Louise Matthews

6.5k total citations · 2 hit papers
101 papers, 4.3k citations indexed

About

Louise Matthews is a scholar working on Agronomy and Crop Science, Food Science and Infectious Diseases. According to data from OpenAlex, Louise Matthews has authored 101 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Agronomy and Crop Science, 21 papers in Food Science and 17 papers in Infectious Diseases. Recurrent topics in Louise Matthews's work include Animal Disease Management and Epidemiology (26 papers), Salmonella and Campylobacter epidemiology (18 papers) and Antibiotic Resistance in Bacteria (16 papers). Louise Matthews is often cited by papers focused on Animal Disease Management and Epidemiology (26 papers), Salmonella and Campylobacter epidemiology (18 papers) and Antibiotic Resistance in Bacteria (16 papers). Louise Matthews collaborates with scholars based in United Kingdom, United States and Tanzania. Louise Matthews's co-authors include Mark Woolhouse, Margo Chase‐Topping, Daniel T. Haydon, Darren J. Shaw, J. W. Wilesmith, David L. Gally, Matt J. Keeling, Bryan T. Grenfell, Stephen J. Cornell and S. W. J. Reid and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Louise Matthews

99 papers receiving 4.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamics of the 2001 UK Foot and Mouth Epidemic: Stochastic Dispersal in a Heterogeneous Landscape

2001 687 citations Mark Woolhouse, Darren J. Shaw et al. profile →
Virus–virus interactions impact the population dynamics of influenza and the common cold

2019 340 citations Sema Nickbakhsh, Colette Mair et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Louise Matthews United Kingdom	34	1.2k	1.1k	804	661	658	101	4.3k
Margo Chase‐Topping United Kingdom	30	1.3k 1.1×	996 0.9×	909 1.1×	708 1.1×	568 0.9×	83	3.7k
Darren J. Shaw United Kingdom	40	1.4k 1.2×	1.2k 1.1×	578 0.7×	811 1.2×	364 0.6×	200	6.3k
Helmut Hotzel Germany	41	1.7k 1.5×	592 0.5×	347 0.4×	283 0.4×	723 1.1×	170	4.8k
Malcolm Bennett United Kingdom	37	1.4k 1.2×	398 0.4×	311 0.4×	607 0.9×	293 0.4×	95	4.2k
Jeff B. Bender United States	34	1.8k 1.5×	603 0.5×	834 1.0×	459 0.7×	2.0k 3.1×	126	4.4k
George J. Gunn United Kingdom	35	1.9k 1.6×	1.8k 1.6×	1.6k 2.0×	306 0.5×	1.1k 1.7×	135	4.4k
Tim E. Carpenter United States	38	937 0.8×	2.0k 1.8×	232 0.3×	678 1.0×	285 0.4×	187	5.0k
Julio Álvarez Spain	37	2.6k 2.2×	924 0.8×	319 0.4×	443 0.7×	595 0.9×	207	4.6k
Jacques Godfroid Norway	39	661 0.6×	1.3k 1.2×	533 0.7×	367 0.6×	2.5k 3.8×	153	6.6k
Ana Carolina Paulo Vicente Brazil	33	693 0.6×	294 0.3×	875 1.1×	303 0.5×	314 0.5×	167	3.4k

Countries citing papers authored by Louise Matthews

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rostal, Melinda K., Peter N. Thompson, Assaf Anyamba, et al.. (2025). Rift Valley fever epidemiology: shifting the paradigm and rethinking research priorities. The Lancet Planetary Health. 9(9). 101299–101299. 1 indexed citations

Lembo, Tiziana, et al.. (2022). Quantifying farmers’ preferences for antimicrobial use for livestock diseases in northern Tanzania. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 3(1). 4 indexed citations

Turkay, Çağatay, et al.. (2022). Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response. Computer Graphics Forum. 41(3). 29–41. 3 indexed citations

Hernandez-Castro, Luis E., Anita G. Villacís, Arne Jacobs, et al.. (2022). Population genomics and geographic dispersal in Chagas disease vectors: Landscape drivers and evidence of possible adaptation to the domestic setting. PLoS Genetics. 18(2). e1010019–e1010019. 7 indexed citations

