Winnie Dong
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
- SARS-CoV-2 detection and testing
Papers in
- Virology 38
- HIV Research and Treatment 38
-
- HIV/AIDS drug development and treatment 29
- HIV/AIDS Research and Interventions 10
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 4
- Co-authors
- P. Richard Harrigan (41 shared papers)Julio Montaner (18 shared papers)Zabrina L. Brumme (24 shared papers)Robert S. Hogg (11 shared papers)Theresa Mo (18 shared papers)Chanson J. Brumme (30 shared papers)Brian Wynhoven (12 shared papers)Benita Yip (6 shared papers)
- Journals
- AIDS (10 papers)The Journal of Infectious Diseases (4 papers)Antiviral Therapy (4 papers)Journal of Clinical Microbiology (3 papers)PLoS ONE (3 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Winnie Dong
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 84
- Virology 1.2k
- Infectious Diseases 1.3k
- Hepatology 80
- Epidemiology 288
- Family Practice 15
Countries citing papers authored by Winnie Dong
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
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.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 349 | |
| 2 | 2006 | 142 | |
| 3 | 2010 | 121 | |
| 4 | 2007 | 120 | |
| 5 | 2010 | 95 | |
| 6 | 2011 | 80 | |
| 7 | 2003 | 80 | |
| 8 | 2006 | 73 | |
| 9 | 2004 | 67 | |
| 10 | 2010 | 67 | |
| 11 | 2020 | 66 | |
| 12 | 2009 | 53 | |
| 13 | 1999 | 46 | |
| 14 | 2015 | 45 | |
| 15 | 2002 | 44 | |
| 16 | 2001 | 43 | |
| 17 | 2011 | 43 | |
| 18 | 2005 | 41 | |
| 19 | 2012 | 34 | |
| 20 | 2002 | 31 |
About Winnie Dong
Winnie Dong is a scholar working on Virology, Infectious Diseases, Epidemiology, Molecular Biology and Hepatology, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (38 papers), HIV/AIDS drug development and treatment (29 papers), HIV/AIDS Research and Interventions (10 papers), Hepatitis C virus research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (4 papers), Virology and Viral Diseases (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (1.3k citations), Hepatology (80 citations), Epidemiology (288 citations) and Family Practice (15 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, The Journal of Infectious Diseases, Antiviral Therapy, Journal of Clinical Microbiology and PLoS ONE.
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.