Gary Fairley
Impact in
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- Click Chemistry and Applications
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- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Synthesis of heterocyclic compounds 3
- Click Chemistry and Applications 2
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- Protein Degradation and Inhibitors 2
- Chemical Synthesis and Analysis 2
- Co-authors
- Jason G. Kettle (3 shared papers)Ryan Greenwood (5 shared papers)Paul Faulder (2 shared papers)Shaun Fillery (3 shared papers)Michael J. James (2 shared papers)J.E. Debreczeni (2 shared papers)Richard A. Ward (2 shared papers)Nicola Colclough (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Tetrahedron Letters (2 papers)The Journal of Organic Chemistry (2 papers)Synlett (1 paper)Organic Letters (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Gary Fairley
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 58
- Organic Chemistry 135
- Molecular Biology 229
- Computational Theory and Mathematics 44
- Oncology 44
- Pharmaceutical Science 8
Countries citing papers authored by Gary Fairley
This map shows the geographic impact of Gary Fairley'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 Gary Fairley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Fairley more than expected).
Fields of papers citing papers by Gary Fairley
This network shows the impact of papers produced by Gary Fairley. 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 Gary Fairley. The network helps show where Gary Fairley may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Fairley, 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 | 2015 | 98 | |
| 2 | 2015 | 79 | |
| 3 | 2012 | 45 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 26 | |
| 6 | 2001 | 14 | |
| 7 | 2020 | 14 | |
| 8 | 2025 | 13 | |
| 9 | 2013 | 8 | |
| 10 | 2016 | 6 | |
| 11 | 2013 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2018 | 0 |
About Gary Fairley
Gary Fairley is a scholar working on Organic Chemistry, Molecular Biology, Inorganic Chemistry, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 341 indexed citations. Recurring topics across this work include Synthesis of heterocyclic compounds (3 papers), Click Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Computational Drug Discovery Methods (2 papers), Chemical Synthesis and Analysis (2 papers), Peptidase Inhibition and Analysis (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Organic Chemistry (135 citations), Molecular Biology (229 citations), Computational Theory and Mathematics (44 citations), Oncology (44 citations) and Pharmaceutical Science (8 citations). Gary Fairley has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Jason G. Kettle, Ryan Greenwood, Paul Faulder, Shaun Fillery, Michael J. James, J.E. Debreczeni, Richard A. Ward, Nicola Colclough, M. A. Graham and Alexander L. Breeze. Their work appears in journals such as Journal of Medicinal Chemistry, Tetrahedron Letters, The Journal of Organic Chemistry, Synlett and Organic Letters.
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.