Michael Pickles

3.8k total citations · 1 hit paper
71 papers, 2.2k citations indexed

About

Michael Pickles is a scholar working on Infectious Diseases, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Michael Pickles has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Infectious Diseases, 41 papers in Epidemiology and 37 papers in Sociology and Political Science. Recurrent topics in Michael Pickles's work include HIV/AIDS Research and Interventions (45 papers), HIV, Drug Use, Sexual Risk (40 papers) and Sex work and related issues (37 papers). Michael Pickles is often cited by papers focused on HIV/AIDS Research and Interventions (45 papers), HIV, Drug Use, Sexual Risk (40 papers) and Sex work and related issues (37 papers). Michael Pickles collaborates with scholars based in United Kingdom, Canada and India. Michael Pickles's co-authors include Marie‐Claude Boily, Kathleen Deering, Peter Vickerman, Sushena Reza‐Paul, Kate Shannon, Peninah Mwangi, Shira M. Goldenberg, Steffanie A. Strathdee, Maia Rusakova and Putu Duff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Pickles

67 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global epidemiology of HIV among female sex workers: influence of structural determinants

2014 612 citations Michael Pickles, Marie‐Claude Boily et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Pickles United Kingdom	23	1.4k	1.2k	1.1k	372	310	71	2.2k
Erin Kahle United States	22	916 0.7×	457 0.4×	1.2k 1.0×	101 0.3×	438 1.4×	55	2.0k
Andrei P. Kozlov Russia	26	1.3k 0.9×	583 0.5×	1.1k 0.9×	125 0.3×	416 1.3×	103	2.1k
Kathleen L. Irwin United States	33	1.9k 1.4×	560 0.5×	1.5k 1.3×	68 0.2×	1.4k 4.6×	80	3.8k
Raman Gangakhedkar India	25	978 0.7×	464 0.4×	1.4k 1.2×	42 0.1×	480 1.5×	106	2.4k
Christina Lindan United States	26	1.0k 0.7×	606 0.5×	1.4k 1.2×	67 0.2×	1.0k 3.3×	69	2.4k
Caroline Y. Kuo United States	20	375 0.3×	249 0.2×	616 0.5×	302 0.8×	365 1.2×	60	1.6k
Jorge Sánchez Peru	21	977 0.7×	652 0.6×	1.4k 1.2×	32 0.1×	526 1.7×	53	1.8k
G Garnett United Kingdom	23	813 0.6×	332 0.3×	760 0.7×	61 0.2×	610 2.0×	41	1.8k
Mauro Schechter Brazil	28	1.7k 1.3×	418 0.4×	3.4k 3.0×	167 0.4×	508 1.6×	62	3.9k
Michael L. Rekart Canada	26	2.1k 1.5×	711 0.6×	1.3k 1.1×	21 0.1×	606 2.0×	56	2.9k

Countries citing papers authored by Michael Pickles

Since Specialization

Citations

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

Fields of papers citing papers by Michael Pickles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pickles

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bansi‐Matharu, Loveleen, Daniel Citron, John Stover, et al.. (2025). Identifying gaps in the HIV treatment cascade in Africa: a model comparison study. The Lancet Global Health. 13(6). e1006–e1019. 2 indexed citations

Lauro, Francesco Di, William J. M. Probert, Michael Pickles, et al.. (2025). Large connected components in sexual networks and their role in HIV transmission in Sub-Saharan Africa: A model-based analysis of HPTN 071(PopART) data. Journal of Theoretical Biology. 613. 112218–112218.

Girón‐Callejas, Amalia, et al.. (2025). High HIV viral suppression among adults receiving WHO-recommended first-line dolutegravir-based antiretroviral therapy in low- and middle-income countries: a systematic review and meta-analysis of programmatic evidence. AIDS Research and Therapy. 22(1). 91–91.

Pickles, Michael, Parinita Bhattacharjee, Janet Musimbi, et al.. (2024). Exploratory analysis of the potential impact of violence on HIV among female sex workers in Mombasa, Kenya: a mathematical modelling study. BMC Medicine. 22(1). 468–468.

