Matthew C. Radey
- Endocrinology top 0.5%
- Vibrio bacteria research studies 10
- Escherichia coli research studies 4
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 7
- Molecular Biology top 5%
- Gut microbiota and health 8
- Genomics and Phylogenetic Studies 4
- Clinical Biochemistry top 5%
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 5
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- Cystic Fibrosis Research Advances 6
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- Bacterial Genetics and Biotechnology 6
- Co-authors
- Joseph D. MougousM. BrittnacherHillary S. HaydenS. Brook PetersonElhanan BorensteinDustin E. BoschSamuel I. MillerFoSheng Hsu
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Matthew C. Radey
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrinology 525
- Molecular Medicine 421
- Molecular Biology 1.4k
- Clinical Biochemistry 133
- Infectious Diseases 337
Countries citing papers authored by Matthew C. Radey
This map shows the geographic impact of Matthew C. Radey'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 C. Radey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Radey more than expected).
Fields of papers citing papers by Matthew C. Radey
This network shows the impact of papers produced by Matthew C. Radey. 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 C. Radey. The network helps show where Matthew C. Radey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew C. Radey, 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 | 2025 | 1 | |
| 2 | 2023 | 0 | |
| 3 | Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestylebreakdown → | 2023 | 52 |
| 4 | 2022 | 4 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 31 | |
| 8 | A bacterial cytidine deaminase toxin enables CRISPR-free mitochondrial base editingbreakdown → | 2020 | 483 |
| 9 | 2019 | 8 | |
| 10 | 2019 | 109 | |
| 11 | 2018 | 80 | |
| 12 | 2018 | 27 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 113 | |
| 15 | 2016 | 83 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 97 | |
| 18 | 2015 | 57 | |
| 19 | 2014 | 18 | |
| 20 | 2012 | 93 |
About Matthew C. Radey
Matthew C. Radey is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), Gut microbiota and health (8 papers), Antibiotic Resistance in Bacteria (7 papers), Cystic Fibrosis Research Advances (6 papers), Bacterial Genetics and Biotechnology (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Genomics and Phylogenetic Studies (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Endocrinology (525 citations), Molecular Medicine (421 citations) and Molecular Biology (1.4k citations). Matthew C. Radey has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Joseph D. Mougous, M. Brittnacher, Hillary S. Hayden, S. Brook Peterson, Elhanan Borenstein, Dustin E. Bosch, Samuel I. Miller, FoSheng Hsu, Jun Zeng and Marcos H. de Moraes. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.