Mathew Stanley
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- Histone Deacetylase Inhibitors Research
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- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
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- Ubiquitin and proteasome pathways 6
- Glycosylation and Glycoproteins Research 4
- Protein Degradation and Inhibitors 4
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- Carbohydrate Chemistry and Synthesis 4
- Co-authors
- Satpal Virdee (6 shared papers)Nicola T. Wood (3 shared papers)Peter D. Mabbitt (2 shared papers)Axel Knebel (2 shared papers)Daan M. F. van Aalten (3 shared papers)Kay Hofmann (1 shared paper)Ramasubramanian Sundaramoorthy (1 shared paper)Karim Rafie (1 shared paper)
- Journals
- Nature Chemical Biology (2 papers)Journal of Biological Chemistry (2 papers)ACS Chemical Biology (1 paper)Aging Neuropsychology and Cognition (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Mathew Stanley
15 papers receiving 507 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 394
- Oncology 134
- Epidemiology 111
- Organic Chemistry 63
- Immunology 40
Countries citing papers authored by Mathew Stanley
This map shows the geographic impact of Mathew Stanley'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 Mathew Stanley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew Stanley more than expected).
Fields of papers citing papers by Mathew Stanley
This network shows the impact of papers produced by Mathew Stanley. 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 Mathew Stanley. The network helps show where Mathew Stanley may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathew Stanley, 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 | 2018 | 217 | |
| 2 | 2016 | 93 | |
| 3 | 2020 | 58 | |
| 4 | 2015 | 23 | |
| 5 | 2016 | 23 | |
| 6 | 2020 | 18 | |
| 7 | 2012 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2011 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2011 | 3 | |
| 15 | 2011 | 2 |
About Mathew Stanley
Mathew Stanley is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Infectious Diseases and Epidemiology, having authored 15 papers that have together received 510 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Glycosylation and Glycoproteins Research (4 papers), Protein Degradation and Inhibitors (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Peptidase Inhibition and Analysis (3 papers), Influenza Virus Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Molecular Biology (394 citations), Oncology (134 citations), Epidemiology (111 citations), Organic Chemistry (63 citations) and Immunology (40 citations). Mathew Stanley has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Satpal Virdee, Nicola T. Wood, Peter D. Mabbitt, Axel Knebel, Daan M. F. van Aalten, Kay Hofmann, Ramasubramanian Sundaramoorthy, Karim Rafie, Cong Han and Paul Murphy. Their work appears in journals such as Nature Chemical Biology, Journal of Biological Chemistry, ACS Chemical Biology, Aging Neuropsychology and Cognition and European Journal of Medicinal Chemistry.
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.