Winnie Dong

3.0k citations
59 papers · 2.0k · h-index 25

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 48
    • HIV/AIDS drug development and treatment 36
    • HIV/AIDS Research and Interventions 23
    • SARS-CoV-2 detection and testing 4

Winnie Dong

57 papers receiving 2.0k citations

Peers

Winnie Dong
Comparison fields: 5 of 92
  • Virology 1.5k
  • Infectious Diseases 1.6k
  • Hepatology 109
  • Epidemiology 413
  • Emergency Medicine 109
Replace Theresa Mo with:
Theresa Mo Canada
Diane Descamps France
Luís Fernando de Macedo Brígido Brazil
Alain Lafeuillade France
Michelle Jones United States
Laurence Vergne France
Roger LeBlanc Canada
Gregory Huhn United States
Bernard Masquelier France
Avelin F. Aghokeng France
Winnie Dong relative to Theresa Mo Canada Theresa Mo's profile →
Citations per field
00.5×5.8×
Theresa Mo · 1×
Citations per year

Countries citing papers authored by Winnie Dong

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005348
2 2006143
3 2010119
4 2007119
5 201095
6 200380
7 201179
8 200672
9 200467
10 201066
11 202065
12 200953
13 199946
14 200244
15 201143
16 200143
17 201542
18 200541
19 201234
20 200432

About Winnie Dong

Winnie Dong is a scholar working on Virology, Infectious Diseases, Epidemiology, Molecular Biology and Immunology, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (48 papers), HIV/AIDS drug development and treatment (36 papers), HIV/AIDS Research and Interventions (23 papers), Hepatitis C virus research (6 papers), Immune Cell Function and Interaction (5 papers), Virology and Viral Diseases (5 papers), Hepatitis B Virus Studies (4 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Virology (1.5k citations), Infectious Diseases (1.6k citations), Hepatology (109 citations), Epidemiology (413 citations) and Emergency Medicine (109 citations). Winnie Dong has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include P. Richard Harrigan, Julio Montaner, Zabrina L. Brumme, Robert S. Hogg, Theresa Mo, Chanson J. Brumme, Brian Wynhoven, Benita Yip, Mark A. Jensen and Luke C. Swenson. Their work appears in journals such as AIDS, Antiviral Therapy, The Journal of Infectious Diseases, Clinical Infectious Diseases and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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