Tracy Chan
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Cervical Cancer and HPV Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 15
- Influenza Virus Research Studies 10
- Respiratory viral infections research 4
- Cervical Cancer and HPV Research 3
- Co-authors
- Gaston De Serres (8 shared papers)Danuta M. Skowronski (9 shared papers)Martin Petric (6 shared papers)Suzana Sabaiduc (7 shared papers)Nathalie Bastien (5 shared papers)Hugues Charest (5 shared papers)Mel Krajden (6 shared papers)Naveed Zafar Janjua (3 shared papers)
- Journals
- Eurosurveillance (2 papers)Clinical Infectious Diseases (2 papers)The Journal of Infectious Diseases (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Tracy Chan
16 papers receiving 593 citations
Peers
Comparison fields: 5 of 61
- Epidemiology 510
- Modeling and Simulation 40
- Infectious Diseases 98
- Agronomy and Crop Science 47
- Health 33
Countries citing papers authored by Tracy Chan
This map shows the geographic impact of Tracy 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 Tracy Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Chan more than expected).
Fields of papers citing papers by Tracy Chan
This network shows the impact of papers produced by Tracy 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 Tracy Chan. The network helps show where Tracy Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 98 | |
| 2 | 2018 | 79 | |
| 3 | 2010 | 65 | |
| 4 | 2018 | 64 | |
| 5 | 2006 | 59 | |
| 6 | 2011 | 55 | |
| 7 | 2011 | 48 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 33 | |
| 10 | 2020 | 32 | |
| 11 | 2011 | 17 | |
| 12 | 2015 | 11 | |
| 13 | 2023 | 5 | |
| 14 | 1996 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2025 | 0 |
About Tracy Chan
Tracy Chan is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Parasitology and Complementary and alternative medicine, having authored 17 papers that have together received 623 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (4 papers), Cervical Cancer and HPV Research (3 papers), Genomics and Phylogenetic Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Parasitic Diseases Research and Treatment (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Epidemiology (510 citations), Modeling and Simulation (40 citations), Infectious Diseases (98 citations), Agronomy and Crop Science (47 citations) and Health (33 citations). Tracy Chan has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Gaston De Serres, Danuta M. Skowronski, Martin Petric, Suzana Sabaiduc, Nathalie Bastien, Hugues Charest, Mel Krajden, Naveed Zafar Janjua, Yan Li and Annie Mak. Their work appears in journals such as Eurosurveillance, Clinical Infectious Diseases, The Journal of Infectious Diseases, Bioorganic & Medicinal Chemistry Letters and Journal of Clinical Microbiology.
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.