Matthew Bashton
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
- Periodontics top 10%
Papers in
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- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 5
- Gut microbiota and health 3
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- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 3
- Co-authors
- Cyrus Chothia (3 shared papers)Sarah A. Teichmann (2 shared papers)Christine Vogel (2 shared papers)Nicola D. Kerrison (1 shared paper)Janet M. Thornton (4 shared papers)Julian Gough (1 shared paper)Carlo Berzuini (1 shared paper)Gemma L. Holliday (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Clinical Epigenetics (1 paper)Scientific Reports (1 paper)Molecular Microbiology (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Matthew Bashton
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 853
- Periodontics 36
- Computational Theory and Mathematics 105
- Biotechnology 41
- Aging 7
Countries citing papers authored by Matthew Bashton
This map shows the geographic impact of Matthew Bashton'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 Matthew Bashton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Bashton more than expected).
Fields of papers citing papers by Matthew Bashton
This network shows the impact of papers produced by Matthew Bashton. 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 Matthew Bashton. The network helps show where Matthew Bashton may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Bashton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 301 | |
| 2 | 2007 | 140 | |
| 3 | 2003 | 134 | |
| 4 | 2002 | 115 | |
| 5 | 2009 | 96 | |
| 6 | 2015 | 62 | |
| 7 | 2018 | 44 | |
| 8 | 2007 | 35 | |
| 9 | 2021 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2006 | 19 | |
| 12 | 2016 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 11 | |
| 15 | 2018 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2009 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Matthew Bashton
Matthew Bashton is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), RNA and protein synthesis mechanisms (5 papers), COVID-19 Clinical Research Studies (3 papers), Gut microbiota and health (3 papers), Computational Drug Discovery Methods (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Molecular Biology (853 citations), Periodontics (36 citations), Computational Theory and Mathematics (105 citations), Biotechnology (41 citations) and Aging (7 citations). Matthew Bashton has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Cyrus Chothia, Sarah A. Teichmann, Christine Vogel, Nicola D. Kerrison, Janet M. Thornton, Julian Gough, Carlo Berzuini, Gemma L. Holliday, Rainer Schräder and Syed Asad Rahman. Their work appears in journals such as Journal of Molecular Biology, Clinical Epigenetics, Scientific Reports, Molecular Microbiology and Nature Communications.
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.