Benjamin S. Chambers
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
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- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Influenza Virus Research Studies 7
- Respiratory viral infections research 7
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- RNA and protein synthesis mechanisms 2
- Protein Structure and Dynamics 1
- Receptor Mechanisms and Signaling 1
- vaccines and immunoinformatics approaches 1
- Co-authors
- Scott E. Hensley (5 shared papers)Kaela Parkhouse (2 shared papers)Ted M. Ross (1 shared paper)Kevin Alby (1 shared paper)Jia Xue (1 shared paper)Carolina B. López (1 shared paper)Yang Li (1 shared paper)Richard L. Hodinka (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)Clinical Infectious Diseases (1 paper)Journal of Virology (1 paper)Cell Reports (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Benjamin S. Chambers
10 papers receiving 426 citations
Peers
Comparison fields: 5 of 48
- Epidemiology 285
- Infectious Diseases 90
- Immunology 81
- Agronomy and Crop Science 37
- Modeling and Simulation 15
Countries citing papers authored by Benjamin S. Chambers
This map shows the geographic impact of Benjamin S. Chambers'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 Benjamin S. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin S. Chambers more than expected).
Fields of papers citing papers by Benjamin S. Chambers
This network shows the impact of papers produced by Benjamin S. Chambers. 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 Benjamin S. Chambers. The network helps show where Benjamin S. Chambers may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin S. Chambers, 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 | 2015 | 170 | |
| 2 | 2013 | 67 | |
| 3 | 2016 | 50 | |
| 4 | 2018 | 48 | |
| 5 | 2014 | 44 | |
| 6 | 2019 | 23 | |
| 7 | 2015 | 17 | |
| 8 | 2021 | 6 | |
| 9 | 2019 | 3 | |
| 10 | Vaccine strain selection for influenza A viruses is complicated by unique pre-exposure histories and rapid mutation of glycoproteins | 2016 | 1 |
About Benjamin S. Chambers
Benjamin S. Chambers is a scholar working on Epidemiology, Molecular Biology, Immunology, Endocrine and Autonomic Systems and Ecology, having authored 10 papers that have together received 429 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (7 papers), interferon and immune responses (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein Structure and Dynamics (1 paper), Biosensors and Analytical Detection (1 paper), Receptor Mechanisms and Signaling (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Epidemiology (285 citations), Infectious Diseases (90 citations), Immunology (81 citations), Agronomy and Crop Science (37 citations) and Modeling and Simulation (15 citations). Benjamin S. Chambers has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Scott E. Hensley, Kaela Parkhouse, Ted M. Ross, Kevin Alby, Jia Xue, Carolina B. López, Yang Li, Richard L. Hodinka, Ingo H. Engels and Yu Wang. Their work appears in journals such as PLoS Pathogens, Clinical Infectious Diseases, Journal of Virology, Cell Reports and Frontiers in 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.