Polin Chan

1.9k citations
48 papers · 986 · h-index 17

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Hepatitis B Virus Studies 30
    • HIV, Drug Use, Sexual Risk 14
    • Liver Disease Diagnosis and Treatment 12
    • Hepatitis C virus research 32
    • Hepatitis Viruses Studies and Epidemiology 6

Polin Chan

47 papers receiving 965 citations

Peers

Polin Chan
Comparison fields: 5 of 93
  • Hepatology 436
  • Virology 91
  • Epidemiology 623
  • Infectious Diseases 278
  • Health 115
Replace Kristen Marks with:
Kristen Marks United States
Oluwaseun Falade‐Nwulia United States
Antoine Jaquet France
Lu-Yu Hwang United States
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W.H. Lamb United Kingdom
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Citations per field
00.5×5.8×
Kristen Marks · 1×
Citations per year

Countries citing papers authored by Polin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Polin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Polin Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Polin Chan Line = papers co-authored together Polin Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019136
2 2001113
3 201692
4 202263
5
Two-year treatment outcomes of patients enrolled in India's national first-line antiretroviral therapy programme.
201059
6 201957
7 200255
8 201828
9 201826
10 202121
11 201021
12 201820
13 201820
14 202119
15 202417
16 202117
17 202216
18 201914
19 202014
20 201813

About Polin Chan

Polin Chan is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Health and General Health Professions, having authored 48 papers that have together received 986 indexed citations. Recurring topics across this work include Hepatitis C virus research (32 papers), Hepatitis B Virus Studies (30 papers), HIV, Drug Use, Sexual Risk (14 papers), HIV/AIDS Research and Interventions (12 papers), Liver Disease Diagnosis and Treatment (12 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), HIV/AIDS drug development and treatment (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hepatology (436 citations), Virology (91 citations), Epidemiology (623 citations), Infectious Diseases (278 citations) and Health (115 citations). Polin Chan has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Terence T. Lao, K. F. Tam, Weiming Tang, Fuqiang Cui, Joseph D. Tucker, Zhongdan Chen, Kathrine Meyers, Songyuan Tang, Philippa Easterbrook and Thomas Leung. Their work appears in journals such as PLoS ONE, Infectious Diseases of Poverty, JHEP Reports, BMC Infectious Diseases and Liver International.

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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