Daniel M. Cornforth
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 13
- Bacterial Genetics and Biotechnology 8
- Evolution and Genetic Dynamics 6
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- SARS-CoV-2 detection and testing 3
- Co-authors
- Kevin R. Foster (2 shared papers)Sam P. Brown (6 shared papers)Nicole Mideo (1 shared paper)Marvin Whiteley (5 shared papers)Roman Popat (2 shared papers)Luke McNally (2 shared papers)Jonathan G. Dushoff (1 shared paper)Sang Woo Park (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)MMWR Morbidity and Mortality Weekly Report (3 papers)mBio (2 papers)Microbiology Spectrum (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel M. Cornforth
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 139
- Endocrinology 192
- Molecular Medicine 173
- Modeling and Simulation 120
- Genetics 455
- Microbiology 78
Countries citing papers authored by Daniel M. Cornforth
This map shows the geographic impact of Daniel M. Cornforth'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 Daniel M. Cornforth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Cornforth more than expected).
Fields of papers citing papers by Daniel M. Cornforth
This network shows the impact of papers produced by Daniel M. Cornforth. 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 Daniel M. Cornforth. The network helps show where Daniel M. Cornforth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Cornforth, 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 | 2013 | 372 | |
| 2 | 2012 | 318 | |
| 3 | 2018 | 225 | |
| 4 | 2014 | 154 | |
| 5 | 2020 | 106 | |
| 6 | 2020 | 103 | |
| 7 | 2014 | 92 | |
| 8 | 2011 | 64 | |
| 9 | 2012 | 59 | |
| 10 | 2023 | 44 | |
| 11 | 2015 | 42 | |
| 12 | 2015 | 25 | |
| 13 | 2024 | 24 | |
| 14 | 2023 | 23 | |
| 15 | 2019 | 18 | |
| 16 | 2016 | 14 | |
| 17 | 2022 | 10 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2026 | 2 |
About Daniel M. Cornforth
Daniel M. Cornforth is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Modeling and Simulation and Insect Science, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (8 papers), Evolution and Genetic Dynamics (6 papers), Evolutionary Game Theory and Cooperation (3 papers), SARS-CoV-2 detection and testing (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Biosensors and Analytical Detection (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Endocrinology (192 citations), Molecular Medicine (173 citations), Modeling and Simulation (120 citations), Genetics (455 citations) and Microbiology (78 citations). Daniel M. Cornforth has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kevin R. Foster, Sam P. Brown, Nicole Mideo, Marvin Whiteley, Roman Popat, Luke McNally, Jonathan G. Dushoff, Sang Woo Park, Joshua S. Weitz and Jennifer M. Bomberger. Their work appears in journals such as Proceedings of the National Academy of Sciences, MMWR Morbidity and Mortality Weekly Report, mBio, Microbiology Spectrum and Emerging infectious diseases.
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.