Liam Brierley

2.4k total citations · 1 hit paper
26 papers, 958 citations indexed

About

Liam Brierley is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, Liam Brierley has authored 26 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 11 papers in Public Health, Environmental and Occupational Health and 10 papers in Agronomy and Crop Science. Recurrent topics in Liam Brierley's work include Zoonotic diseases and public health (11 papers), Animal Disease Management and Epidemiology (10 papers) and Viral Infections and Vectors (8 papers). Liam Brierley is often cited by papers focused on Zoonotic diseases and public health (11 papers), Animal Disease Management and Epidemiology (10 papers) and Viral Infections and Vectors (8 papers). Liam Brierley collaborates with scholars based in United Kingdom, United States and Canada. Liam Brierley's co-authors include Mark Woolhouse, Máté Pálfy, Jessica Polka, G.K. Dey, Jonathon Alexis Coates, Federico Nanni, Nicholas Fraser, Kate E. Jones, Samantha Lycett and Florence Mutua and has published in prestigious journals such as Scientific Reports, The American Naturalist and PLoS Biology.

In The Last Decade

Liam Brierley

26 papers receiving 926 citations

Hit Papers

The evolving role of preprints in the dissemination of CO... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liam Brierley United Kingdom 16 320 313 193 154 148 26 958
Piers Millett United Kingdom 10 315 1.0× 186 0.6× 17 0.1× 27 0.2× 14 0.1× 25 597
Atila Iamarino Brazil 11 531 1.7× 576 1.8× 10 0.1× 10 0.1× 33 0.2× 14 953
Victor Del Rio Vilas United Kingdom 21 286 0.9× 292 0.9× 7 0.0× 260 1.7× 8 0.1× 75 1.2k
Cheikh Loucoubar Senegal 18 566 1.8× 559 1.8× 8 0.0× 20 0.1× 8 0.1× 66 1.1k
Nicholas Geard Australia 17 178 0.6× 121 0.4× 7 0.0× 16 0.1× 7 0.0× 87 884
Nathan L. Yozwiak United States 8 265 0.8× 123 0.4× 21 0.1× 30 0.2× 10 0.1× 9 731
Simon Pollett United States 16 443 1.4× 280 0.9× 6 0.0× 41 0.3× 4 0.0× 38 950
Sumiko R. Mekaru United States 23 393 1.2× 472 1.5× 11 0.1× 58 0.4× 2 0.0× 37 1.5k
Donald S. Grant United States 17 657 2.1× 186 0.6× 9 0.0× 29 0.2× 3 0.0× 46 1.1k
Ben Lambert United Kingdom 15 181 0.6× 266 0.8× 4 0.0× 9 0.1× 12 0.1× 59 719

Countries citing papers authored by Liam Brierley

Since Specialization
Citations

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

Fields of papers citing papers by Liam Brierley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liam Brierley

This figure shows the co-authorship network connecting the top 25 collaborators of Liam Brierley. A scholar is included among the top collaborators of Liam Brierley 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 Liam Brierley. Liam Brierley 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.
Brierley, Liam, et al.. (2025). Predicting high confidence ctDNA somatic variants with ensemble machine learning models. Scientific Reports. 15(1). 18384–18384. 1 indexed citations
2.
Brierley, Liam, et al.. (2024). Benchmarking UMI-aware and standard variant callers for low frequency ctDNA variant detection. BMC Genomics. 25(1). 827–827. 3 indexed citations
3.
Lu, Lu, Feifei Zhang, Liam Brierley, et al.. (2024). Temporal Dynamics, Discovery, and Emergence of Human-Transmissible RNA Viruses. Molecular Biology and Evolution. 41(1). 2 indexed citations
4.
Farrell, Maxwell J., et al.. (2024). The changing landscape of text mining: a review of approaches for ecology and evolution. Proceedings of the Royal Society B Biological Sciences. 291(2027). 20240423–20240423. 4 indexed citations
5.
Farrell, Maxwell J., et al.. (2024). The changing landscape of text mining - a review of approaches for ecology and evolution. 1 indexed citations
7.
Poisot, Timothée, Nardus Mollentze, Maxwell J. Farrell, et al.. (2023). Network embedding unveils the hidden interactions in the mammalian virome. Patterns. 4(6). 100738–100738. 8 indexed citations
8.
Gibb, Rory, Gregory F. Albery, Nardus Mollentze, et al.. (2022). Mammal virus diversity estimates are unstable due to accelerating discovery effort. Biology Letters. 18(1). 20210427–20210427. 23 indexed citations
9.
Brierley, Liam, Federico Nanni, Jessica Polka, et al.. (2022). Tracking changes between preprint posting and journal publication during a pandemic. PLoS Biology. 20(2). e3001285–e3001285. 54 indexed citations
10.
Farrell, Maxwell J., et al.. (2022). Past and future uses of text mining in ecology and evolution. Proceedings of the Royal Society B Biological Sciences. 289(1975). 20212721–20212721. 27 indexed citations
11.
Brierley, Liam. (2021). Lessons from the influx of preprints during the early COVID-19 pandemic. The Lancet Planetary Health. 5(3). e115–e117. 30 indexed citations
12.
Brierley, Liam & Anna Fowler. (2021). Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. PLoS Pathogens. 17(4). e1009149–e1009149. 23 indexed citations
13.
Metelmann, Soeren, Liam Brierley, Cyril Caminade, et al.. (2021). Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide. One Health. 12. 100221–100221. 23 indexed citations
14.
Fraser, Nicholas, Liam Brierley, G.K. Dey, et al.. (2021). The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscape. PLoS Biology. 19(4). e3000959–e3000959. 239 indexed citations breakdown →
15.
Zhang, Feifei, Margo Chase‐Topping, Chuan‐Guo Guo, et al.. (2020). Global discovery of human-infective RNA viruses: A modelling analysis. PLoS Pathogens. 16(11). e1009079–e1009079. 9 indexed citations
16.
McGurnaghan, Stuart J., Liam Brierley, Thomas M. Caparrotta, et al.. (2019). The effect of dapagliflozin on glycaemic control and other cardiovascular disease risk factors in type 2 diabetes mellitus: a real-world observational study. Diabetologia. 62(4). 621–632. 30 indexed citations
17.
Brierley, Liam, Amy B. Pedersen, & Mark Woolhouse. (2019). Tissue tropism and transmission ecology predict virulence of human RNA viruses. PLoS Biology. 17(11). e3000206–e3000206. 17 indexed citations
18.
Woolhouse, Mark & Liam Brierley. (2018). Epidemiological characteristics of human-infective RNA viruses. Scientific Data. 5(1). 180017–180017. 61 indexed citations
19.
Woolhouse, Mark, et al.. (2016). Assessing the Epidemic Potential of RNA and DNA Viruses. Emerging infectious diseases. 22(12). 2037–2044. 62 indexed citations
20.
Woolhouse, Mark, et al.. (2013). RNA Viruses: A Case Study of the Biology of Emerging Infectious Diseases. Microbiology Spectrum. 1(1). 53 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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