Matthew Mayho
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 2
- Ecology 6
- Bacteriophages and microbial interactions 4
- Co-authors
- Julian C. Rayner (3 shared papers)Thomas D. Otto (3 shared papers)Jenna Oberstaller (3 shared papers)Chengqi Wang (3 shared papers)Rays H. Y. Jiang (2 shared papers)John H. Adams (3 shared papers)Min Zhang (3 shared papers)Swamy R. Adapa (2 shared papers)
- Journals
- Microbial Genomics (4 papers)BMC Genomics (2 papers)Science (2 papers)Electrophoresis (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Matthew Mayho
20 papers receiving 1.3k citations
Matthew Mayho's Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Medicine 137
- Endocrinology 119
- Parasitology 124
- Public Health, Environmental and Occupational Health 499
- Virology 60
Countries citing papers authored by Matthew Mayho
This map shows the geographic impact of Matthew Mayho'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 Mayho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Mayho more than expected).
Fields of papers citing papers by Matthew Mayho
This network shows the impact of papers produced by Matthew Mayho. 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 Mayho. The network helps show where Matthew Mayho may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Mayho, 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 | Uncovering the essential genes of the human malaria parasite Plasmodium falciparum by saturation mutagenesis Hit paper breakdown → | 2018 | 576 |
| 2 | 2016 | 143 | |
| 3 | 2015 | 120 | |
| 4 | 2009 | 84 | |
| 5 | 2006 | 67 | |
| 6 | 2019 | 48 | |
| 7 | 2019 | 39 | |
| 8 | 2021 | 39 | |
| 9 | 2017 | 26 | |
| 10 | 2018 | 25 | |
| 11 | 2018 | 22 | |
| 12 | 2012 | 22 | |
| 13 | 2016 | 19 | |
| 14 | 2021 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2022 | 12 | |
| 17 | 2013 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 4 | |
| 20 | 2025 | 2 |
About Matthew Mayho
Matthew Mayho is a scholar working on Molecular Biology, Ecology, Genetics, Public Health, Environmental and Occupational Health and Food Science, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Malaria Research and Control (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Medicine (137 citations), Endocrinology (119 citations), Parasitology (124 citations), Public Health, Environmental and Occupational Health (499 citations) and Virology (60 citations). Matthew Mayho has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Julian C. Rayner, Thomas D. Otto, Jenna Oberstaller, Chengqi Wang, Rays H. Y. Jiang, John H. Adams, Min Zhang, Swamy R. Adapa, Christine J. Boinett and Iraad F. Bronner. Their work appears in journals such as Microbial Genomics, BMC Genomics, Science, Electrophoresis and Scientific Reports.
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.