Amy Pinsent

538 total citations
22 papers, 213 citations indexed

About

Amy Pinsent is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Amy Pinsent has authored 22 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Microbiology and 4 papers in Infectious Diseases. Recurrent topics in Amy Pinsent's work include Reproductive tract infections research (8 papers), Influenza Virus Research Studies (5 papers) and Pneumonia and Respiratory Infections (4 papers). Amy Pinsent is often cited by papers focused on Reproductive tract infections research (8 papers), Influenza Virus Research Studies (5 papers) and Pneumonia and Respiratory Infections (4 papers). Amy Pinsent collaborates with scholars based in United Kingdom, Australia and United States. Amy Pinsent's co-authors include Manoj Gambhir, Steven Riley, T. Déirdre Hollingsworth, John Ojal, Stefan Flasche, Marc Lipsitch, Matthew J. Burton, Christophe Fraser, Thomas M. Lietman and Fengchen Liu and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Amy Pinsent

22 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Pinsent United Kingdom 10 111 68 41 40 29 22 213
Angels Natividad-Sancho Spain 8 273 2.5× 183 2.7× 54 1.3× 23 0.6× 16 0.6× 10 375
Laura Cooper United Kingdom 9 170 1.5× 153 2.3× 76 1.9× 45 1.1× 19 0.7× 20 360
João Baptista Risi Brazil 7 139 1.3× 111 1.6× 93 2.3× 22 0.6× 13 0.4× 11 266
Elizabeth Rausch-Phung United States 8 328 3.0× 16 0.2× 134 3.3× 28 0.7× 50 1.7× 12 410
Anne Tunbridge United Kingdom 8 81 0.7× 25 0.4× 78 1.9× 27 0.7× 7 0.2× 17 248
Nora Dellepiane Switzerland 10 87 0.8× 73 1.1× 101 2.5× 22 0.6× 13 0.4× 18 249
Muna Al Maslamani Qatar 10 130 1.2× 25 0.4× 171 4.2× 20 0.5× 19 0.7× 33 314
Abass Abdul-Karim Ghana 9 111 1.0× 58 0.9× 43 1.0× 103 2.6× 7 0.2× 18 253
Saul Hymes United States 8 79 0.7× 91 1.3× 31 0.8× 14 0.3× 3 0.1× 16 192
Sylvia Ranjeva United States 8 180 1.6× 17 0.3× 52 1.3× 95 2.4× 34 1.2× 13 354

Countries citing papers authored by Amy Pinsent

Since Specialization
Citations

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

Fields of papers citing papers by Amy Pinsent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Pinsent

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Pinsent. A scholar is included among the top collaborators of Amy Pinsent 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 Amy Pinsent. Amy Pinsent 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.
Bourgain, Claire, Yixuan Ma, Amy Pinsent, et al.. (2023). An economic evaluation of two cervical screening algorithms in Belgium: HR-HPV primary compared to HR-HPV and liquid-based cytology co-testing. European Journal of Cancer Prevention. 33(3). 262–270. 1 indexed citations
2.
3.
Thindwa, Deus, Kondwani Jambo, John Ojal, et al.. (2022). Social mixing patterns relevant to infectious diseases spread by close contact in urban Blantyre, Malawi. Epidemics. 40. 100590–100590. 12 indexed citations
4.
Burke, David, Natalie McEvoy, Gerard F. Curley, et al.. (2022). Cost-effectiveness of a rapid point-of-care test for diagnosing patients with suspected bloodstream infection in Ireland. Informatics in Medicine Unlocked. 32. 101056–101056. 1 indexed citations
5.
Thindwa, Deus, Nicole Wolter, Amy Pinsent, et al.. (2021). Estimating the contribution of HIV-infected adults to household pneumococcal transmission in South Africa, 2016–2018: A hidden Markov modelling study. PLoS Computational Biology. 17(12). e1009680–e1009680. 11 indexed citations
6.
Toor, Jaspreet, Jonathan I. D. Hamley, Claudio Fronterrè, et al.. (2021). Strengthening data collection for neglected tropical diseases: What data are needed for models to better inform tailored intervention programmes?. PLoS neglected tropical diseases. 15(5). e0009351–e0009351. 10 indexed citations
7.
8.
Flasche, Stefan, Marc Lipsitch, John Ojal, & Amy Pinsent. (2020). Estimating the contribution of different age strata to vaccine serotype pneumococcal transmission in the pre vaccine era: a modelling study. BMC Medicine. 18(1). 129–129. 27 indexed citations
9.
Thindwa, Deus, Amy Pinsent, John Ojal, et al.. (2020). Vaccine strategies to reduce the burden of pneumococcal disease in HIV-infected adults in Africa.. Expert Review of Vaccines. 19(11). 1085–1092. 4 indexed citations
10.
Godwin, William, Joaquín M. Prada, Paul M. Emerson, et al.. (2019). Trachoma Prevalence After Discontinuation of Mass Azithromycin Distribution. The Journal of Infectious Diseases. 221(Supplement_5). S519–S524. 12 indexed citations
11.
Pinsent, Amy & T. Déirdre Hollingsworth. (2018). Optimising sampling regimes and data collection to inform surveillance for trachoma control. PLoS neglected tropical diseases. 12(10). e0006531–e0006531. 6 indexed citations
12.
Lietman, Thomas M., Amy Pinsent, Fengchen Liu, et al.. (2018). Models of Trachoma Transmission and Their Policy Implications: From Control to Elimination. Clinical Infectious Diseases. 66(suppl_4). S275–S280. 21 indexed citations
13.
Pinsent, Amy, Fengchen Liu, Michael Deiner, et al.. (2017). Probabilistic forecasts of trachoma transmission at the district level: A statistical model comparison. Epidemics. 18. 48–55. 8 indexed citations
14.
Pinsent, Amy & Manoj Gambhir. (2017). Improving our forecasts for trachoma elimination: What else do we need to know?. PLoS neglected tropical diseases. 11(2). e0005378–e0005378. 8 indexed citations
15.
16.
Pinsent, Amy, Isobel M. Blake, María‐Gloria Basáñez, & Manoj Gambhir. (2016). Mathematical Modelling of Trachoma Transmission, Control and Elimination. Advances in Parasitology. 94. 1–48. 7 indexed citations
17.
Pinsent, Amy, Christophe Fraser, Neil M. Ferguson, & Steven Riley. (2015). A systematic review of reported reassortant viral lineages of influenza A. BMC Infectious Diseases. 16(1). 3–3. 14 indexed citations
18.
Gambhir, Manoj & Amy Pinsent. (2015). Possible changes in the transmissibility of trachoma following MDA and transmission reduction: implications for the GET2020 goals. Parasites & Vectors. 8(1). 530–530. 5 indexed citations
19.
Pinsent, Amy, Isobel M. Blake, Michael White, & Steven Riley. (2014). Surveillance of low pathogenic novel H7N9 avian influenza in commercial poultry barns: detection of outbreaks and estimation of virus introduction time. BMC Infectious Diseases. 14(1). 427–427. 7 indexed citations
20.
Pinsent, Amy, Jonathan M. Read, Jamie T. Griffin, et al.. (2014). Risk factors for UK Plasmodium falciparum cases. Malaria Journal. 13(1). 298–298. 6 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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