Branson Chen
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 2
- Health top 10%
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
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- Immune Cell Function and Interaction 6
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- CAR-T cell therapy research 5
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- Healthcare Systems and Technology 3
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- Chronic Disease Management Strategies 2
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- Machine Learning in Healthcare 2
- Co-authors
- Jong Bok LeeRaffi KarshafianMargarita TodorovaKullervo HynynenDavid E. GoertzMark D. MindenHyeonjeong KangZhang Li
- Journals
- Clinical Infectious Diseases (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Canadian Medical Association Journal (2 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Branson Chen
26 papers receiving 825 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Applied Microbiology and Biotechnology 55
- Modeling and Simulation 61
- Health 96
- Infectious Diseases 194
- Immunology 185
Countries citing papers authored by Branson Chen
This map shows the geographic impact of Branson 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 Branson Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Branson Chen more than expected).
Fields of papers citing papers by Branson Chen
This network shows the impact of papers produced by Branson 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 Branson Chen. The network helps show where Branson Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Branson Chen, 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 | 2025 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontariobreakdown → | 2022 | 170 |
| 8 | 2022 | 1 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 61 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 46 | |
| 13 | 2019 | 24 | |
| 14 | 2018 | 54 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 80 | |
| 17 | 2017 | 10 | |
| 18 | 2017 | 1 | |
| 19 | 2012 | 95 | |
| 20 | 2012 | 64 |
About Branson Chen
Branson Chen is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Immunology, having authored 28 papers that have together received 837 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (5 papers), COVID-19 Clinical Research Studies (4 papers), Healthcare Systems and Technology (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Chronic Disease Management Strategies (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (55 citations), Modeling and Simulation (61 citations) and Health (96 citations). Branson Chen has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Jong Bok Lee, Raffi Karshafian, Margarita Todorova, Kullervo Hynynen, David E. Goertz, Mark D. Minden, Hyeonjeong Kang, Zhang Li, Jeffrey C. Kwong and Andrew Calzavara. Their work appears in journals such as Clinical Infectious Diseases, Journal of Experimental & Clinical Cancer Research, Canadian Medical Association Journal, Cytokine and Clinical Cancer Research.
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.