Keith Chan
Impact in
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS Research and Interventions 46
- HIV/AIDS drug development and treatment 7
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Robert S. Hogg (63 shared papers)Julio S. G. Montaner (41 shared papers)Michael V. O’Shaughnessy (16 shared papers)Edward J. Mills (9 shared papers)Curtis Cooper (11 shared papers)Katherine Heath (7 shared papers)Nathan Paul Ford (5 shared papers)Celestin Bakanda (6 shared papers)
- Journals
- AIDS (17 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (13 papers)PLoS ONE (5 papers)AIDS Care (3 papers)BMC Public Health (3 papers)
- Partner nations
- CanadaUnited StatesSouth Africa
In The Last Decade
Keith Chan
74 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 111
- Infectious Diseases 2k
- Virology 285
- Emergency Medicine 459
- Epidemiology 414
- General Health Professions 291
Countries citing papers authored by Keith Chan
This map shows the geographic impact of Keith 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 Keith Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Chan more than expected).
Fields of papers citing papers by Keith Chan
This network shows the impact of papers produced by Keith 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 Keith Chan. The network helps show where Keith Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Chan, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 351 | |
| 2 | 2001 | 197 | |
| 3 | 2013 | 176 | |
| 4 | 2005 | 152 | |
| 5 | 2004 | 131 | |
| 6 | 2002 | 120 | |
| 7 | 2015 | 110 | |
| 8 | 2004 | 106 | |
| 9 | 2006 | 101 | |
| 10 | 2015 | 97 | |
| 11 | 2003 | 90 | |
| 12 | 2000 | 88 | |
| 13 | 2003 | 84 | |
| 14 | 2002 | 82 | |
| 15 | 2013 | 79 | |
| 16 | 2007 | 72 | |
| 17 | 2011 | 67 | |
| 18 | 2001 | 64 | |
| 19 | 2011 | 64 | |
| 20 | 2011 | 64 |
About Keith Chan
Keith Chan is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Epidemiology and Hepatology, having authored 74 papers that have together received 3.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (46 papers), HIV, Drug Use, Sexual Risk (11 papers), HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (6 papers), HIV-related health complications and treatments (5 papers), Hepatitis C virus research (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Hospital Admissions and Outcomes (2 papers). The work is most often cited by research in Infectious Diseases (2k citations), Virology (285 citations), Emergency Medicine (459 citations), Epidemiology (414 citations) and General Health Professions (291 citations). Keith Chan has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include Robert S. Hogg, Julio S. G. Montaner, Michael V. O’Shaughnessy, Edward J. Mills, Curtis Cooper, Katherine Heath, Nathan Paul Ford, Celestin Bakanda, Josephine Birungi and Evan Wood. Their work appears in journals such as AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS ONE, AIDS Care and BMC Public Health.
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.