Gareth Wayne
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Protein Degradation and Inhibitors 1
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Augustin Amour (4 shared papers)Jeremy E. Turnbull (1 shared paper)Edwin A. Yates (1 shared paper)William McDowell (1 shared paper)Laurie Gordon (2 shared papers)Andy West (2 shared papers)André Mateus (2 shared papers)Per Artursson (2 shared papers)
- Journals
- SLAS DISCOVERY (3 papers)The Journal of Cell Biology (1 paper)PROTEOMICS (1 paper)Laboratory Investigation (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United KingdomSwedenIreland
In The Last Decade
Gareth Wayne
13 papers receiving 621 citations
Peers
Comparison fields: 5 of 93
- Physiology 187
- Cell Biology 109
- Pharmacology 90
- Computational Theory and Mathematics 99
- Molecular Biology 298
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 | 156 | |
| 2 | 2006 | 143 | |
| 3 | 2017 | 74 | |
| 4 | 2007 | 59 | |
| 5 | 2015 | 47 | |
| 6 | 2006 | 41 | |
| 7 | 2021 | 40 | |
| 8 | 2002 | 19 | |
| 9 | 2013 | 17 | |
| 10 | 2005 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 14 | |
| 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 645 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Alzheimer's disease research and treatments (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neonatal Respiratory Health Research (2 papers), Allergic Rhinitis and Sensitization (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Physiology (187 citations), Cell Biology (109 citations), Pharmacology (90 citations), Computational Theory and Mathematics (99 citations) and Molecular Biology (298 citations). Gareth Wayne has collaborated with scholars based in United Kingdom, Sweden and Ireland. Frequent co-authors include Augustin Amour, Jeremy E. Turnbull, Edwin A. Yates, William McDowell, Laurie Gordon, Andy West, André Mateus, Per Artursson, Michael M. Hann and Wenhui Song. Their work appears in journals such as SLAS DISCOVERY, The Journal of Cell Biology, PROTEOMICS, Laboratory Investigation and Journal of Neurochemistry.
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.