Tim Davies
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- Ubiquitin and proteasome pathways 1
-
- Microtubule and mitosis dynamics 8
- Cellular Mechanics and Interactions 3
- Cellular transport and secretion 2
- Co-authors
- Masanori Mishima (5 shared papers)Nimesh Joseph (1 shared paper)Max E. Douglas (1 shared paper)Julie C. Canman (8 shared papers)Mimi Shirasu‐Hiza (6 shared papers)Julien Dumont (7 shared papers)Kian-Yong Lee (1 shared paper)Philippe M. Loiseau (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Developmental Cell (1 paper)Experimental Eye Research (1 paper)Current Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Tim Davies
16 papers receiving 520 citations
Peers
Comparison fields: 5 of 71
- Aging 95
- Cell Biology 288
- Developmental Neuroscience 22
- Molecular Biology 321
- Endocrine and Autonomic Systems 22
Countries citing papers authored by Tim Davies
This map shows the geographic impact of Tim Davies'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 Tim Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Davies more than expected).
Fields of papers citing papers by Tim Davies
This network shows the impact of papers produced by Tim Davies. 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 Tim Davies. The network helps show where Tim Davies may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Davies, 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 | 2010 | 111 | |
| 2 | 2014 | 61 | |
| 3 | 2016 | 46 | |
| 4 | 2002 | 46 | |
| 5 | 2022 | 42 | |
| 6 | 2010 | 38 | |
| 7 | 2012 | 34 | |
| 8 | 2015 | 31 | |
| 9 | 2018 | 28 | |
| 10 | 2018 | 23 | |
| 11 | 1988 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2016 | 11 | |
| 14 | 2020 | 8 | |
| 15 | 2017 | 6 | |
| 16 | 2023 | 1 | |
| 17 | 1957 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2007 | 0 |
About Tim Davies
Tim Davies is a scholar working on Molecular Biology, Cell Biology, Aging, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 524 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Photosynthetic Processes and Mechanisms (3 papers), Cellular Mechanics and Interactions (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Cellular transport and secretion (2 papers), Circadian rhythm and melatonin (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (95 citations), Cell Biology (288 citations), Developmental Neuroscience (22 citations), Molecular Biology (321 citations) and Endocrine and Autonomic Systems (22 citations). Tim Davies has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Masanori Mishima, Nimesh Joseph, Max E. Douglas, Julie C. Canman, Mimi Shirasu‐Hiza, Julien Dumont, Kian-Yong Lee, Philippe M. Loiseau, Isabel M. Palacios and David Hunt. Their work appears in journals such as The Journal of Cell Biology, Developmental Cell, Experimental Eye Research, Current Biology and Cell Reports.
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.