Silago, Vitus, Jeremiah Seni, Louise Matthews, et al.. (2021). Existence of Multiple ESBL Genes among Phenotypically Confirmed ESBL Producing Klebsiella pneumoniae and Escherichia coli Concurrently Isolated from Clinical, Colonization and Contamination Samples from Neonatal Units at Bugando Medical Center, Mwanza, Tanzania. Antibiotics. 10(5). 476–476. 38 indexed citations

Mshana, Stephen E., et al.. (2021). Developing practical clinical tools for predicting neonatal mortality at a neonatal intensive care unit in Tanzania. BMC Pediatrics. 21(1). 537–537. 7 indexed citations

Murugan, S., Mark A. Caudell, Colette Mair, et al.. (2020). Antimicrobial resistant enteric bacteria are widely distributed amongst people, animals and the environment in Tanzania. Nature Communications. 11(1). 228–228. 75 indexed citations

Nickbakhsh, Sema, Colette Mair, Louise Matthews, et al.. (2019). Virus–virus interactions impact the population dynamics of influenza and the common cold. Proceedings of the National Academy of Sciences. 116(52). 27142–27150. 340 indexed citations breakdown →

Caudell, Mark A., Colette Mair, S. Murugan, et al.. (2018). Identification of risk factors associated with carriage of resistant Escherichia coli in three culturally diverse ethnic groups in Tanzania: a biological and socioeconomic analysis. The Lancet Planetary Health. 2(11). e489–e497. 54 indexed citations

10.

Mair, Colette, M.J. Stear, P. Johnson, et al.. (2015). A Bayesian generalized random regression model for estimating heritability using overdispersed count data. Genetics Selection Evolution. 47(1). 51–51. 9 indexed citations

11.

Nickbakhsh, Sema, Louise Matthews, Jennifer E. Dent, et al.. (2013). Implications of within-farm transmission for network dynamics: Consequences for the spread of avian influenza. Epidemics. 5(2). 67–76. 21 indexed citations

12.

Kleczkowski, A., et al.. (2012). Characterising Livestock System Zoonoses Hotspots. Stirling Online Research Repository (University of Stirling). 2 indexed citations

13.

Chase‐Topping, Margo, Lesley Allison, Emily Courcier, et al.. (2012). Pathogenic Potential to Humans of BovineEscherichia coliO26, Scotland. Emerging infectious diseases. 18(3). 439–448. 29 indexed citations

14.

Mather, Alison E., Matthew Denwood, Daniel T. Haydon, et al.. (2011). The Prevalences of Salmonella Genomic Island 1 Variants in Human and Animal Salmonella Typhimurium DT104 Are Distinguishable Using a Bayesian Approach. PLoS ONE. 6(11). e27220–e27220. 12 indexed citations

15.

Reeve, Richard, Belinda Blignaut, J J Esterhuysen, et al.. (2010). Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus. PLoS Computational Biology. 6(12). e1001027–e1001027. 58 indexed citations

16.

O’Reilly, Kathleen, J. C. Low, Matthew Denwood, et al.. (2010). Associations between the Presence of Virulence Determinants and the Epidemiology and Ecology of Zoonotic Escherichia coli. Applied and Environmental Microbiology. 76(24). 8110–8116. 10 indexed citations

17.

Townsend, Sunny E., Scott Newey, Simon Thirgood, Louise Matthews, & Daniel T. Haydon. (2009). Can parasites drive population cycles in mountain hares?. Proceedings of the Royal Society B Biological Sciences. 276(1662). 1611–1617. 11 indexed citations

18.

Denwood, Matthew, S. W. J. Reid, S. Love, et al.. (2009). Comparison of three alternative methods for analysis of equine Faecal Egg Count Reduction Test data. Preventive Veterinary Medicine. 93(4). 316–323. 34 indexed citations

19.

Haydon, Daniel T., Margo Chase‐Topping, Darren J. Shaw, et al.. (2003). The construction and analysis of epidemic trees with reference to the 2001 UK foot–and–mouth outbreak. Proceedings of the Royal Society B Biological Sciences. 270(1511). 121–127. 125 indexed citations

20.

Matthews, Louise, et al.. (1998). Isolation of E coli O157 from a calf with dysentery.. PubMed. 143(2). 56–56. 7 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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