Louise Matthews
- Infectious Diseases top 1%
- Agronomy and Crop Science top 0.5%
- Endocrinology top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Food Science top 1%
- Co-authors
- Mark WoolhouseMargo Chase‐ToppingDaniel T. HaydonDarren J. ShawJ. W. WilesmithDavid L. GallyMatt J. KeelingStephen J. Cornell
- Topics
- Animal Disease Management and Epidemiology (26 papers)Salmonella and Campylobacter epidemiology (18 papers)Antibiotic Resistance in Bacteria (16 papers)
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
Louise Matthews
99 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 1.2k
- Agronomy and Crop Science 1.1k
- Endocrinology 804
- Public Health, Environmental and Occupational Health 661
- Food Science 658
Countries citing papers authored by Louise Matthews
This map shows the geographic impact of Louise Matthews'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 Louise Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise Matthews more than expected).
Fields of papers citing papers by Louise Matthews
This network shows the impact of papers produced by Louise Matthews. 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 Louise Matthews. The network helps show where Louise Matthews may publish in the future.
Co-authorship network of co-authors of Louise Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of Louise Matthews. A scholar is included among the top collaborators of Louise Matthews 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 Louise Matthews. Louise Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 38 | |
| 7 | 8 | |
| 8 | 36 | |
| 9 | Virus–virus interactions impact the population dynamics of influenza and the common coldbreakdown → | 340 |
| 10 | 92 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 21 | |
| 14 | 21 | |
| 15 | 33 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 34 | |
| 19 | 3 | |
| 20 | 65 |
About Louise Matthews
Louise Matthews is a scholar working on Applied Microbiology and Biotechnology, Endocrinology and Molecular Medicine, having authored 101 papers that have together received 4.3k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (26 papers), Salmonella and Campylobacter epidemiology (18 papers) and Antibiotic Resistance in Bacteria (16 papers). The work is most often cited by research in Endocrinology (804 citations), Agronomy and Crop Science (1.1k citations) and Modeling and Simulation (477 citations). Louise Matthews has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Mark Woolhouse, Margo Chase‐Topping, Daniel T. Haydon, Darren J. Shaw, J. W. Wilesmith, David L. Gally, Matt J. Keeling, Stephen J. Cornell, Bryan T. Grenfell and S. W. J. Reid. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.