Matthew Bashton

6.9k citations
26 papers · 1.1k indexed · h-index 13

Matthew Bashton

23 papers receiving 1.1k citations

Peers

Matthew Bashton
Comparison fields: 5 of 108
  • Molecular Biology 853
  • Periodontics 36
  • Computational Theory and Mathematics 105
  • Biotechnology 41
  • Aging 7
Replace Michael D. Scholle with:
Michael D. Scholle United States
Koto Hayakawa Canada
Jonathan D. Taylor United Kingdom
Hongjun Bai United States
Sergio Martínez Cuesta United Kingdom
Michael A. Gorman Australia
Daniel B. Roche France
Venkataraman Parthasarathy Germany
Piotr Drabik Poland
Kristen M. Varney United States
Matthew Bashton relative to Michael D. Scholle United States Michael D. Scholle's profile →
Citations per field
00.5×3.3×
Michael D. Scholle · 1×
Citations per year

Countries citing papers authored by Matthew Bashton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Matthew Bashton Line = papers co-authored together Matthew Bashton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20241
5 202122
6 202111
7 20207
8 201922
9 20189
10 201844
11 201617
12 20161
13 201562
14 200996
15 20096
16 200735
17 2007140
18 2004301
19 2003134
20 2002115

About Matthew Bashton

Matthew Bashton is a scholar working on Molecular Biology, Infectious Diseases, Modeling and Simulation, Periodontics 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), Microbial Community Ecology and Physiology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Microbial Natural Products and Biosynthesis (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, Syed Asad Rahman, Gemma L. Holliday and Rainer Schräder. 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.

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