Matthew J. Wade
- Infectious Diseases top 5%
- Biomedical Engineering
- Pollution top 5%
- Molecular Biology
- Environmental Engineering top 5%
- Co-authors
- Jan DolfingRussell J. DavenportJasmine M. S. GrimsleyElizabeth HeidrichDavey L. JonesKata FarkasPaola MeynetDavid Werner
- Topics
- SARS-CoV-2 detection and testing (27 papers)SARS-CoV-2 and COVID-19 Research (10 papers)Biosensors and Analytical Detection (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- United KingdomAustraliaCanada
In The Last Decade
Matthew J. Wade
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Infectious Diseases 324
- Biomedical Engineering 226
- Pollution 208
- Molecular Biology 163
- Environmental Engineering 157
Countries citing papers authored by Matthew J. Wade
This map shows the geographic impact of Matthew J. Wade'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 Matthew J. Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Wade more than expected).
Fields of papers citing papers by Matthew J. Wade
This network shows the impact of papers produced by Matthew J. Wade. 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 Matthew J. Wade. The network helps show where Matthew J. Wade may publish in the future.
Co-authorship network of co-authors of Matthew J. Wade
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Wade. A scholar is included among the top collaborators of Matthew J. Wade based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Wade. Matthew J. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 15 | |
| 12 | 47 | |
| 13 | 29 | |
| 14 | 31 | |
| 15 | 15 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 25 | |
| 19 | 10 | |
| 20 | 58 |
About Matthew J. Wade
Matthew J. Wade is a scholar working on Infectious Diseases, Modeling and Simulation and Pollution, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (27 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Biosensors and Analytical Detection (10 papers). The work is most often cited by research in Pollution (208 citations), Infectious Diseases (324 citations) and Applied Microbiology and Biotechnology (24 citations). Matthew J. Wade has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Jan Dolfing, Russell J. Davenport, Jasmine M. S. Grimsley, Elizabeth Heidrich, Davey L. Jones, Kata Farkas, Paola Meynet, David Werner, Jing Chen and Orkun S. Soyer. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.