Branson Chen

28 papers receiving 856 citations

Branson Chen's Hit Papers

Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario 2022 · 176 citations
1760+1+2Years since publication50100150

Peers

Branson Chen
Comparison fields: 5 of 103
  • Applied Microbiology and Biotechnology 57
  • Modeling and Simulation 51
  • Infectious Diseases 173
  • Immunology 168
  • Health 61
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Branson Chen relative to Simon Warren United States Simon Warren's profile →
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Countries citing papers authored by Branson Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Branson Chen Line = papers co-authored together Branson Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario
Hit paper breakdown →
2022176
2 201296
3 201783
4 201781
5 201265
6 202164
7 201859
8 201854
9 202049
10 202033
11 201924
12 202019
13 202312
14 201710
15 20189
16 20216
17 20165
18 20234
19 20212
20 20232

About Branson Chen

Branson Chen is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 29 papers that have together received 866 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers), Ultrasound and Hyperthermia Applications (2 papers), T-cell and B-cell Immunology (2 papers), Bacterial Infections and Vaccines (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Ultrasound and Cavitation Phenomena (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (57 citations), Modeling and Simulation (51 citations), Infectious Diseases (173 citations), Immunology (168 citations) and Health (61 citations). Branson Chen has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Jong Bok Lee, Margarita Todorova, David E. Goertz, Kullervo Hynynen, Raffi Karshafian, Mark D. Minden, Hyeonjeong Kang, Zhang Li, Jeffrey C. Kwong and Kevin L. Schwartz. Their work appears in journals such as Canadian Medical Association Journal, Clinical Infectious Diseases, Cytokine, Journal of Experimental & Clinical Cancer Research and CMAJ Open.

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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