Robert G. Boyle
Impact in
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- Computational Drug Discovery Methods
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- Receptor Mechanisms and Signaling
- PI3K/AKT/mTOR signaling in cancer
- DNA Repair Mechanisms
Papers in
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- Protein Degradation and Inhibitors 2
- Biochemical and Molecular Research 2
- Advanced biosensing and bioanalysis techniques 1
- DNA Repair Mechanisms 1
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- Microtubule and mitosis dynamics 3
- Co-authors
- Michelle D. Garrett (2 shared papers)Valério Berdini (2 shared papers)Thomas G. Davies (2 shared papers)Robert Downham (2 shared papers)Paul G. Wyatt (1 shared paper)Marcel L. Verdonk (1 shared paper)David Barford (1 shared paper)Robin A. E. Carr (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Journal of Peptide Science (2 papers)Neuropsychopharmacology (1 paper)ACS Omega (1 paper)Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Robert G. Boyle
8 papers receiving 298 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 76
- Molecular Biology 237
- Organic Chemistry 74
- Cell Biology 37
- Cellular and Molecular Neuroscience 37
Countries citing papers authored by Robert G. Boyle
This map shows the geographic impact of Robert G. Boyle'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 Robert G. Boyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Boyle more than expected).
Fields of papers citing papers by Robert G. Boyle
This network shows the impact of papers produced by Robert G. Boyle. 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 Robert G. Boyle. The network helps show where Robert G. Boyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert G. Boyle, 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 | 2007 | 110 | |
| 2 | 2015 | 48 | |
| 3 | 2007 | 47 | |
| 4 | 2015 | 36 | |
| 5 | 2004 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2004 | 17 | |
| 8 | 2019 | 7 |
About Robert G. Boyle
Robert G. Boyle is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Oncology and Genetics, having authored 8 papers that have together received 313 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Protein Degradation and Inhibitors (2 papers), Biochemical and Molecular Research (2 papers), Cancer-related Molecular Pathways (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Quinazolinone synthesis and applications (1 paper), Click Chemistry and Applications (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (76 citations), Molecular Biology (237 citations), Organic Chemistry (74 citations), Cell Biology (37 citations) and Cellular and Molecular Neuroscience (37 citations). Robert G. Boyle has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Michelle D. Garrett, Valério Berdini, Thomas G. Davies, Robert Downham, Paul G. Wyatt, Marcel L. Verdonk, David Barford, Robin A. E. Carr, Steven J. Woodhead and Gordon Saxty. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Peptide Science, Neuropsychopharmacology, ACS Omega and Cancer 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.