Sanny Chen

25 papers receiving 1.2k citations

Peers

Sanny Chen
Comparison fields: 5 of 85
  • Infectious Diseases 736
  • Microbiology 15
  • Epidemiology 560
  • General Health Professions 352
  • Virology 62
Replace Sombat Thanprasertsuk with:
Sombat Thanprasertsuk Thailand
Lorna Guinness United Kingdom
Jesus Maria Garcia Calleja Switzerland
Timothy A. Kellogg United States
Fèrnet Leandre United States
Lisa N. Pealer United States
Darrell H. S. Tan Canada
Freya Spielberg United States
Roman Gvetadze United States
Wat Uthaivoravit Thailand
Sanny Chen relative to Sombat Thanprasertsuk Thailand Sombat Thanprasertsuk's profile →
Citations per field
00.5×6.7×
Sombat Thanprasertsuk · 1×
Citations per year

Countries citing papers authored by Sanny Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sanny Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sanny Chen, 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 Sanny Chen Line = papers co-authored together Sanny Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007195
2 2004184
3 2007118
4 2010115
5 200776
6 200374
7 200672
8 200765
9 200551
10 200544
11 200843
12 200437
13 201230
14 201128
15 200727
16 200727
17 201027
18 200318
19 200618
20 200518

About Sanny Chen

Sanny Chen is a scholar working on Infectious Diseases, Epidemiology, Sociology and Political Science, General Health Professions and Virology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), HIV, Drug Use, Sexual Risk (9 papers), Sex work and related issues (4 papers), Adolescent Sexual and Reproductive Health (3 papers), Fungal Infections and Studies (2 papers), HIV Research and Treatment (2 papers), Blood donation and transfusion practices (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (736 citations), Microbiology (15 citations), Epidemiology (560 citations), General Health Professions (352 citations) and Virology (62 citations). Sanny Chen has collaborated with scholars based in United States, Brazil and Uganda. Frequent co-authors include Norman Hearst, Willi McFarland, H. Fisher Raymond, Sandra Schwarcz, Mitchell H. Katz, Linda A. Valleroy, Phoebe Kajubi, Moses R. Kamya, Xiong He and Hui Du. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS and Behavior, Transfusion, Sexually Transmitted Diseases and AIDS Education and Prevention.

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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