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
- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
Papers in
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- Protein Degradation and Inhibitors 2
- Chemical Synthesis and Analysis 2
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- Synthesis of heterocyclic compounds 2
- Click Chemistry and Applications 2
- Co-authors
- Jason G. Kettle (3 shared papers)Paul Faulder (2 shared papers)Shaun Fillery (3 shared papers)Ryan Greenwood (4 shared papers)M. A. Graham (3 shared papers)Michael J. James (2 shared papers)Richard A. Ward (2 shared papers)J.E. Debreczeni (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)The Journal of Organic Chemistry (2 papers)European Journal of Organic Chemistry (1 paper)ACS Medicinal Chemistry Letters (1 paper)Tetrahedron Letters (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Gary Fairley
13 papers receiving 317 citations
Peers
Comparison fields: 5 of 57
- Organic Chemistry 130
- Molecular Biology 224
- Computational Theory and Mathematics 45
- Oncology 43
- Inorganic Chemistry 12
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 | 93 | |
| 2 | 2015 | 74 | |
| 3 | 2012 | 45 | |
| 4 | 2015 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 2001 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2025 | 11 | |
| 9 | 2013 | 8 | |
| 10 | 2016 | 5 | |
| 11 | 2013 | 5 | |
| 12 | 2024 | 2 | |
| 13 | 2015 | 1 |
About Gary Fairley
Gary Fairley is a scholar working on Molecular Biology, Organic Chemistry, Inorganic Chemistry, Oncology and Computational Theory and Mathematics, having authored 13 papers that have together received 322 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Synthesis of heterocyclic compounds (2 papers), Chemical Synthesis and Analysis (2 papers), Click Chemistry and Applications (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Organic Chemistry (130 citations), Molecular Biology (224 citations), Computational Theory and Mathematics (45 citations), Oncology (43 citations) and Inorganic Chemistry (12 citations). Gary Fairley has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Jason G. Kettle, Paul Faulder, Shaun Fillery, Ryan Greenwood, M. A. Graham, Michael J. James, Richard A. Ward, J.E. Debreczeni, Nicola Colclough and Paula Perkins. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry, European Journal of Organic Chemistry, ACS Medicinal Chemistry Letters and Tetrahedron 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.