Daryl Domman
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Vibrio bacteria research studies 11
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- Salmonella and Campylobacter epidemiology 9
- Co-authors
- Matthias Horn (6 shared papers)Nicholas R. Thomson (9 shared papers)Matthew J. Dorman (8 shared papers)Daniel T. Leung (2 shared papers)Astrid Collingro (3 shared papers)Junyi Zou (1 shared paper)Hongjie Yu (1 shared paper)T. Martin Embley (1 shared paper)
- Journals
- Nature Communications (4 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Nature Genetics (2 papers)Molecular Biology and Evolution (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Daryl Domman
25 papers receiving 554 citations
Daryl Domman's Hit Papers
Peers
Comparison fields: 5 of 87
- Endocrinology 220
- Molecular Medicine 65
- Microbiology 71
- Modeling and Simulation 35
- Infectious Diseases 127
Countries citing papers authored by Daryl Domman
This map shows the geographic impact of Daryl Domman'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 Daryl Domman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daryl Domman more than expected).
Fields of papers citing papers by Daryl Domman
This network shows the impact of papers produced by Daryl Domman. 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 Daryl Domman. The network helps show where Daryl Domman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daryl Domman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global landscape of SARS-CoV-2 genomic surveillance and data sharing Hit paper breakdown → | 2022 | 137 |
| 2 | 2017 | 108 | |
| 3 | 2019 | 36 | |
| 4 | 2015 | 34 | |
| 5 | 2014 | 34 | |
| 6 | 2018 | 26 | |
| 7 | 2017 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2010 | 11 | |
| 17 | 2020 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2025 | 2 |
About Daryl Domman
Daryl Domman is a scholar working on Endocrinology, Food Science, Molecular Biology, Immunology and Microbiology, having authored 27 papers that have together received 566 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (11 papers), Salmonella and Campylobacter epidemiology (9 papers), Aquaculture disease management and microbiota (7 papers), Reproductive tract infections research (6 papers), Gut microbiota and health (4 papers), Microbial Community Ecology and Physiology (3 papers), Urinary Tract Infections Management (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (220 citations), Molecular Medicine (65 citations), Microbiology (71 citations), Modeling and Simulation (35 citations) and Infectious Diseases (127 citations). Daryl Domman has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Matthias Horn, Nicholas R. Thomson, Matthew J. Dorman, Daniel T. Leung, Astrid Collingro, Junyi Zou, Hongjie Yu, T. Martin Embley, Xiangyanyu Xu and Wanying Lu. Their work appears in journals such as Nature Communications, Proceedings of the Royal Society B Biological Sciences, Nature Genetics, Molecular Biology and Evolution 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.