Benjamin J. Read
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Virology top 10%
Papers in
-
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
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- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 3
- Co-authors
- Darrell J. Irvine (8 shared papers)William R. Schief (2 shared papers)Mark Bathe (3 shared papers)Eike‐Christian Wamhoff (3 shared papers)Tyson J. Moyer (2 shared papers)Sayak Mukherjee (1 shared paper)Rémi Veneziano (1 shared paper)Matthew B. Stone (1 shared paper)
- Journals
- ACS Nano (2 papers)Acta Biomaterialia (1 paper)Current Opinion in Immunology (1 paper)Advanced Therapeutics (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Benjamin J. Read
9 papers receiving 730 citations
Benjamin J. Read's Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 289
- Virology 62
- Infectious Diseases 138
- Molecular Biology 475
- Ecology 98
Countries citing papers authored by Benjamin J. Read
This map shows the geographic impact of Benjamin J. Read'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 J. Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Read more than expected).
Fields of papers citing papers by Benjamin J. Read
This network shows the impact of papers produced by Benjamin J. Read. 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 J. Read. The network helps show where Benjamin J. Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin J. Read, 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 | Role of nanoscale antigen organization on B-cell activation probed using DNA origami Hit paper breakdown → | 2020 | 311 |
| 2 | 2018 | 212 | |
| 3 | 2020 | 82 | |
| 4 | 2021 | 37 | |
| 5 | 2022 | 34 | |
| 6 | 2022 | 31 | |
| 7 | 2016 | 22 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 3 |
About Benjamin J. Read
Benjamin J. Read is a scholar working on Immunology, Molecular Biology, Virology, Ecology and Infectious Diseases, having authored 9 papers that have together received 736 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), HIV Research and Treatment (3 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (3 papers), Bacteriophages and microbial interactions (2 papers), T-cell and B-cell Immunology (2 papers) and Escherichia coli research studies (1 paper). The work is most often cited by research in Immunology (289 citations), Virology (62 citations), Infectious Diseases (138 citations), Molecular Biology (475 citations) and Ecology (98 citations). Benjamin J. Read has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Darrell J. Irvine, William R. Schief, Mark Bathe, Eike‐Christian Wamhoff, Tyson J. Moyer, Sayak Mukherjee, Rémi Veneziano, Matthew B. Stone, Jayajit Das and Tyson R. Shepherd. Their work appears in journals such as ACS Nano, Acta Biomaterialia, Current Opinion in Immunology, Advanced Therapeutics and Science.
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.