Matthew Baylis
Impact in
- Agronomy and Crop Science top 0.05%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 0.2%
- Viral Infections and Vectors
Papers in
-
- Animal Disease Management and Epidemiology 70
-
- Viral Infections and Vectors 93
- Co-authors
- P. S. MellorJ. BoormanE. J. WittmannPhilip S. MellorK. Marie McIntyreBethan V. PurseWilfred GoldmannCyril Caminade
- Journals
- Medical and Veterinary Entomology (19 papers)Veterinary Record (15 papers)Parasites & Vectors (13 papers)Scientific Reports (7 papers)PLoS ONE (7 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Matthew Baylis
190 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Agronomy and Crop Science 3.2k
- Infectious Diseases 3.8k
- Ecology, Evolution, Behavior and Systematics 3.8k
- Parasitology 736
- Small Animals 491
Countries citing papers authored by Matthew Baylis
This map shows the geographic impact of Matthew Baylis'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 Baylis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Baylis more than expected).
Fields of papers citing papers by Matthew Baylis
This network shows the impact of papers produced by Matthew Baylis. 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 Baylis. The network helps show where Matthew Baylis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Baylis, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 14 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 40 | |
| 14 | 2019 | 38 | |
| 15 | 2019 | 9 | |
| 16 | 2016 | 15 | |
| 17 | 2016 | 11 | |
| 18 | 2012 | 275 | |
| 19 | Results of a postal survey in 2002 into the occurrence of scrapie in Great Britain. | 2004 | 24 |
| 20 | 2000 | 117 |
About Matthew Baylis
Matthew Baylis is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Parasitology and Public Health, Environmental and Occupational Health, having authored 196 papers that have together received 8.0k indexed citations. Recurring topics across this work include Viral Infections and Vectors (93 papers), Vector-Borne Animal Diseases (79 papers), Animal Disease Management and Epidemiology (70 papers), Mosquito-borne diseases and control (33 papers), Agriculture and Farm Safety (25 papers), Zoonotic diseases and public health (22 papers), Prion Diseases and Protein Misfolding (20 papers) and Vector-borne infectious diseases (14 papers). The work is most often cited by research in Agronomy and Crop Science (3.2k citations), Infectious Diseases (3.8k citations), Ecology, Evolution, Behavior and Systematics (3.8k citations), Parasitology (736 citations) and Small Animals (491 citations). Matthew Baylis has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include P. S. Mellor, J. Boorman, E. J. Wittmann, Philip S. Mellor, K. Marie McIntyre, Bethan V. Purse, Wilfred Goldmann, Cyril Caminade, Peter Mertens and David J. Rogers. Their work appears in journals such as Medical and Veterinary Entomology, Veterinary Record, Parasites & Vectors, Scientific Reports and PLoS ONE.
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.