Waimar Tun

2.3k total citations
62 papers, 1.6k citations indexed

About

Waimar Tun is a scholar working on Infectious Diseases, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Waimar Tun has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Infectious Diseases, 54 papers in Epidemiology and 30 papers in Sociology and Political Science. Recurrent topics in Waimar Tun's work include HIV/AIDS Research and Interventions (54 papers), HIV, Drug Use, Sexual Risk (53 papers) and Sex work and related issues (30 papers). Waimar Tun is often cited by papers focused on HIV/AIDS Research and Interventions (54 papers), HIV, Drug Use, Sexual Risk (53 papers) and Sex work and related issues (30 papers). Waimar Tun collaborates with scholars based in United States, India and Nigeria. Waimar Tun's co-authors include Lung Vu, Meredith Sheehy, Scott Geibel, Stanley Lüchters, Sylvia Adebajo, Poe Poe Aung, Ashish Bajracharya, Minh D. Pham, Paul A. Agius and Naanki Pasricha and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and AIDS.

In The Last Decade

Waimar Tun

57 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Waimar Tun United States 24 1.2k 1.2k 556 489 216 62 1.6k
Bret J. Rudy United States 26 1.5k 1.2× 914 0.8× 261 0.5× 656 1.3× 498 2.3× 55 2.2k
Trevor A. Crowell United States 22 945 0.8× 565 0.5× 208 0.4× 262 0.5× 396 1.8× 121 1.6k
Norma Harris United States 14 1.1k 0.9× 872 0.8× 260 0.5× 431 0.9× 178 0.8× 22 1.4k
Wolfgang Hladik United States 26 1.2k 1.0× 1.1k 0.9× 557 1.0× 515 1.1× 158 0.7× 57 1.7k
Cinta Folch Spain 22 932 0.8× 1.1k 0.9× 526 0.9× 347 0.7× 139 0.6× 108 1.6k
A. D. McNaghten United States 22 1.1k 0.9× 932 0.8× 189 0.3× 322 0.7× 280 1.3× 40 1.5k
Amanda D. Castel United States 21 1.6k 1.3× 1.2k 1.0× 428 0.8× 602 1.2× 259 1.2× 95 1.9k
Meaghan Kall United Kingdom 18 979 0.8× 662 0.6× 147 0.3× 169 0.3× 197 0.9× 48 1.3k
Anastasia Pharris Sweden 25 1.2k 1.0× 1.2k 1.0× 393 0.7× 327 0.7× 304 1.4× 60 1.7k
Azfar-e-Alam Siddiqi United States 15 757 0.6× 721 0.6× 179 0.3× 333 0.7× 137 0.6× 24 1.3k

Countries citing papers authored by Waimar Tun

Since Specialization
Citations

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

Fields of papers citing papers by Waimar Tun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Waimar Tun

This figure shows the co-authorship network connecting the top 25 collaborators of Waimar Tun. A scholar is included among the top collaborators of Waimar Tun 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 Waimar Tun. Waimar Tun 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.
Bonett, Stephen, Rosina Cianelli, Amy Corneli, et al.. (2025). Lessons Learned From Engaging Healthcare Providers in Research on Implementation of HIV Preexposure Prophylaxis. JAIDS Journal of Acquired Immune Deficiency Syndromes. 98(5S). e129–e135.
2.
Tun, Waimar, Donaldson F. Conserve, Courtney Johnson, et al.. (2024). Development of a pharmacy-based HIV PrEP service delivery intervention for Washington, District of Columbia (DC): A study protocol. PLoS ONE. 19(10). e0311694–e0311694.
3.
Guure, Chris, Augustine Ankomah, William Ampofo, et al.. (2024). Biobehavioral survey using time location sampling among female sex workers living in Ghana in 2020. Frontiers in Public Health. 12. 1137799–1137799. 2 indexed citations
6.
Sekoni, Adekemi, Waimar Tun, Osasuyi Dirisu, et al.. (2022). Operationalizing the distribution of oral HIV self-testing kits to men who have sex with men (MSM) in a highly homophobic environment: the Nigerian experience. BMC Public Health. 22(1). 33–33. 6 indexed citations
7.
Tun, Waimar, et al.. (2021). Perspectives of Policymakers on the Introduction and Scale-Up of HIV Self-Testing and Implication for National HIV Programming in Ghana. Frontiers in Public Health. 9. 694836–694836. 8 indexed citations
8.
Tun, Waimar, Caterina Casalini, Kidola Jeremiah, et al.. (2019). Community-Based Antiretroviral Therapy (ART) Delivery for Female Sex Workers in Tanzania: 6-Month ART Initiation and Adherence. AIDS and Behavior. 23(S2). 142–152. 40 indexed citations
9.
Sarna, Avina, Mary Sebastian, Vartika Sharma, et al.. (2015). HIV, Hepatitis B and C among people who inject drugs: high prevalence of HIV and Hepatitis C RNA positive infections observed in Delhi, India. BMC Public Health. 15(1). 726–726. 43 indexed citations
10.
Tun, Waimar, Meredith Sheehy, Dita Broz, et al.. (2014). HIV and STI Prevalence and Injection Behaviors Among People Who Inject Drugs in Nairobi: Results from a 2011 Bio-behavioral Study Using Respondent-Driven Sampling. AIDS and Behavior. 19(S1). 24–35. 41 indexed citations
12.
Musyoki, Helgar, Timothy A. Kellogg, Scott Geibel, et al.. (2014). Prevalence of HIV, Sexually Transmitted Infections, and Risk Behaviours Among Female Sex Workers in Nairobi, Kenya: Results of a Respondent Driven Sampling Study. AIDS and Behavior. 19(S1). 46–58. 51 indexed citations
13.
Sarna, Avina, Stanley Lüchters, Eustasius Musenge, et al.. (2013). Effectiveness of a community-based positive prevention intervention for people living with HIV who are not receiving antiretroviral treatment: a prospective cohort study. Global Health Science and Practice. 1(1). 52–67. 6 indexed citations
14.
Vu, Lung, Sylvia Adebajo, Waimar Tun, et al.. (2013). High HIV Prevalence Among Men Who Have Sex With Men in Nigeria. JAIDS Journal of Acquired Immune Deficiency Syndromes. 63(2). 221–227. 70 indexed citations
15.
Mensch, Barbara, Barbara Friedland, Waimar Tun, et al.. (2012). Characteristics of Female Sex Workers in Southern India Willing and Unwilling to Participate in a Placebo Gel Trial. AIDS and Behavior. 17(2). 585–597. 11 indexed citations
16.
Vu, Lung, et al.. (2011). Attitudinal and Behavioral Factors Associated with Extramarital Sex Among Nigerian Men: Findings from a National Survey. International Journal of Sexual Health. 23(4). 258–268. 3 indexed citations
17.
Tun, Waimar, et al.. (2008). Sexual risk behaviours and HIV seroprevalence among male sex workers who have sex with men and non-sex workers in Campinas, Brazil. Sexually Transmitted Infections. 84(6). 455–457. 35 indexed citations
19.
Smit, Ellen, et al.. (2005). Body Habitus in a Cohort of HIV-Seropositive and HIV-Seronegative Injection Drug Users. AIDS Patient Care and STDs. 19(1). 19–30. 3 indexed citations
20.
Tun, Waimar, David D. Celentano, David Vlahov, & Steffanie A. Strathdee. (2003). Attitudes toward HIV treatments influence unsafe sexual and injection practices among injecting drug users. AIDS. 17(13). 1953–1962. 35 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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