Lisa G. Johnston

6.6k total citations
93 papers, 4.8k citations indexed

About

Lisa G. Johnston is a scholar working on Epidemiology, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Lisa G. Johnston has authored 93 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Epidemiology, 70 papers in Infectious Diseases and 50 papers in Sociology and Political Science. Recurrent topics in Lisa G. Johnston's work include HIV, Drug Use, Sexual Risk (79 papers), HIV/AIDS Research and Interventions (70 papers) and Sex work and related issues (50 papers). Lisa G. Johnston is often cited by papers focused on HIV, Drug Use, Sexual Risk (79 papers), HIV/AIDS Research and Interventions (70 papers) and Sex work and related issues (50 papers). Lisa G. Johnston collaborates with scholars based in United States, United Kingdom and Uganda. Lisa G. Johnston's co-authors include Keith Sabin, Carl Kendall, Michael Hollifield, Dominic Melendrez, Barry Krakow, Teddy D. Warner, George W. Rutherford, Mohsen Malekinejad, Lígia Regina Franco Sansigolo Kerr and Mary P. Koss and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lisa G. Johnston

88 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa G. Johnston United States 37 2.7k 2.3k 1.7k 940 844 93 4.8k
Peter A. Vanable United States 45 2.2k 0.8× 3.3k 1.4× 1.4k 0.8× 587 0.6× 3.5k 4.2× 127 7.1k
Bülent Turan United States 35 1.4k 0.5× 2.1k 0.9× 765 0.5× 484 0.5× 1.3k 1.6× 122 4.6k
Patrick Peretti‐Watel France 36 1.2k 0.5× 1.2k 0.5× 1.2k 0.7× 175 0.2× 617 0.7× 151 4.4k
Roger A. Roffman United States 40 2.8k 1.1× 1.2k 0.5× 612 0.4× 322 0.3× 2.4k 2.9× 114 5.7k
Xianbin Li China 24 1.2k 0.4× 1.7k 0.8× 552 0.3× 150 0.2× 1.0k 1.2× 47 3.9k
John B. Jemmott United States 43 802 0.3× 2.6k 1.1× 1.5k 0.9× 260 0.3× 4.7k 5.6× 146 7.3k
Barbara C. Leigh United States 41 2.8k 1.1× 1.1k 0.5× 1.4k 0.8× 675 0.7× 2.7k 3.2× 93 6.0k
Louise O’Brien Australia 35 321 0.1× 599 0.3× 522 0.3× 401 0.4× 771 0.9× 91 3.8k
Robert E. Fullilove United States 30 999 0.4× 1.1k 0.5× 1.0k 0.6× 142 0.2× 1.9k 2.2× 88 3.6k
Pamela J. Murray United States 27 310 0.1× 396 0.2× 610 0.4× 792 0.8× 1.3k 1.5× 99 4.3k

Countries citing papers authored by Lisa G. Johnston

Since Specialization
Citations

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

Fields of papers citing papers by Lisa G. Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa G. Johnston. 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 Lisa G. Johnston. The network helps show where Lisa G. Johnston may publish in the future.

Co-authorship network of co-authors of Lisa G. Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa G. Johnston. A scholar is included among the top collaborators of Lisa G. Johnston 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 Lisa G. Johnston. Lisa G. Johnston 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.
Pham, Phuong, et al.. (2023). Characterization of Vulnerability of Internally Displaced Persons in Burkina Faso, Mali, and Niger Using Respondent-Driven Sampling (RDS). Journal of Refugee Studies. 36(4). 818–841. 1 indexed citations
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Johnston, Lisa G., et al.. (2023). Estimating the Size of Clustered Hidden Populations. Journal of Survey Statistics and Methodology. 11(5). 1155–1180. 2 indexed citations
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Johnston, Lisa G., et al.. (2017). Ensuring Inclusion of Adolescent Key Populations at Higher Risk of HIV Exposure: Recommendations for Conducting Biological Behavioral Surveillance Surveys. JMIR Public Health and Surveillance. 3(2). e40–e40. 9 indexed citations
7.
Johnston, Lisa G., et al.. (2016). Correlates of Forced Sex Among Young Men Who Have Sex With Men in Yangon and Monywa, Myanmar. Archives of Sexual Behavior. 46(4). 1001–1010. 11 indexed citations
8.
Johnston, Lisa G., Miriam Lewis Sabin, Dimitri Prybylski, et al.. (2016). The importance of assessing self-reported HIV status in bio-behavioural surveys. Bulletin of the World Health Organization. 94(8). 605–612. 19 indexed citations
9.
White, Richard G., Avi J. Hakim, Matthew Salganik, et al.. (2015). Strengthening the Reporting of Observational Studies in Epidemiology for respondent-driven sampling studies: “STROBE-RDS” statement. Journal of Clinical Epidemiology. 68(12). 1463–1471. 167 indexed citations
10.
Le, Linh‐Vi, et al.. (2015). Sampling Males Who Inject Drugs in Haiphong, Vietnam: Comparison of Time-Location and Respondent-Driven Sampling Methods. Journal of Urban Health. 92(4). 744–757. 10 indexed citations
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Rutherford, George W., Andrew Anglemyer, Danstan Bagenda, et al.. (2014). University students and the risk of HIV and other sexually transmitted infections in Uganda: The Crane Survey. International Journal of Adolescent Medicine and Health. 26(2). 209–215. 20 indexed citations
13.
Johnston, Lisa G., et al.. (2014). High HIV and HCV and the unmet needs of people who inject drugs in Yerevan, Armenia. International Journal of Drug Policy. 25(4). 740–743. 4 indexed citations
14.
Montealegre, Jane R., et al.. (2013). Respondent Driven Sampling for HIV Biological and Behavioral Surveillance in Latin America and the Caribbean. AIDS and Behavior. 17(7). 2313–2340. 37 indexed citations
15.
McCreesh, Nicky, Simon D. W. Frost, Janet Seeley, et al.. (2011). Evaluation of Respondent-driven Sampling. Epidemiology. 23(1). 138–147. 220 indexed citations
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Johnston, Lisa G., et al.. (2011). High HIV and hepatitis C prevalence amongst injecting drug users in Mauritius: Findings from a population size estimation and respondent driven sampling survey. International Journal of Drug Policy. 22(4). 252–258. 33 indexed citations
17.
Townsend, Loraine, Lisa G. Johnston, Alan J. Flisher, Catherine Mathews, & Yanga Zembe. (2010). Effectiveness of Respondent-Driven Sampling to Recruit High Risk Heterosexual Men Who Have Multiple Female Sexual Partners: Differences in HIV Prevalence and Sexual Risk Behaviours Measured at Two Time Points. AIDS and Behavior. 14(6). 1330–1339. 18 indexed citations
18.
Chopra, Mickey, Loraine Townsend, Lisa G. Johnston, et al.. (2009). Estimating HIV Prevalence and Risk Behaviors Among High-Risk Heterosexual Men With Multiple Sex Partners: Use of Respondent-Driven Sampling. JAIDS Journal of Acquired Immune Deficiency Syndromes. 51(1). 72–77. 43 indexed citations
19.
Božičević, Ivana, Oktavija Đaković Rode, Snježana Židovec Lepej, et al.. (2008). Prevalence of Sexually Transmitted Infections Among Men Who Have Sex with Men in Zagreb, Croatia. AIDS and Behavior. 13(2). 303–309. 37 indexed citations
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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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