Sin How Lim

1.8k total citations
64 papers, 1.3k citations indexed

About

Sin How Lim is a scholar working on Infectious Diseases, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Sin How Lim has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Infectious Diseases, 46 papers in Epidemiology and 27 papers in Sociology and Political Science. Recurrent topics in Sin How Lim's work include HIV/AIDS Research and Interventions (50 papers), HIV, Drug Use, Sexual Risk (40 papers) and Sex work and related issues (25 papers). Sin How Lim is often cited by papers focused on HIV/AIDS Research and Interventions (50 papers), HIV, Drug Use, Sexual Risk (40 papers) and Sex work and related issues (25 papers). Sin How Lim collaborates with scholars based in Malaysia, United States and Thailand. Sin How Lim's co-authors include Thomas E. Guadamuz, Chongyi Wei, Stuart Koe, Frederick L. Altice, Jeffrey A. Wickersham, Adeeba Kamarulzaman, Ron Stall, Amy Herrick, Adeeba Kamarulzaman and Priya Lall and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and American Journal of Public Health.

In The Last Decade

Sin How Lim

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sin How Lim Malaysia 21 990 751 392 386 311 64 1.3k
Steven A. John United States 20 992 1.0× 714 1.0× 384 1.0× 362 0.9× 338 1.1× 58 1.3k
Zishan Cui Canada 21 709 0.7× 650 0.9× 291 0.7× 334 0.9× 240 0.8× 83 1.1k
Darrel H. Higa United States 18 988 1.0× 626 0.8× 368 0.9× 592 1.5× 547 1.8× 41 1.5k
Mitzy Gafos United Kingdom 22 984 1.0× 712 0.9× 433 1.1× 593 1.5× 216 0.7× 77 1.5k
Jeb Jones United States 23 1.4k 1.4× 1.1k 1.5× 455 1.2× 695 1.8× 183 0.6× 71 1.8k
David S. Novak United States 25 1.3k 1.3× 967 1.3× 697 1.8× 632 1.6× 426 1.4× 55 1.8k
Viraj V. Patel United States 21 907 0.9× 725 1.0× 421 1.1× 357 0.9× 208 0.7× 76 1.2k
Matthew R. Beymer United States 17 623 0.6× 472 0.6× 284 0.7× 282 0.7× 130 0.4× 55 1.0k
Erik D. Storholm United States 18 628 0.6× 455 0.6× 256 0.7× 311 0.8× 345 1.1× 61 947
Corina Lelutiu‐Weinberger United States 23 1.2k 1.2× 1.2k 1.6× 587 1.5× 505 1.3× 607 2.0× 42 2.0k

Countries citing papers authored by Sin How Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sin How Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin How Lim. 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 Sin How Lim. The network helps show where Sin How Lim may publish in the future.

Co-authorship network of co-authors of Sin How Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Sin How Lim. A scholar is included among the top collaborators of Sin How Lim 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 Sin How Lim. Sin How Lim 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.
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Iyadorai, Thevambiga, Pui Li Wong, Maw Pin Tan, et al.. (2025). Respiratory Symptoms and Health Outcomes of Rhinovirus and Influenza Virus Infections: Implications of Asthma, Diabetes Mellitus and Allergic Rhinitis in Rhinovirus C Infection. Journal of Medical Virology. 97(3). e70281–e70281.
3.
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Iyadorai, Thevambiga, Sin How Lim, Pui Li Wong, et al.. (2024). Clinical symptoms, comorbidities and health outcomes among outpatients infected with the common cold coronaviruses versus influenza virus. Virology Journal. 21(1). 251–251. 1 indexed citations
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Jonas, Kai J., et al.. (2024). Patterns of Chemsex Substance Use and Its Association with HIV Transmission Risk Among Men Who Have Sex with Men in Thailand: A Latent Class Analysis. Archives of Sexual Behavior. 53(9). 3527–3536. 1 indexed citations
7.
Lim, Sin How, et al.. (2023). A Cross-Sectional Study of Occupational Noise Exposure and Hypertension in Malaysia. Cureus. 15(11). e48758–e48758. 1 indexed citations
8.
Wong, Li Ping, Haridah Alias, & Sin How Lim. (2023). Factors Influencing HPV Vaccine Intentions in Malaysian Men Who Have Sex with Men: A Cross-Sectional Study in Malaysia. Pathogens. 12(10). 1261–1261. 2 indexed citations
9.
Paudel, Kiran, J. W. G. Jacobs, Jeffrey A. Wickersham, et al.. (2023). An mHealth-Delivered Sexual Harm Reduction Tool (PartyPack) for Men Who Have Sex With Men in Malaysia: Usability Study. JMIR Formative Research. 7. e48113–e48113. 7 indexed citations
10.
Earnshaw, Valerie A., Pui Li Wong, Suzan M. Walters, et al.. (2022). Acceptability and Feasibility of Online, Asynchronous Photovoice with Key Populations and People Living with HIV. AIDS and Behavior. 27(7). 2055–2069. 3 indexed citations
11.
Mburu, Gitau, et al.. (2020). Outcomes of HIV treatment from the private sector in low-income and middle-income countries: a systematic review protocol. BMJ Open. 10(1). e031844–e031844. 3 indexed citations
12.
Wang, Melinda, Iskandar Azwa, Britton A. Gibson, et al.. (2020). Willingness to Use Pre-Exposure Prophylaxis (PrEP) for HIV Prevention and PrEP Implementation Preferences Among Transgender Women in Malaysia. Transgender Health. 5(4). 258–266. 12 indexed citations
13.
Shrestha, Roman, Haridah Alias, Li Ping Wong, Frederick L. Altice, & Sin How Lim. (2020). Using individual stated-preferences to optimize HIV self-testing service delivery among men who have sex with men (MSM) in Malaysia: results from a conjoint-based analysis. BMC Public Health. 20(1). 1777–1777. 18 indexed citations
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Khan, Farrah, Archana Krishnan, Jeffrey A. Wickersham, et al.. (2017). Assessment of an Innovative Voluntary Substance Abuse Treatment Program Designed to Replace Compulsory Drug Detention Centers in Malaysia. Substance Use & Misuse. 53(2). 249–259. 10 indexed citations
16.
Lim, Sin How, et al.. (2015). Impact of HIV-1 Subtype on the Time to CD4+ T-Cell Recovery in Combination Antiretroviral Therapy (cART)-Experienced Patients. PLoS ONE. 10(9). e0137281–e0137281. 9 indexed citations
17.
Brown, Shan-Estelle, Farrah Khan, Jeffrey A. Wickersham, et al.. (2014). An exploratory qualitative assessment of self-reported treatment outcomes and satisfaction among patients accessing an innovative voluntary drug treatment centre in Malaysia. International Journal of Drug Policy. 26(2). 175–182. 32 indexed citations
18.
Lim, Sin How, et al.. (2014). The Potential Role of Circuit Parties in the Spread of HIV Among Men Who Have Sex with Men in Asia: A Call for Targeted Prevention. Archives of Sexual Behavior. 44(2). 389–397. 24 indexed citations
19.
Wei, Chongyi, et al.. (2011). Patterns and levels of illicit drug use among men who have sex with men in Asia. Drug and Alcohol Dependence. 120(1-3). 246–249. 47 indexed citations
20.
Lim, Sin How, Charles Christen, Michael P. Marshal, et al.. (2011). Middle-Aged and Older Men Who Have Sex With Men Exhibit Multiple Trajectories With Respect to the Number of Sexual Partners. AIDS and Behavior. 16(3). 590–598. 20 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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