Tom D. Bunney
Impact in
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling
- 14-3-3 protein interactions
- PI3K/AKT/mTOR signaling in cancer
- Photosynthetic Processes and Mechanisms
- Fibroblast Growth Factor Research
- Ubiquitin and proteasome pathways
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
- Cell Biology 13
- Cellular transport and secretion 7
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- Protein Kinase Regulation and GTPase Signaling 20
- Fibroblast Growth Factor Research 8
- PI3K/AKT/mTOR signaling in cancer 8
- Cell death mechanisms and regulation 6
- 14-3-3 protein interactions 6
- Epigenetics and DNA Methylation 4
- Co-authors
- Matilda KatanAlbertus H. de BoerM.B. KatanH.S. van WalravenMichael LevinHans KossDiego EspositoPaul W.J. van den Wijngaard
- Journals
- Journal of Biological Chemistry (3 papers)Structure (3 papers)EBioMedicine (2 papers)FEBS Letters (2 papers)Molecular Cell (2 papers)
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Tom D. Bunney
45 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.9k
- Cell Biology 428
- Biophysics 141
- Immunology 358
- Genetics 148
Countries citing papers authored by Tom D. Bunney
This map shows the geographic impact of Tom D. Bunney'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 Tom D. Bunney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom D. Bunney more than expected).
Fields of papers citing papers by Tom D. Bunney
This network shows the impact of papers produced by Tom D. Bunney. 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 Tom D. Bunney. The network helps show where Tom D. Bunney may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom D. Bunney, 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 | 2022 | 10 | |
| 2 | 2020 | 27 | |
| 3 | 2017 | 7 | |
| 4 | 2015 | 7 | |
| 5 | 2015 | 49 | |
| 6 | 2012 | 230 | |
| 7 | 2012 | 63 | |
| 8 | 2010 | 328 | |
| 9 | 2010 | 149 | |
| 10 | 2009 | 54 | |
| 11 | 2008 | 36 | |
| 12 | 2008 | 8 | |
| 13 | 2008 | 50 | |
| 14 | 2007 | 31 | |
| 15 | 2006 | 111 | |
| 16 | 2006 | 123 | |
| 17 | 2004 | 91 | |
| 18 | 2002 | 49 | |
| 19 | 2001 | 53 | |
| 20 | 2000 | 23 |
About Tom D. Bunney
Tom D. Bunney is a scholar working on Cell Biology, Molecular Biology, Biophysics, Endocrinology and Immunology, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (20 papers), Fibroblast Growth Factor Research (8 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Cellular transport and secretion (7 papers), Cell death mechanisms and regulation (6 papers), 14-3-3 protein interactions (6 papers), Epigenetics and DNA Methylation (4 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Cell Biology (428 citations), Biophysics (141 citations), Immunology (358 citations) and Genetics (148 citations). Tom D. Bunney has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Matilda Katan, Albertus H. de Boer, M.B. Katan, H.S. van Walraven, Michael Levin, Hans Koss, Diego Esposito, Paul W.J. van den Wijngaard, Paul C. Driscoll and Rhona W. Baxendale. Their work appears in journals such as Journal of Biological Chemistry, Structure, EBioMedicine, FEBS Letters and Molecular 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.