Matthew Byott

2.0k citations
6 papers · 80 · h-index 3

Impact in

    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology

Papers in

    • HIV/AIDS Research and Interventions 2
    • HIV/AIDS drug development and treatment 2
    • Viral gastroenteritis research and epidemiology 1
    • SARS-CoV-2 detection and testing 1

Matthew Byott

6 papers receiving 80 citations

Peers

Matthew Byott
Comparison fields: 5 of 21
  • Virology 16
  • Infectious Diseases 57
  • Health Informatics 1
  • Applied Microbiology and Biotechnology 1
  • Epidemiology 10
Replace Hervé Raoul Tazokong with:
Hervé Raoul Tazokong Cameroon
Gadji Mahamat Cameroon
Aurora Bettini Italy
Nei‐Yuan Hsiao South Africa
Holly R. Hack United States
Laura Viñuela Spain
Sara Nunes Vaz Brazil
Cuixian Yang China
Maria C. Bermúdez‐González United States
Matthew Byott relative to Hervé Raoul Tazokong Cameroon Hervé Raoul Tazokong's profile →
Citations per field
00.5×7.5×
Hervé Raoul Tazokong · 1×
Citations per year

Countries citing papers authored by Matthew Byott

Since Specialization
Citations

This map shows the geographic impact of Matthew Byott'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 Byott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Byott more than expected).

Fields of papers citing papers by Matthew Byott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Byott. 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 Byott. The network helps show where Matthew Byott may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew Byott, 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 Byott Line = papers co-authored together Matthew Byott links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202054
2 202218
3 20195
4 20251
5 20231
6 20201

About Matthew Byott

Matthew Byott is a scholar working on Infectious Diseases, Molecular Biology, Virology, Epidemiology and Agronomy and Crop Science, having authored 6 papers that have together received 80 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (2 papers), HIV/AIDS drug development and treatment (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Biosensors and Analytical Detection (1 paper), HIV Research and Treatment (1 paper), SARS-CoV-2 detection and testing (1 paper), Zoonotic diseases and public health (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Virology (16 citations), Infectious Diseases (57 citations), Health Informatics (1 citation), Applied Microbiology and Biotechnology (1 citation) and Epidemiology (10 citations). Matthew Byott has collaborated with scholars based in United Kingdom, Malawi and Canada. Frequent co-authors include Eleni Nastouli, Judith Heaney, Ravindra K. Gupta, Ankur Gupta‐Wright, Joep J. van Oosterhout, Henry C. Mwandumba, Daniel Grint, Elizabeth L. Corbett, Katherine Fielding and Dounia Cherkaoui. Their work appears in journals such as Clinical Infectious Diseases, The Lancet HIV, Viruses, Frontiers in Public Health and Diagnostics.

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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