Thomas Finnie

736 total citations
26 papers, 444 citations indexed

About

Thomas Finnie is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Thomas Finnie has authored 26 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 10 papers in Infectious Diseases and 8 papers in Epidemiology. Recurrent topics in Thomas Finnie's work include COVID-19 epidemiological studies (12 papers), Viral Infections and Outbreaks Research (7 papers) and Influenza Virus Research Studies (4 papers). Thomas Finnie is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Viral Infections and Outbreaks Research (7 papers) and Influenza Virus Research Studies (4 papers). Thomas Finnie collaborates with scholars based in United Kingdom, United States and Canada. Thomas Finnie's co-authors include Andrew D. M. Dobson, Sarah Randolph, Ian Hall, Christopher Preston, Michael J. Crawley, M. O. Hill, Pertti Uotila, Nick Gent, James D. Calder and Florence K. A. Gregson and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Journal of Applied Ecology.

In The Last Decade

Thomas Finnie

23 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Finnie United Kingdom 7 137 114 75 69 61 26 444
Tove Hoffman Sweden 12 133 1.0× 295 2.6× 85 1.1× 74 1.1× 55 0.9× 22 519
Myrna M.T. de Rooij Netherlands 12 59 0.4× 602 5.3× 75 1.0× 77 1.1× 57 0.9× 29 867
Amandine Gamble United States 12 126 0.9× 215 1.9× 71 0.9× 115 1.7× 35 0.6× 29 480
Locksley L. McV. Messam Ireland 13 74 0.5× 132 1.2× 24 0.3× 6 0.1× 19 0.3× 30 799
Joana Cruz United Kingdom 16 13 0.1× 60 0.5× 49 0.7× 15 0.2× 52 0.9× 32 782
Erin Staples United States 9 23 0.2× 245 2.1× 43 0.6× 23 0.3× 49 0.8× 11 466
Matthew G. Lackemeyer United States 15 215 1.6× 649 5.7× 28 0.4× 144 2.1× 24 0.4× 34 987
Claire Sanderson United States 12 47 0.3× 191 1.7× 32 0.4× 53 0.8× 37 0.6× 23 633
Guillermo Gonzálvez United States 17 38 0.3× 213 1.9× 256 3.4× 19 0.3× 8 0.1× 24 811
Benjamin D. Anderson United States 22 157 1.1× 620 5.4× 127 1.7× 152 2.2× 82 1.3× 49 1.1k

Countries citing papers authored by Thomas Finnie

Since Specialization
Citations

This map shows the geographic impact of Thomas Finnie'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 Thomas Finnie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Finnie more than expected).

Fields of papers citing papers by Thomas Finnie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Finnie. 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 Thomas Finnie. The network helps show where Thomas Finnie may publish in the future.

Co-authorship network of co-authors of Thomas Finnie

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Finnie. A scholar is included among the top collaborators of Thomas Finnie 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 Thomas Finnie. Thomas Finnie 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.
Wigerblad, Gustaf, Sumanta Ray, Thomas Finnie, et al.. (2025). A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data. Frontiers in Immunology. 16. 1654015–1654015.
2.
Lythe, Grant, et al.. (2025). Mechanistic within-host mathematical model of inhalational anthrax. PLoS Computational Biology. 21(9). e1013439–e1013439.
3.
Sánchez-Marroquín, Alberto, et al.. (2024). Combining models to generate a consensus effective reproduction numberRfor the COVID-19 epidemic status in England. Epidemiology and Infection. 152. 4 indexed citations
4.
Mancy, Rebecca, et al.. (2024). Symptom propagation in respiratory pathogens of public health concern: a review of the evidence. Journal of The Royal Society Interface. 21(216). 20240009–20240009. 3 indexed citations
5.
Finnie, Thomas, et al.. (2023). Simplified within-host and Dose–response Models of SARS-CoV-2. Journal of Theoretical Biology. 565. 111447–111447. 5 indexed citations
6.
Panovska‐Griffiths, Jasmina, Nicholas A. Watkins, Luke Hounsome, et al.. (2023). Responsive modelling of the mpox epidemic in England as a cross-government and academia collaboration: the process, challenges, and lessons learned. The Lancet Microbe. 4(9). e658–e660. 6 indexed citations
7.
Hall, Ian, et al.. (2022). Check your assumptions: Further scrutiny of basic model frameworks of antimicrobial resistance. Journal of Theoretical Biology. 554. 111277–111277. 1 indexed citations
8.
9.
Finnie, Thomas, et al.. (2022). Understanding the immunological landscape of England during SARS-CoV2 Omicron variant wave. PLoS ONE. 17(10). e0264870–e0264870. 1 indexed citations
10.
Finnie, Thomas, Emma Bennett, Paul Birrell, et al.. (2022). Risk of paediatric multisystem inflammatory syndrome (PIMS-TS) during the SARS-CoV-2 alpha and delta variant waves: National observational and modelling study, 2020–21, England. Frontiers in Pediatrics. 10. 1034280–1034280. 4 indexed citations
11.
Gregson, Florence K. A., Natalie A. Watson, Christopher M. Orton, et al.. (2021). Comparing aerosol concentrations and particle size distributions generated by singing, speaking and breathing. Aerosol Science and Technology. 55(6). 681–691. 136 indexed citations
12.
López‐García, Martín, et al.. (2021). A Stochastic Intracellular Model of Anthrax Infection With Spore Germination Heterogeneity. Frontiers in Immunology. 12. 688257–688257. 6 indexed citations
13.
Pellis, Lorenzo, et al.. (2021). Insights gained from early modelling of COVID-19 to inform the management of outbreaks in UK prisons. International Journal of Prisoner Health. 17(3). 380–397. 4 indexed citations
14.
Davidson, Louise, et al.. (2020). A controlled cross-over study to evaluate the efficacy of improvised dry and wet emergency decontamination protocols for chemical incidents. PLoS ONE. 15(11). e0239845–e0239845. 19 indexed citations
15.
Finnie, Thomas, et al.. (2020). Culture counts: the diverse effects of culture and society on mental health amidst COVID-19 outbreak in Australia. Irish Journal of Psychological Medicine. 37(3). 237–242. 41 indexed citations
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18.
Finnie, Thomas, Andy South, Ana I. Bento, Ellie Sherrard-Smith, & Thibaut Jombart. (2015). EpiJSON: A unified data-format for epidemiology. Epidemics. 15. 20–26. 6 indexed citations
19.
Finnie, Thomas, Vicky R Copley, Ian Hall, & Stephen Leach. (2013). An analysis of influenza outbreaks in institutions and enclosed societies. Epidemiology and Infection. 142(1). 107–113. 29 indexed citations
20.
Finnie, Thomas, Christopher Preston, M. O. Hill, Pertti Uotila, & Michael J. Crawley. (2007). Floristic elements in European vascular plants: an analysis based onAtlas Florae Europaeae. Journal of Biogeography. 34(11). 1848–1872. 63 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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