Verity Hill

17.6k total citations · 2 hit papers
19 papers, 2.6k citations indexed

About

Verity Hill is a scholar working on Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Verity Hill has authored 19 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Verity Hill's work include SARS-CoV-2 and COVID-19 Research (5 papers), Genomics and Phylogenetic Studies (5 papers) and Mosquito-borne diseases and control (4 papers). Verity Hill is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Genomics and Phylogenetic Studies (5 papers) and Mosquito-borne diseases and control (4 papers). Verity Hill collaborates with scholars based in United Kingdom, United States and Belgium. Verity Hill's co-authors include Andrew Rambaut, Áine O’Toole, Oliver G. Pybus, John T. McCrone, Edward C. Holmes, Louis du Plessis, Christopher Ruis, Guy Baele, Ben Jackson and David M. Aanensen and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Verity Hill

15 papers receiving 2.5k citations

Hit Papers

A dynamic nomenclature proposal for SARS-CoV-2 lineages t... 2020 2026 2022 2024 2020 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verity Hill United Kingdom 11 2.1k 748 445 323 311 19 2.6k
Áine O’Toole United Kingdom 10 2.0k 1.0× 710 0.9× 424 1.0× 262 0.8× 215 0.7× 21 2.3k
John T. McCrone United States 14 2.0k 1.0× 806 1.1× 456 1.0× 277 0.9× 491 1.6× 25 2.7k
Christopher Ruis United Kingdom 12 1.7k 0.8× 768 1.0× 370 0.8× 190 0.6× 330 1.1× 21 2.4k
Barney Potter United States 6 1.3k 0.6× 612 0.8× 235 0.5× 211 0.7× 340 1.1× 10 1.8k
Sidney M. Bell United States 4 1.3k 0.6× 587 0.8× 242 0.5× 203 0.6× 336 1.1× 5 1.8k
James Hadfield United Kingdom 16 1.6k 0.8× 834 1.1× 297 0.7× 284 0.9× 550 1.8× 32 2.8k
Colin Megill United States 3 1.3k 0.6× 574 0.8× 235 0.5× 199 0.6× 313 1.0× 3 1.7k
Charlton Callender United States 3 1.3k 0.6× 573 0.8× 235 0.5× 199 0.6× 319 1.0× 3 1.8k
Thomas P. Peacock United Kingdom 24 2.0k 1.0× 686 0.9× 342 0.8× 149 0.5× 953 3.1× 47 2.9k
Hanzhong Wang China 15 2.0k 0.9× 355 0.5× 646 1.5× 224 0.7× 390 1.3× 30 2.6k

Countries citing papers authored by Verity Hill

Since Specialization
Citations

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

Fields of papers citing papers by Verity Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verity Hill

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

All Works

19 of 19 papers shown
1.
Hill, Verity, Simon Dellicour, Marta Giovanetti, & Nathan D. Grubaugh. (2025). Phylogenetic insights into the transmission dynamics of arthropod-borne viruses. Nature Reviews Genetics. 27(1). 47–61.
2.
Slavov, Svetoslav Nanev, Gabriela Ribeiro, Vinícius Carius de Souza, et al.. (2025). Unravelling dengue serotype 3 transmission in Brazil: evidence for multiple introductions of the 3III_B.3.2 lineage. Virus Evolution. 11(1). veaf034–veaf034.
3.
Grubaugh, Nathan D., Diana Dávalos, Pío López, et al.. (2024). Dengue Outbreak Caused by Multiple Virus Serotypes and Lineages, Colombia, 2023–2024. Emerging infectious diseases. 30(11). 2391–2395. 3 indexed citations
4.
Colquhoun, Rachel, Áine O’Toole, Verity Hill, et al.. (2024). A phylogenetics and variant calling pipeline to support SARS-CoV-2 genomic epidemiology in the UK. Virus Evolution. 10(1). veae083–veae083.
5.
Dellicour, Simon, Samuel L. Hong, Verity Hill, et al.. (2023). Variant-specific introduction and dispersal dynamics of SARS-CoV-2 in New York City – from Alpha to Omicron. PLoS Pathogens. 19(4). e1011348–e1011348. 8 indexed citations
6.
Hill, Verity, George Githinji, Chantal B. F. Vogels, et al.. (2023). Toward a global virus genomic surveillance network. Cell Host & Microbe. 31(6). 861–873. 39 indexed citations
7.
O’Toole, Áine, Verity Hill, Ben Jackson, et al.. (2022). Genomics-informed outbreak investigations of SARS-CoV-2 using civet. SHILAP Revista de lepidopterología. 2(12). e0000704–e0000704. 13 indexed citations
8.
Campbell, Kathryn S., Robert J. Gifford, Joshua B. Singer, et al.. (2022). Making genomic surveillance deliver: A lineage classification and nomenclature system to inform rabies elimination. PLoS Pathogens. 18(5). e1010023–e1010023. 19 indexed citations
9.
O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evolution. 7(2). veab064–veab064. 551 indexed citations breakdown →
10.
Hill, Verity, Christopher Ruis, Sumali Bajaj, Oliver G. Pybus, & Moritz U. G. Kraemer. (2021). Progress and challenges in virus genomic epidemiology. Trends in Parasitology. 37(12). 1038–1049. 50 indexed citations
11.
O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool. Apollo (University of Cambridge). 1 indexed citations
12.
Hill, Verity. (2021). COG-UK/B.1.1.7_spatial_analysis_UK: v1.0.0. Zenodo (CERN European Organization for Nuclear Research).
13.
Rambaut, Andrew, Edward C. Holmes, Áine O’Toole, et al.. (2020). A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nature Microbiology. 5(11). 1403–1407. 1402 indexed citations breakdown →
14.
Worobey, Michael, Jonathan E. Pekar, Brendan B. Larsen, et al.. (2020). The emergence of SARS-CoV-2 in Europe and North America. Science. 370(6516). 564–570. 214 indexed citations
15.
Lemey, Philippe, Samuel L. Hong, Verity Hill, et al.. (2020). Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. Nature Communications. 11(1). 5110–5110. 85 indexed citations
16.
17.
Hill, Verity & Guy Baele. (2019). Bayesian Estimation of Past Population Dynamics in BEAST 1.10 Using the Skygrid Coalescent Model. Molecular Biology and Evolution. 36(11). 2620–2628. 109 indexed citations
18.
Clarke, Michelle, Peter McIntyre, Christopher C. Blyth, et al.. (2015). The relationship between Bordetella pertussis genotype and clinical severity in Australian children with pertussis. Journal of Infection. 72(2). 171–178. 33 indexed citations
19.
Brett, Meghan, Laurel Respicio-Kingry, Raoult Ratard, et al.. (2014). Outbreak of Francisella novicida Bacteremia Among Inmates at a Louisiana Correctional Facility. Clinical Infectious Diseases. 59(6). 826–833. 27 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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