Gregory Barnsley

1.9k total citations · 1 hit paper
8 papers, 922 citations indexed

About

Gregory Barnsley is a scholar working on Modeling and Simulation, Infectious Diseases and Health. According to data from OpenAlex, Gregory Barnsley has authored 8 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 5 papers in Infectious Diseases and 3 papers in Health. Recurrent topics in Gregory Barnsley's work include COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Vaccine Coverage and Hesitancy (3 papers). Gregory Barnsley is often cited by papers focused on COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Vaccine Coverage and Hesitancy (3 papers). Gregory Barnsley collaborates with scholars based in United Kingdom, United States and Australia. Gregory Barnsley's co-authors include Peter Winskill, Oliver J. Watson, Alexandra B. Hogan, Azra C. Ghani, Jaspreet Toor, Neil M. Ferguson, David S. Khoury, Daniela Olivera Mesa, Eleanor M. Riley and Giovanni Charles and has published in prestigious journals such as Nature Communications, PLoS Medicine and The Lancet Infectious Diseases.

In The Last Decade

Gregory Barnsley

7 papers receiving 904 citations

Hit Papers

Global impact of the first year of COVID-19 vaccination: ... 2022 2026 2023 2024 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Barnsley United Kingdom 6 574 332 266 101 81 8 922
Mona Marin Spain 5 658 1.1× 539 1.6× 235 0.9× 114 1.1× 88 1.1× 8 1.1k
Jane Halton Malaysia 4 689 1.2× 367 1.1× 214 0.8× 68 0.7× 117 1.4× 6 1.1k
Melanie D. Swift United States 16 686 1.2× 527 1.6× 211 0.8× 134 1.3× 43 0.5× 53 1.1k
Kevin Zhang Canada 13 399 0.7× 201 0.6× 279 1.0× 125 1.2× 36 0.4× 27 755
Srikanth Umakanthan Trinidad and Tobago 12 396 0.7× 175 0.5× 105 0.4× 85 0.8× 66 0.8× 31 856
Nancy McClung United States 12 801 1.4× 694 2.1× 305 1.1× 280 2.8× 107 1.3× 16 1.6k
Thomas N. Vilches Canada 11 498 0.9× 319 1.0× 435 1.6× 104 1.0× 25 0.3× 33 837
Timothy B. Frankland United States 12 899 1.6× 427 1.3× 237 0.9× 192 1.9× 69 0.9× 36 1.2k
Yeheskel Levy Israel 7 961 1.7× 531 1.6× 335 1.3× 89 0.9× 85 1.0× 11 1.2k
Omesh N. Ranasinghe United States 7 649 1.1× 331 1.0× 198 0.7× 53 0.5× 57 0.7× 9 807

Countries citing papers authored by Gregory Barnsley

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Barnsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Barnsley

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

All Works

8 of 8 papers shown
1.
Whittaker, Charles, Gregory Barnsley, Daniela Olivera Mesa, et al.. (2025). Quantifying the impact of a broadly protective sarbecovirus vaccine in a future SARS-X pandemic. Nature Communications. 16(1). 8495–8495.
2.
Barnsley, Gregory, Daniela Olivera Mesa, Alexandra B. Hogan, et al.. (2024). Impact of the 100 days mission for vaccines on COVID-19: a mathematical modelling study. The Lancet Global Health. 12(11). e1764–e1774. 6 indexed citations
3.
Jamaluddine, Zeina, Zhuo Chen, Shatha Elnakib, et al.. (2024). War in Gaza: scenario-based excess mortality projections. 5 indexed citations
4.
Jamaluddine, Zeina, Zhuo Chen, Shatha Elnakib, et al.. (2024). War in Gaza: scenario-based excess mortality projections. 5 indexed citations
5.
Hogan, Alexandra B., Patrick Doohan, Sean L. Wu, et al.. (2023). Estimating long-term vaccine effectiveness against SARS-CoV-2 variants: a model-based approach. Nature Communications. 14(1). 4325–4325. 15 indexed citations
6.
Hogan, Alexandra B., Sean L. Wu, Jaspreet Toor, et al.. (2023). Long-term vaccination strategies to mitigate the impact of SARS-CoV-2 transmission: A modelling study. PLoS Medicine. 20(11). e1004195–e1004195. 7 indexed citations
7.
Watson, Oliver J., Gregory Barnsley, Jaspreet Toor, et al.. (2022). Global impact of the first year of COVID-19 vaccination: a mathematical modelling study. The Lancet Infectious Diseases. 22(9). 1293–1302. 882 indexed citations breakdown →
8.
Hogan, Alexandra B., Sean L. Wu, Jaspreet Toor, et al.. (2022). Long Term Vaccination Strategies to Mitigate the Global Impact of SARS-CoV-2 Transmission: A Modelling Study. SSRN Electronic Journal. 2 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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