Gareth Wayne
Impact in
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- Alzheimer's disease research and treatments
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- Proteoglycans and glycosaminoglycans research
Papers in ⓘ
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- Advanced biosensing and bioanalysis techniques 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Augustin Amour (4 shared papers)William McDowell (1 shared paper)Jeremy E. Turnbull (1 shared paper)Edwin A. Yates (1 shared paper)Laurie Gordon (2 shared papers)Per Artursson (2 shared papers)Andy West (2 shared papers)André Mateus (2 shared papers)
- Journals
- SLAS DISCOVERY (3 papers)The Journal of Cell Biology (1 paper)Chemical Communications (1 paper)ACS Medicinal Chemistry Letters (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomSwedenCanada
In The Last Decade
Gareth Wayne
13 papers receiving 585 citations
Peers
Comparison fields: 5 of 92
- Physiology 182
- Cell Biology 106
- Computational Theory and Mathematics 94
- Pharmacology 88
- Molecular Biology 291
Countries citing papers authored by Gareth Wayne
This map shows the geographic impact of Gareth Wayne'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 Gareth Wayne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Wayne more than expected).
Fields of papers citing papers by Gareth Wayne
This network shows the impact of papers produced by Gareth Wayne. 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 Gareth Wayne. The network helps show where Gareth Wayne may publish in the future.
Co-authors
The 25 scholars most cited alongside Gareth Wayne, 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 | 2003 | 148 | |
| 2 | 2006 | 133 | |
| 3 | 2017 | 69 | |
| 4 | 2007 | 55 | |
| 5 | 2015 | 43 | |
| 6 | 2006 | 40 | |
| 7 | 2021 | 38 | |
| 8 | 2005 | 16 | |
| 9 | 2002 | 16 | |
| 10 | 2013 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2013 | 4 |
About Gareth Wayne
Gareth Wayne is a scholar working on Molecular Biology, Oncology, Physiology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 13 papers that have together received 605 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Neonatal Respiratory Health Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Physiology (182 citations), Cell Biology (106 citations), Computational Theory and Mathematics (94 citations), Pharmacology (88 citations) and Molecular Biology (291 citations). Gareth Wayne has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include Augustin Amour, William McDowell, Jeremy E. Turnbull, Edwin A. Yates, Laurie Gordon, Per Artursson, Andy West, André Mateus, Wenhui Song and Martin Birchall. Their work appears in journals such as SLAS DISCOVERY, The Journal of Cell Biology, Chemical Communications, ACS Medicinal Chemistry Letters and Journal of Biological 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.