Sin How Lim
Impact in
- Infectious Diseases top 2%
- HIV/AIDS Research and Interventions
- Epidemiology top 5%
- HIV, Drug Use, Sexual Risk
Papers in
-
- HIV/AIDS Research and Interventions 49
- Epidemiology 29
- HIV, Drug Use, Sexual Risk 26
- Respiratory viral infections research 2
- Co-authors
- Thomas E. Guadamuz (25 shared papers)Chongyi Wei (13 shared papers)Stuart Koe (10 shared papers)Frederick Lewis Altice (14 shared papers)Ron D. Stall (4 shared papers)Amy L. Herrick (4 shared papers)Adeeba Kamarulzaman (9 shared papers)Jeffrey A. Wickersham (15 shared papers)
- Journals
- AIDS and Behavior (11 papers)PLoS ONE (5 papers)International Journal of STD & AIDS (4 papers)AIDS Education and Prevention (3 papers)Sexually Transmitted Diseases (3 papers)
- Partner nations
- MalaysiaUnited StatesThailand
In The Last Decade
Sin How Lim
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 861
- Epidemiology 485
- Virology 65
- Social Psychology 287
- General Health Professions 280
Countries citing papers authored by Sin How Lim
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
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-authors
The 25 scholars most cited alongside Sin How Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 155 | |
| 2 | 2012 | 121 | |
| 3 | 2015 | 114 | |
| 4 | 2018 | 58 | |
| 5 | 2015 | 54 | |
| 6 | 2011 | 51 | |
| 7 | 2017 | 48 | |
| 8 | 2015 | 42 | |
| 9 | 2017 | 42 | |
| 10 | 2015 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2013 | 36 | |
| 13 | 2013 | 34 | |
| 14 | 2014 | 34 | |
| 15 | 2011 | 33 | |
| 16 | 2010 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 2022 | 29 | |
| 20 | 2014 | 28 |
About Sin How Lim
Sin How Lim is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, General Health Professions and Virology, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (49 papers), HIV, Drug Use, Sexual Risk (26 papers), Sex work and related issues (23 papers), Adolescent Sexual and Reproductive Health (11 papers), LGBTQ Health, Identity, and Policy (7 papers), HIV Research and Treatment (4 papers), Smoking Behavior and Cessation (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (861 citations), Epidemiology (485 citations), Virology (65 citations), Social Psychology (287 citations) and General Health Professions (280 citations). Sin How Lim has collaborated with scholars based in Malaysia, United States and Thailand. Frequent co-authors include Thomas E. Guadamuz, Chongyi Wei, Stuart Koe, Frederick Lewis Altice, Ron D. Stall, Amy L. Herrick, Adeeba Kamarulzaman, Jeffrey A. Wickersham, Adeeba Kamarulzaman and Priya Lall. Their work appears in journals such as AIDS and Behavior, PLoS ONE, International Journal of STD & AIDS, AIDS Education and Prevention and Sexually Transmitted Diseases.
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.