Joshua Elliott

3.4k total citations · 2 hit papers
18 papers, 1.2k citations indexed

About

Joshua Elliott is a scholar working on Infectious Diseases, Modeling and Simulation and Neurology. According to data from OpenAlex, Joshua Elliott has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 4 papers in Modeling and Simulation and 3 papers in Neurology. Recurrent topics in Joshua Elliott's work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and COVID-19 epidemiological studies (4 papers). Joshua Elliott is often cited by papers focused on COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and COVID-19 epidemiological studies (4 papers). Joshua Elliott collaborates with scholars based in United Kingdom, Greece and Netherlands. Joshua Elliott's co-authors include Paul Elliott, Marc Chadeau‐Hyam, Matthew Whitaker, Barbara Bodinier, Graham Cooke, Helen Ward, Ara Darzi, Steven Riley, Ioanna Tzoulaki and Christl A. Donnelly and has published in prestigious journals such as Science, JAMA and Circulation.

In The Last Decade

Joshua Elliott

16 papers receiving 1.2k citations

Hit Papers

Predictive Accuracy of a Polygenic Risk Score–Enhanced Pr... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Elliott United Kingdom 12 476 303 228 194 173 18 1.2k
Neftalí Eduardo Antonio-Villa Mexico 16 357 0.8× 159 0.5× 97 0.4× 59 0.3× 97 0.6× 65 1.0k
Daniel Ayoubkhani United Kingdom 17 696 1.5× 735 2.4× 382 1.7× 126 0.6× 38 0.2× 34 1.6k
Eugene Merzon Israel 15 613 1.3× 164 0.5× 81 0.4× 74 0.4× 86 0.5× 61 1.1k
Carlos A. Fermín‐Martínez Mexico 11 299 0.6× 139 0.5× 96 0.4× 56 0.3× 56 0.3× 24 633
Mei Ding China 8 876 1.8× 419 1.4× 118 0.5× 54 0.3× 42 0.2× 11 1.5k
Sharon Saydah United States 14 398 0.8× 517 1.7× 226 1.0× 23 0.1× 134 0.8× 39 1.0k
Charles Raine United Kingdom 8 548 1.2× 213 0.7× 124 0.5× 94 0.5× 35 0.2× 17 1.0k
Nina M. de Gruijter United Kingdom 6 542 1.1× 211 0.7× 124 0.5× 94 0.5× 35 0.2× 9 952
Ilan Green Israel 12 591 1.2× 159 0.5× 81 0.4× 73 0.4× 34 0.2× 53 1000

Countries citing papers authored by Joshua Elliott

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Elliott

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

All Works

18 of 18 papers shown
1.
Elliott, Joshua, et al.. (2025). Assessment of drinking water biofilter health under warm and cold temperatures. Journal of Water Process Engineering. 79. 108872–108872.
2.
Elliott, Joshua, Barbara Bodinier, Matthew Whitaker, et al.. (2024). Sex inequalities in cardiovascular risk prediction. Cardiovascular Research. 120(11). 1327–1335. 3 indexed citations
3.
Elliott, Paul, Matthew Whitaker, David Tang, et al.. (2023). Design and Implementation of a National SARS-CoV-2 Monitoring Program in England: REACT-1 Study. American Journal of Public Health. 113(5). 545–554. 16 indexed citations
4.
Elliott, Paul, Oliver Eales, Nicholas Steyn, et al.. (2022). Twin peaks: The Omicron SARS-CoV-2 BA.1 and BA.2 epidemics in England. Science. 376(6600). eabq4411–eabq4411. 67 indexed citations
5.
Whitaker, Matthew, Joshua Elliott, Marc Chadeau‐Hyam, et al.. (2022). Persistent COVID-19 symptoms in a community study of 606,434 people in England. Nature Communications. 13(1). 1957–1957. 231 indexed citations breakdown →
6.
Chadeau‐Hyam, Marc, Oliver Eales, Barbara Bodinier, et al.. (2022). Breakthrough SARS-CoV-2 infections in double and triple vaccinated adults and single dose vaccine effectiveness among children in Autumn 2021 in England: REACT-1 study. EClinicalMedicine. 48. 101419–101419. 10 indexed citations
7.
Whitaker, Matthew, Joshua Elliott, Barbara Bodinier, et al.. (2022). Variant-specific symptoms of COVID-19 in a study of 1,542,510 adults in England. Nature Communications. 13(1). 6856–6856. 83 indexed citations
8.
Elliott, Joshua, Matthew Whitaker, Barbara Bodinier, et al.. (2021). Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people. PLoS Medicine. 18(9). e1003777–e1003777. 65 indexed citations
9.
Elliott, Joshua, Barbara Bodinier, Matthew Whitaker, et al.. (2021). COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors. European Journal of Epidemiology. 36(3). 299–309. 71 indexed citations
10.
Ward, Helen, Christina Atchison, Matthew Whitaker, et al.. (2021). SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic. Nature Communications. 12(1). 905–905. 110 indexed citations
11.
Ward, Helen, Graham Cooke, Christina Atchison, et al.. (2021). Prevalence of antibody positivity to SARS-CoV-2 following the first peak of infection in England: Serial cross-sectional studies of 365,000 adults. The Lancet Regional Health - Europe. 4. 100098–100098. 63 indexed citations
13.
Ward, Helen, Christina Atchison, Matthew Whitaker, et al.. (2020). Antibody prevalence for SARS-CoV-2 in England following first peak of the pandemic: REACT2 study in 100,000 adults. medRxiv. 65 indexed citations
14.
Chadeau‐Hyam, Marc, Barbara Bodinier, Joshua Elliott, et al.. (2020). Risk factors for positive and negative COVID-19 tests: a cautious and in-depth analysis of UK biobank data. International Journal of Epidemiology. 49(5). 1454–1467. 83 indexed citations
15.
Chadeau‐Hyam, Marc, Barbara Bodinier, Roel Vermeulen, et al.. (2020). Education, biological ageing, all-cause and cause-specific mortality and morbidity: UK biobank cohort study. EClinicalMedicine. 29-30. 100658–100658. 41 indexed citations
16.
Elliott, Joshua, Barbara Bodinier, Tom A. Bond, et al.. (2020). Predictive Accuracy of a Polygenic Risk Score–Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease. JAMA. 323(7). 636–636. 261 indexed citations breakdown →
17.
Horne, Kate McElroy, Daniel Logsdon, Sara Sanders, et al.. (2019). Survey of Occupational and Environmental Exposure Monitoring Solutions. Military Medicine. 185(Supplement_1). 396–403. 1 indexed citations
18.
Pollard, Zane F., et al.. (2011). Strabismus Precipitated by Monovision. American Journal of Ophthalmology. 152(3). 479–482.e1. 11 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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