Hamish Mohammed

3.8k total citations · 1 hit paper
117 papers, 2.3k citations indexed

About

Hamish Mohammed is a scholar working on Infectious Diseases, Epidemiology and Microbiology. According to data from OpenAlex, Hamish Mohammed has authored 117 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Infectious Diseases, 43 papers in Epidemiology and 41 papers in Microbiology. Recurrent topics in Hamish Mohammed's work include Reproductive tract infections research (41 papers), HIV/AIDS Research and Interventions (39 papers) and Syphilis Diagnosis and Treatment (30 papers). Hamish Mohammed is often cited by papers focused on Reproductive tract infections research (41 papers), HIV/AIDS Research and Interventions (39 papers) and Syphilis Diagnosis and Treatment (30 papers). Hamish Mohammed collaborates with scholars based in United Kingdom, United States and Trinidad and Tobago. Hamish Mohammed's co-authors include Gwenda Hughes, Patricia Kissinger, Jami S. Leichliter, Martina Furegato, Kay M. Tomashek, Thomas A. Farley, Stephen Duffell, Catherine H Mercer, Ellen Heinsbroek and Helen Fifer and has published in prestigious journals such as The Lancet, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Hamish Mohammed

109 papers receiving 2.2k citations

Hit Papers

Effectiveness of one dose of MVA–BN smallpox vaccine agai... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamish Mohammed United Kingdom 26 1.0k 699 679 644 522 117 2.3k
Emily J. Erbelding United States 29 810 0.8× 303 0.4× 1.1k 1.6× 1.0k 1.6× 707 1.4× 70 2.6k
Julia A. Schillinger United States 28 865 0.8× 342 0.5× 1.1k 1.7× 1.1k 1.6× 888 1.7× 82 2.7k
Suzanna C. Francis United Kingdom 23 768 0.7× 540 0.8× 933 1.4× 1.4k 2.2× 1.0k 1.9× 74 2.8k
Hannelore M Götz Netherlands 28 724 0.7× 267 0.4× 1.2k 1.7× 1.4k 2.1× 771 1.5× 138 2.6k
Roxanne P. Kerani United States 24 733 0.7× 230 0.3× 736 1.1× 807 1.3× 588 1.1× 86 1.9k
Jennifer E. Balkus United States 23 790 0.8× 297 0.4× 812 1.2× 1.0k 1.6× 672 1.3× 90 1.9k
Preeti Pathela United States 24 901 0.9× 170 0.2× 810 1.2× 724 1.1× 441 0.8× 84 2.0k
Laura H. Bachmann United States 28 882 0.9× 622 0.9× 1.2k 1.8× 2.0k 3.1× 865 1.7× 78 3.5k
Deborah Watson‐Jones United Kingdom 27 1.3k 1.2× 291 0.4× 967 1.4× 785 1.2× 1.1k 2.0× 50 2.4k
Jacques Pépin Canada 28 849 0.8× 575 0.8× 1.5k 2.1× 327 0.5× 325 0.6× 62 2.8k

Countries citing papers authored by Hamish Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Hamish Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamish Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Hamish Mohammed. A scholar is included among the top collaborators of Hamish Mohammed 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 Hamish Mohammed. Hamish Mohammed 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
2.
Gibbs, Jo, Geoff Wong, Alison Howarth, et al.. (2025). Evaluating the Implementation of Online Postal Self-Sampling for Sexually Transmitted Infections in England: Multisite Qualitative Study. Journal of Medical Internet Research. 27. e72812–e72812. 1 indexed citations
3.
Saunders, John, Claire Dewsnap, Alison D. Grant, et al.. (2025). British Association for Sexual Health and HIV (BASHH) UK national guideline for the use of doxycycline post-exposure prophylaxis (DoxyPEP) for the prevention of syphilis, 2025. International Journal of STD & AIDS. 36(10). 756–764. 7 indexed citations
4.
Pitt, Rachel, Stephen Hughes, Hugo Donaldson, et al.. (2024). Investigating the cause of increased tetracycline-resistant Neisseria gonorrhoeae in England, 2016–20. Journal of Antimicrobial Chemotherapy. 79(5). 1060–1068. 2 indexed citations
5.
Howarth, Alison, David M. Reid, Jessica Sheringham, et al.. (2024). How does online postal self-sampling (OPSS) shape access to testing for sexually transmitted infections (STIs)? A qualitative study of service users. BMC Public Health. 24(1). 2339–2339. 2 indexed citations
6.
Talebi, Alireza, et al.. (2023). STI testing, diagnoses and online chlamydia self-sampling among young people during the first year of the COVID-19 pandemic in England. International Journal of STD & AIDS. 34(12). 841–853. 4 indexed citations
7.
8.
Dhairyawan, Rageshri, et al.. (2023). Factors associated with bacterial sexually transmitted infections among people of South Asian ethnicity in England. Sexually Transmitted Infections. 100(1). 17–24. 1 indexed citations
9.
Allen, Hester, Rachel Pitt, Hamish Mohammed, et al.. (2022). Is there an association between previous infection withNeisseria gonorrhoeaeand gonococcal AMR? A cross-sectional analysis of national and sentinel surveillance data in England, 2015–2019. Sexually Transmitted Infections. 99(1). 1–6. 9 indexed citations
10.
Cole, Michelle, Rachel Pitt, Michaela Day, et al.. (2022). Antimicrobial-resistant gonorrhoea: the national public health response, England, 2013 to 2020. Eurosurveillance. 27(40). 22 indexed citations
12.
Mohammed, Hamish, et al.. (2021). Developing a model to predict individualised treatment for gonorrhoea: a modelling study. BMJ Open. 11(6). e042893–e042893. 2 indexed citations
13.
Fifer, Helen, Rachel Pitt, Hester Allen, et al.. (2021). Frequency and Correlates of Mycoplasma genitalium Antimicrobial Resistance Mutations and Their Association With Treatment Outcomes: Findings From a National Sentinel Surveillance Pilot in England. Sexually Transmitted Diseases. 48(12). 951–954. 10 indexed citations
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Allen, Hester, Rachel Pitt, Megan Bardsley, et al.. (2020). Investigating the decline in Lymphogranuloma venereum diagnoses in men who have sex with men in the United Kingdom since 2016: an analysis of surveillance data. Sexual Health. 17(4). 344–351. 4 indexed citations
17.
Town, Katy, Simon R. Harris, Leonor Sánchez-Busó, et al.. (2020). Genomic and Phenotypic Variability in Neisseria gonorrhoeae Antimicrobial Susceptibility, England. Emerging infectious diseases. 26(3). 505–515. 20 indexed citations
19.
Furegato, Martina, et al.. (2016). Access of non-specialist sexual health services by men who have sex with men: do they differ from those attending specialist services?. Sexually Transmitted Infections. 94(1). 72–74. 5 indexed citations
20.
Mohammed, Hamish. (2014). Monitoring STI Risk Behaviour and Partner Notification Outcomes through Routine National Surveillance: A Pilot Study in England. UCL Discovery (University College London). 4 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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