Matthew J. Wade

2.4k total citations
59 papers, 1.1k citations indexed

About

Matthew J. Wade is a scholar working on Infectious Diseases, Biomedical Engineering and Ecology. According to data from OpenAlex, Matthew J. Wade has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 12 papers in Biomedical Engineering and 8 papers in Ecology. Recurrent topics in Matthew J. Wade's 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). Matthew J. Wade is often cited by papers focused on SARS-CoV-2 detection and testing (27 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Biosensors and Analytical Detection (10 papers). Matthew J. Wade collaborates with scholars based in United Kingdom, Australia and Canada. Matthew J. Wade's co-authors include Jan Dolfing, Russell J. Davenport, Jasmine M. S. Grimsley, Elizabeth Heidrich, Kata Farkas, Davey L. Jones, David Werner, Paola Meynet, Jing Chen and Orkun S. Soyer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Matthew J. Wade

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew J. Wade United Kingdom 21 324 226 208 163 157 59 1.1k
Francis Hassard United Kingdom 19 239 0.7× 165 0.7× 291 1.4× 94 0.6× 130 0.8× 58 1.2k
Helen Stratton Australia 23 181 0.6× 235 1.0× 454 2.2× 271 1.7× 165 1.1× 64 1.5k
Jiaqi Li China 21 114 0.4× 86 0.4× 184 0.9× 125 0.8× 160 1.0× 69 1.2k
Hyatt Green United States 17 358 1.1× 204 0.9× 126 0.6× 217 1.3× 228 1.5× 29 1.2k
Thomas J. Aspray United Kingdom 20 124 0.4× 121 0.5× 202 1.0× 88 0.5× 75 0.5× 42 905
Jennifer Weidhaas United States 17 306 0.9× 290 1.3× 185 0.9× 87 0.5× 102 0.6× 48 1.0k
Rong Ye China 19 120 0.4× 151 0.7× 151 0.7× 95 0.6× 69 0.4× 68 919
Matthew E. Verbyla United States 20 395 1.2× 136 0.6× 122 0.6× 69 0.4× 106 0.7× 45 1.3k
Brian M. Pecson United States 21 711 2.2× 246 1.1× 155 0.7× 142 0.9× 71 0.5× 38 1.9k
Sophie Courtois France 15 172 0.5× 149 0.7× 283 1.4× 592 3.6× 50 0.3× 25 1.4k

Countries citing papers authored by Matthew J. Wade

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Richard, Hugues, Matthew J. Wade, Shelesh Agrawal, et al.. (2025). Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance. Nature Water. 3(7). 753–763. 2 indexed citations
2.
O’Reilly, Kathleen, Matthew J. Wade, Kata Farkas, et al.. (2025). Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness. Epidemics. 51. 100825–100825. 1 indexed citations
3.
Jones, Natalia R., Richard Elson, Matthew J. Wade, et al.. (2025). Localised wastewater SARS-CoV-2 levels linked to COVID-19 cases: A long-term multisite study in England. The Science of The Total Environment. 962. 178455–178455. 3 indexed citations
4.
Walker, David I., Robert L. Burton, Nicholas Evens, et al.. (2024). Piloting wastewater-based surveillance of norovirus in England. Water Research. 263. 122152–122152. 8 indexed citations
5.
Kasprzyk‐Hordern, Barbara, Kishore Jagadeesan, Natalie Sims, et al.. (2024). Multi-biomarker approach for estimating population size in a national-scale wastewater-based epidemiology study. Water Research. 268(Pt A). 122527–122527.
6.
Hamilton, Katie, Matthew J. Wade, Kayla G. Barnes, Renée Street, & Steve Paterson. (2024). Wastewater-based epidemiology as a public health resource in low- and middle-income settings. Environmental Pollution. 351. 124045–124045. 12 indexed citations
7.
Maloney, Daniel, Nicholas Evens, Jonathan Porter, et al.. (2023). Comparison of metagenomic and targeted methods for sequencing human pathogenic viruses from wastewater. mBio. 14(6). e0146823–e0146823. 26 indexed citations
8.
Li, Guangquan, Hubert Denise, Peter J. Diggle, et al.. (2023). A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic. Environment International. 172. 107765–107765. 13 indexed citations
9.
Kasprzyk‐Hordern, Barbara, Natalie Sims, Kata Farkas, et al.. (2023). Wastewater-based epidemiology for comprehensive community health diagnostics in a national surveillance study: Mining biochemical markers in wastewater. Journal of Hazardous Materials. 450. 130989–130989. 29 indexed citations
10.
Mark, Ole, et al.. (2023). Quantifying Mixing in Sewer Networks for Source Localization. Journal of Environmental Engineering. 149(5). 4 indexed citations
11.
Sweetapple, Chris, Matthew J. Wade, Peter Melville‐Shreeve, et al.. (2023). Dynamic population normalisation in wastewater-based epidemiology for improved understanding of the SARS-CoV-2 prevalence: a multi-site study. Journal of Water and Health. 21(5). 625–642. 14 indexed citations
12.
O’Neill, Paul, Karen Moore, William Rowe, et al.. (2023). Optimised protocol for monitoring SARS-CoV-2 in wastewater using reverse complement PCR-based whole-genome sequencing. PLoS ONE. 18(4). e0284211–e0284211. 9 indexed citations
13.
Schneider, Mariane Yvonne, Sina Borzooei, Andreas Froemelt, et al.. (2022). Hybrid modelling of water resource recovery facilities: status and opportunities. Water Science & Technology. 85(9). 2503–2524. 47 indexed citations
14.
Leonard, Anne Frances Clare, Kata Farkas, David W. Graham, et al.. (2022). Research needs for optimising wastewater-based epidemiology monitoring for public health protection. Journal of Water and Health. 20(9). 1284–1313. 29 indexed citations
15.
Chen, Jing, et al.. (2020). Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis. Journal of The Royal Society Interface. 17(166). 20200053–20200053. 20 indexed citations
16.
Wade, Matthew J.. (2020). Not Just Numbers: Mathematical Modelling and Its Contribution to Anaerobic Digestion Processes. Processes. 8(8). 888–888. 27 indexed citations
17.
Wade, Matthew J., et al.. (2020). Rich dynamics of a three-tiered anaerobic food-web in a chemostat with multiple substrate inflow. Mathematical Biosciences & Engineering. 17(6). 7045–7073. 3 indexed citations
18.
Wade, Matthew J., et al.. (2018). Opportunities for Process Control and Quality Assurance Using Online NIR Analysis to a Continuous Wet Granulation Tableting Line. Journal of Pharmaceutical Innovation. 15(1). 26–40. 10 indexed citations
19.
Petropoulos, Evangelos, Jan Dolfing, Yongjie Yu, et al.. (2018). Lipolysis of domestic wastewater in anaerobic reactors operating at low temperatures. Environmental Science Water Research & Technology. 4(7). 1002–1013. 25 indexed citations
20.
Wade, Matthew J. & Michael A. Johnson. (2004). Towards automatic real-time controller tuning and robustness. 1. 352–359. 5 indexed citations

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.

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