Tim Hammonds

1.3k citations
12 papers · 546 · h-index 10

Impact in

    • Cancer Cells and Metastasis
    • PARP inhibition in cancer therapy
    • Cancer Genomics and Diagnostics

Papers in

    • Protein Kinase Regulation and GTPase Signaling 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Cellular Mechanics and Interactions 4

Tim Hammonds

12 papers receiving 542 citations

Peers

Tim Hammonds
Comparison fields: 5 of 75
  • Oncology 195
  • Cancer Research 69
  • Molecular Biology 327
  • Cell Biology 60
  • Biophysics 16
Replace Chin Wee Tan with:
Chin Wee Tan Australia
Prerna Malaney United States
Ewelina Dratkiewicz Poland
Patricia Jaaks Germany
Javier Mercapide United States
Hannah Johnson United States
Ghanem E. Ghanem Belgium
Sofia Depner Germany
Kuan Yan Netherlands
C. Moeder United States
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Citations per field
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Citations per year

Countries citing papers authored by Tim Hammonds

Since Specialization
Citations

This map shows the geographic impact of Tim 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 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 Hammonds more than expected).

Fields of papers citing papers by Tim Hammonds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim 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 Hammonds. The network helps show where Tim Hammonds may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Hammonds, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Hammonds Line = papers co-authored together Tim Hammonds links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005209
2 2020162
3 201541
4 200930
5 201121
6 201620
7 201116
8 201515
9 201514
10 20209
11 20158
12 20111

About Tim Hammonds

Tim Hammonds is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Computational Theory and Mathematics and Oncology, having authored 12 papers that have together received 546 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Computational Drug Discovery Methods (3 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Synthesis and biological activity (1 paper), Click Chemistry and Applications (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Oncology (195 citations), Cancer Research (69 citations), Molecular Biology (327 citations), Cell Biology (60 citations) and Biophysics (16 citations). Tim Hammonds has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael J.E. Sternberg, Ian D. Hickson, Frank W. Smart, Grigory L. Dianov, S Houlbrook, Denis Talbot, Jason L. Parsons, Srinivasan Madhusudan, Ian Powley and Gareth J. Miles. Their work appears in journals such as SLAS DISCOVERY, Molecular Cancer Therapeutics, Laboratory Investigation, Oncotarget and MedChemComm.

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.

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