Ben Smithers
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 3
- Bioinformatics and Genomic Networks 2
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 1
- Biomedical Text Mining and Ontologies 1
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Julian Gough (8 shared papers)Matt E. Oates (7 shared papers)Arun Prasad Pandurangan (2 shared papers)Hai Fang (4 shared papers)David C. Wraith (1 shared paper)Catherine Sabatos-Peyton (1 shared paper)Bronwen R. Burton (1 shared paper)Johan Verhagen (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (2 papers)Protein Science (1 paper)Environmental Microbiology (1 paper)
- Partner nations
- United KingdomChinaFrance
In The Last Decade
Ben Smithers
8 papers receiving 371 citations
Peers
Comparison fields: 5 of 81
- Immunology 110
- Molecular Biology 195
- Immunology and Allergy 14
- Oncology 44
- Parasitology 8
Countries citing papers authored by Ben Smithers
This map shows the geographic impact of Ben Smithers'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 Ben Smithers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Smithers more than expected).
Fields of papers citing papers by Ben Smithers
This network shows the impact of papers produced by Ben Smithers. 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 Ben Smithers. The network helps show where Ben Smithers may publish in the future.
Co-authors
The 21 scholars most cited alongside Ben Smithers, 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 | 2014 | 141 | |
| 2 | 2018 | 132 | |
| 3 | 2014 | 61 | |
| 4 | 2015 | 14 | |
| 5 | 2019 | 10 | |
| 6 | 2016 | 8 | |
| 7 | 2014 | 5 | |
| 8 | 2023 | 3 |
About Ben Smithers
Ben Smithers is a scholar working on Molecular Biology, Spectroscopy, Biomaterials, Genetics and Immunology, having authored 8 papers that have together received 374 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers), Machine Learning in Bioinformatics (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (110 citations), Molecular Biology (195 citations), Immunology and Allergy (14 citations), Oncology (44 citations) and Parasitology (8 citations). Ben Smithers has collaborated with scholars based in United Kingdom, China and France. Frequent co-authors include Julian Gough, Matt E. Oates, Arun Prasad Pandurangan, Hai Fang, David C. Wraith, Catherine Sabatos-Peyton, Bronwen R. Burton, Johan Verhagen, Stephan Ströbel and Graham J. Britton. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Protein Science and Environmental 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.