Pickles, Michael, Joseph Larmarange, Kate M. Mitchell, et al.. (2024). From conceptualising to modelling structural determinants and interventions in HIV transmission dynamics models: a scoping review and methodological framework for evidence-based analyses. BMC Medicine. 22(1). 404–404. 2 indexed citations

Shaw, Souradet Y., Stella Leung, Shajy Isac, et al.. (2024). Describing the effect of COVID-19 on sexual and healthcare-seeking behaviours of men who have sex with men in three counties in Kenya: a cross-sectional study. Sexually Transmitted Infections. 100(8). 497–503. 1 indexed citations

Yang, Lily, Marie‐Claude Boily, Minttu M. Rönn, et al.. (2023). Regional and country-level trends in cervical cancer screening coverage in sub-Saharan Africa: A systematic analysis of population-based surveys (2000–2020). PLoS Medicine. 20(1). e1004143–e1004143. 34 indexed citations

Davis, Katherine, Michael Pickles, Simon Gregson, et al.. (2023). The effect of universal testing and treatment for HIV on health-related quality of life – An analysis of data from the HPTN 071 (PopART) cluster randomised trial. SSM - Population Health. 23. 101473–101473. 1 indexed citations

Pickles, Michael, Simon Gregson, Tawanda Dadirai, et al.. (2023). Strengthening the HIV prevention cascade to maximise epidemiological impact in eastern Zimbabwe: a modelling study. The Lancet Global Health. 11(7). e1105–e1113. 5 indexed citations

10.

Balakireva, O. M., Lisa Lazarus, Aruni Tennakoon, et al.. (2022). Awareness and Utilization of HIV Testing and Prevention Services Among Female Sex Workers in Dnipro, Ukraine: Implications for Prevention Program Strengthening From the Dynamics Study. SHILAP Revista de lepidopterología. 4. 879191–879191. 1 indexed citations

11.

Pickles, Michael, Anne Cori, William J. M. Probert, et al.. (2021). PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial. PLoS Computational Biology. 17(9). e1009301–e1009301. 5 indexed citations

12.

Mishra, Sharmistha, O. M. Balakireva, Helgar Musyoki, et al.. (2020). Transitions: Novel Study Methods to Understand Early HIV Risk Among Adolescent Girls and Young Women in Mombasa, Kenya, and Dnipro, Ukraine. Frontiers in Reproductive Health. 2. 7–7. 9 indexed citations

13.

Isac, Shajy, Helgar Musyoki, Michael Pickles, et al.. (2019). Informing HIV Prevention Programs for Adolescent Girls and Young Women: A Modified Approach to Programmatic Mapping and Key Population Size Estimation. JMIR Public Health and Surveillance. 5(2). e11196–e11196. 18 indexed citations

14.

Cori, Anne, Michael Pickles, Ard van Sighem, et al.. (2015). CD4+ cell dynamics in untreated HIV-1 infection. AIDS. 29(18). 2435–2446. 30 indexed citations

15.

Brock, Patrick M., Ailsa R. Butler, Michael Pickles, et al.. (2015). Prevalence and Frequency of Heterosexual Anal Intercourse Among Young People: A Systematic Review and Meta-analysis. AIDS and Behavior. 19(7). 1338–1360. 38 indexed citations

16.

Mishra, Sharmistha, et al.. (2014). Antiretroviral Therapy Uptake, Attrition, Adherence and Outcomes among HIV-Infected Female Sex Workers: A Systematic Review and Meta-Analysis. PLoS ONE. 9(9). e105645–e105645. 110 indexed citations

17.

Guinness, Lorna, et al.. (2014). The Costs of Scaling Up HIV Prevention for High Risk Groups: Lessons Learned from the Avahan Programme in India. PLoS ONE. 9(9). e106582–e106582. 15 indexed citations

18.

Vassall, Anna, Michael Pickles, Tara Beattie, et al.. (2014). Community Mobilisation and Empowerment Interventions as Part of HIV Prevention for Female Sex Workers in Southern India: A Cost-Effectiveness Analysis. PLoS ONE. 9(10). e110562–e110562. 33 indexed citations

19.

Mishra, Sharmistha, Michael Pickles, James Blanchard, Stephen Moses, & Marie‐Claude Boily. (2013). Distinguishing sources of HIV transmission from the distribution of newly acquired HIV infections: why is it important for HIV prevention planning?. Sexually Transmitted Infections. 90(1). 19–25. 26 indexed citations

20.

Pickles, Michael, et al.. (1986). An enquiry into mortality in some mid-Wharfedale parishes in 1623.. PubMed. 19–35. 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.

Explore authors with similar magnitude of impact