Benjamin J. Read
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Virology 3
- HIV Research and Treatment 3
-
- Immunotherapy and Immune Responses 5
- Complement system in diseases 1
- Co-authors
- Darrell J. Irvine (7 shared papers)William R. Schief (2 shared papers)Eike‐Christian Wamhoff (3 shared papers)Mark Bathe (3 shared papers)Jayajit Das (1 shared paper)Rémi Veneziano (1 shared paper)Sayak Mukherjee (1 shared paper)Matthew B. Stone (1 shared paper)
- Journals
- ACS Nano (2 papers)Acta Biomaterialia (1 paper)Advanced Therapeutics (1 paper)Current Opinion in Immunology (1 paper)Science (1 paper)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Benjamin J. Read
9 papers receiving 862 citations
Benjamin J. Read's Hit Papers
Peers
Comparison fields: 5 of 50
- Virology 81
- Immunology 267
- Biomaterials 111
- Molecular Biology 411
- Infectious Diseases 102
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 | 353 |
| 2 | 2018 | 260 | |
| 3 | 2020 | 108 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 41 | |
| 6 | 2022 | 41 | |
| 7 | 2016 | 23 | |
| 8 | 2022 | 5 | |
| 9 | 2025 | 1 |
About Benjamin J. Read
Benjamin J. Read is a scholar working on Virology, Immunology, Molecular Biology, Pharmaceutical Science and Biomaterials, having authored 9 papers that have together received 881 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), Glycosylation and Glycoproteins Research (2 papers), Advancements in Transdermal Drug Delivery (1 paper), Advanced Drug Delivery Systems (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Virology (81 citations), Immunology (267 citations), Biomaterials (111 citations), Molecular Biology (411 citations) and Infectious Diseases (102 citations). Benjamin J. Read has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Darrell J. Irvine, William R. Schief, Eike‐Christian Wamhoff, Mark Bathe, Jayajit Das, Rémi Veneziano, Sayak Mukherjee, Matthew B. Stone, Tyson R. Shepherd and Tyson J. Moyer. Their work appears in journals such as ACS Nano, Acta Biomaterialia, Advanced Therapeutics, Current Opinion in Immunology 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.