Arlene Chua
Impact in
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS Research and Interventions 11
- HIV/AIDS drug development and treatment 8
- Viral Infections and Vectors 7
- Viral Infections and Outbreaks Research 6
- Epidemiology 13
- HIV, Drug Use, Sexual Risk 3
- Co-authors
- Yee‐Sin Leo (16 shared papers)Oon Tek Ng (8 shared papers)Mark Chen (4 shared papers)Mar Kyaw Win (4 shared papers)Angela Chow (3 shared papers)Nagaendran Kandiah (1 shared paper)Lai Gwen Chan (1 shared paper)Francis Moussy (3 shared papers)
- Journals
- PLoS ONE (5 papers)Emerging infectious diseases (3 papers)BMJ Global Health (2 papers)AIDS Research and Human Retroviruses (2 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- SingaporeSwitzerlandUnited States
In The Last Decade
Arlene Chua
36 papers receiving 873 citations
Peers
Comparison fields: 5 of 92
- Virology 197
- Applied Microbiology and Biotechnology 64
- Infectious Diseases 562
- Modeling and Simulation 91
- Molecular Medicine 97
Countries citing papers authored by Arlene Chua
This map shows the geographic impact of Arlene Chua'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 Arlene Chua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arlene Chua more than expected).
Fields of papers citing papers by Arlene Chua
This network shows the impact of papers produced by Arlene Chua. 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 Arlene Chua. The network helps show where Arlene Chua may publish in the future.
Co-authors
The 25 scholars most cited alongside Arlene Chua, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 99 | |
| 2 | 2018 | 78 | |
| 3 | 2009 | 70 | |
| 4 | 2016 | 62 | |
| 5 | 2012 | 51 | |
| 6 | 2009 | 49 | |
| 7 | 2017 | 48 | |
| 8 | 2018 | 46 | |
| 9 | 2011 | 39 | |
| 10 | 2019 | 35 | |
| 11 | 2019 | 32 | |
| 12 | 2015 | 30 | |
| 13 | 2017 | 25 | |
| 14 | 2013 | 23 | |
| 15 | 2010 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2019 | 19 | |
| 18 | 2007 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 2015 | 17 |
About Arlene Chua
Arlene Chua is a scholar working on Infectious Diseases, Epidemiology, Virology, Public Health, Environmental and Occupational Health and Emergency Medicine, having authored 38 papers that have together received 893 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (11 papers), HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (8 papers), Viral Infections and Vectors (7 papers), Viral Infections and Outbreaks Research (6 papers), HIV-related health complications and treatments (4 papers), COVID-19 epidemiological studies (4 papers) and HIV, Drug Use, Sexual Risk (3 papers). The work is most often cited by research in Virology (197 citations), Applied Microbiology and Biotechnology (64 citations), Infectious Diseases (562 citations), Modeling and Simulation (91 citations) and Molecular Medicine (97 citations). Arlene Chua has collaborated with scholars based in Singapore, Switzerland and United States. Frequent co-authors include Yee‐Sin Leo, Oon Tek Ng, Mark Chen, Mar Kyaw Win, Angela Chow, Nagaendran Kandiah, Lai Gwen Chan, Francis Moussy, Vernon J. Lee and H H Tan. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, BMJ Global Health, AIDS Research and Human Retroviruses and PLoS neglected tropical 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.