Timothy Russell

21.3k total citations
28 papers, 728 citations indexed

About

Timothy Russell is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Timothy Russell has authored 28 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 12 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Timothy Russell's work include COVID-19 epidemiological studies (13 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Influenza Virus Research Studies (6 papers). Timothy Russell is often cited by papers focused on COVID-19 epidemiological studies (13 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Influenza Virus Research Studies (6 papers). Timothy Russell collaborates with scholars based in United Kingdom, United States and Singapore. Timothy Russell's co-authors include W. John Edmunds, Adam J. Kucharski, Christopher I Jarvis, Joel Hellewell, Mark Jit, Rosalind M. Eggo, Stefan Flasche, Sam Abbott, Kevin van Zandvoort and Ruwan Ratnayake and has published in prestigious journals such as The Lancet, Nature Communications and Current Biology.

In The Last Decade

Timothy Russell

24 papers receiving 709 citations

Peers

Timothy Russell

EPIDE

ONCOL

Wongyeong Choi South Korea

Noémie Lefrancq France

Noémie Courtejoie France

Yiseul Lee United States

Kevin Hunt Ireland

Áine B. Collins Ireland

Cécile Tran Kiem France

Miriam Casey-Bryars Ireland

Dongxuan Chen Hong Kong

Kylie E. C. Ainslie United Kingdom

Wongyeong Choi South Korea

Timothy Russell

410 ×0.9

272 ×0.8

169 ×1.1

85 ×0.8

EPIDE

67 ×0.9

ONCOL

Citations per year, relative to Timothy Russell Timothy Russell (= 1×) peers Wongyeong Choi

Countries citing papers authored by Timothy Russell

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Russell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Russell

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Russell. A scholar is included among the top collaborators of Timothy Russell 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 Timothy Russell. Timothy Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Russell, Timothy, et al.. (2025). Estimates of epidemiological parameters for H5N1 influenza in humans: a rapid review. BMC Infectious Diseases. 25(1). 1755–1755.

Kucharski, Adam J., Timothy Russell, Joel Hellewell, et al.. (2024). SARS-CoV-2 Dynamics in the English Premier League Testing Program. Emerging infectious diseases. 30(9). 1975–1977.

Derelle, Romain, Joel Hellewell, Timothy Russell, et al.. (2024). Seamless, rapid, and accurate analyses of outbreak genomic data using splitk-mer analysis. Genome Research. 34(10). 1661–1673. 14 indexed citations

Lees, John A., Timothy Russell, Liam P. Shaw, & Joel Hellewell. (2024). Recent approaches in computational modelling for controlling pathogen threats. Life Science Alliance. 7(9). e202402666–e202402666. 3 indexed citations

Pung, Rachael, Josh A. Firth, Timothy Russell, et al.. (2024). Temporal contact patterns and the implications for predicting superspreaders and planning of targeted outbreak control. Journal of The Royal Society Interface. 21(221). 20240358–20240358. 2 indexed citations

Kucharski, Adam J., Maïté Aubry, Anita Teissier, et al.. (2023). Real-time surveillance of international SARS-CoV-2 prevalence using systematic traveller arrival screening: An observational study. PLoS Medicine. 20(9). e1004283–e1004283. 4 indexed citations

Pung, Rachael, et al.. (2023). Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study. BMC Medicine. 21(1). 97–97. 7 indexed citations

Chapman, Lloyd A. C., Maïté Aubry, Timothy Russell, et al.. (2023). Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia. Nature Communications. 14(1). 7330–7330. 1 indexed citations

Owusu‐Boaitey, Nana, Timothy Russell, Gideon Meyerowitz‐Katz, Andrew Levin, & Daniel Herrera. (2023). Dynamics of SARS-CoV-2 seroassay sensitivity: a systematic review and modelling study. Eurosurveillance. 28(21). 5 indexed citations

10.

Waites, William, Matteo Cavaliere, Vincent Danos, et al.. (2022). Compositional modelling of immune response and virus transmission dynamics. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2233). 20210307–20210307. 10 indexed citations

11.

Kucharski, Adam J., Mark Jit, James G. Logan, et al.. (2022). Travel measures in the SARS-CoV-2 variant era need clear objectives. The Lancet. 399(10333). 1367–1369. 12 indexed citations

12.

Waites, William, Matteo Cavaliere, Ruchira S. Datta, et al.. (2021). Compositional modelling of immune response and virus transmission dynamics. arXiv (Cornell University). 1 indexed citations

13.

Russell, Timothy, et al.. (2021). Absence of “selfish herd” dynamics in bird flocks under threat. Current Biology. 31(14). 3192–3198.e7. 37 indexed citations

14.

Clifford, Samuel, Billy J. Quilty, Timothy Russell, et al.. (2021). Strategies to reduce the risk of SARS-CoV-2 importation from international travellers: modelling estimations for the United Kingdom, July 2020. Eurosurveillance. 26(39). 18 indexed citations

15.

Hellewell, Joel, Timothy Russell, Rupert Beale, et al.. (2021). Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections. BMC Medicine. 19(1). 106–106. 77 indexed citations

16.

Davies, Nicholas G., Rosanna C. Barnard, Christopher I Jarvis, et al.. (2020). Association of tiered restrictions and a second lockdown with COVID-19 deaths and hospital admissions in England: a modelling study. The Lancet Infectious Diseases. 21(4). 482–492. 85 indexed citations

17.

Russell, Timothy, et al.. (2020). Effect of internationally imported cases on internal spread of COVID-19: a mathematical modelling study. The Lancet Public Health. 6(1). e12–e20. 122 indexed citations

18.

Prem, Kiesha, Yang Liu, Timothy Russell, et al.. (2020). The Effect of Control Strategies that Reduce Social Mixing on Outcomes of the COVID-19 Epidemic in Wuhan, China. SSRN Electronic Journal. 9 indexed citations

19.

Úbeda, Francisco, Timothy Russell, & Vincent A. A. Jansen. (2019). PRDM9 and the evolution of recombination hotspots. Theoretical Population Biology. 126. 19–32. 6 indexed citations

20.

Russell, Timothy, et al.. (2018). Non-genetic and genetic risk factors for adult cerebral venous thrombosis. Thrombosis Research. 169. 15–22. 35 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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