Tim R. Hammonds
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Peptidase Inhibition and Analysis
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- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
Papers in
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- Cellular Mechanics and Interactions 4
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- Protein Kinase Regulation and GTPase Signaling 3
- Melanoma and MAPK Pathways 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Gareth J. Miles (2 shared papers)Lynne M. Howells (2 shared papers)Marion MacFarlane (2 shared papers)Catrin A. Pritchard (2 shared papers)Ian R. Powley (2 shared papers)Ian David Hickson (1 shared paper)Denis Charles Talbot (1 shared paper)Frank W. Smart (1 shared paper)
- Journals
- British Journal of Cancer (2 papers)SLAS DISCOVERY (2 papers)ACS Combinatorial Science (1 paper)Oncotarget (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Tim R. Hammonds
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Oncology 392
- Molecular Biology 744
- Cancer Research 111
- Cell Biology 93
- Immunology 100
Countries citing papers authored by Tim R. Hammonds
This map shows the geographic impact of Tim R. Hammonds'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 R. Hammonds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim R. Hammonds more than expected).
Fields of papers citing papers by Tim R. Hammonds
This network shows the impact of papers produced by Tim R. Hammonds. 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 R. Hammonds. The network helps show where Tim R. Hammonds may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim R. Hammonds, 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 | 2017 | 372 | |
| 2 | 2005 | 209 | |
| 3 | 2020 | 178 | |
| 4 | 2020 | 44 | |
| 5 | 2015 | 43 | |
| 6 | 2009 | 34 | |
| 7 | 2020 | 32 | |
| 8 | 2011 | 23 | |
| 9 | 2016 | 21 | |
| 10 | 2019 | 18 | |
| 11 | 2011 | 17 | |
| 12 | 2015 | 15 | |
| 13 | 2015 | 14 | |
| 14 | 2020 | 11 | |
| 15 | 2015 | 8 |
About Tim R. Hammonds
Tim R. Hammonds is a scholar working on Cell Biology, Molecular Biology, Immunology and Allergy, Oncology and Computational Theory and Mathematics, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Computational Drug Discovery Methods (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer Cells and Metastasis (2 papers), Cell Adhesion Molecules Research (2 papers), Melanoma and MAPK Pathways (2 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (392 citations), Molecular Biology (744 citations), Cancer Research (111 citations), Cell Biology (93 citations) and Immunology (100 citations). Tim R. Hammonds has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Gareth J. Miles, Lynne M. Howells, Marion MacFarlane, Catrin A. Pritchard, Ian R. Powley, Ian David Hickson, Denis Charles Talbot, Frank W. Smart, Jason Luke Parsons and Grigory L. Dianov. Their work appears in journals such as British Journal of Cancer, SLAS DISCOVERY, ACS Combinatorial Science, Oncotarget and Nucleic Acids Research.
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.