromatin Dynamics (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Neurobiology and Insect Physiology Research (5 papers), Melanoma and MAPK Pathways (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Aging (137 citations), Physiology (378 citations), Molecular Biology (771 citations), Geriatrics and Gerontology (31 citations) and Cell Biology (157 citations). Terence Davis has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include David Kipling, Mark C. Bagley, Richard Faragher, Michal Rokicki, Dauren Alimbetov, Elizabeth L. Ostler, Caroline S. Widdowson, Sholpan Askarova, Bauyrzhan Umbayev and Christopher J. Jones. Their work appears in journals such as Biogerontology, Hereditas, Annals of the New York Academy of Sciences, Gene and Bioorganic & Medicinal Chemistry Letters.
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.