Daryl Domman
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Microbiology top 5%
- Reproductive tract infections research
Papers in
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- Vibrio bacteria research studies 11
-
- Salmonella and Campylobacter epidemiology 9
- Co-authors
- Matthias Horn (6 shared papers)Nicholas R. Thomson (9 shared papers)Matthew J. Dorman (8 shared papers)Ruijia Sun (1 shared paper)Hongjie Yu (1 shared paper)Yuyang Tian (1 shared paper)Andrew S. Azman (1 shared paper)Yani Wu (1 shared paper)
- Journals
- Nature Communications (4 papers)Molecular Biology and Evolution (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Nature Genetics (2 papers)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Daryl Domman
26 papers receiving 581 citations
Daryl Domman's Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology 219
- Microbiology 71
- Molecular Medicine 52
- Infectious Diseases 120
- Modeling and Simulation 31
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 28 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 | 143 |
| 2 | 2017 | 110 | |
| 3 | 2019 | 41 | |
| 4 | 2014 | 35 | |
| 5 | 2015 | 34 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 13 | |
| 16 | 2010 | 12 | |
| 17 | 2020 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2017 | 4 |
About Daryl Domman
Daryl Domman is a scholar working on Endocrinology, Food Science, Molecular Biology, Immunology and Microbiology, having authored 28 papers that have together received 592 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), Urinary Tract Infections Management (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Endocrinology (219 citations), Microbiology (71 citations), Molecular Medicine (52 citations), Infectious Diseases (120 citations) and Modeling and Simulation (31 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, Ruijia Sun, Hongjie Yu, Yuyang Tian, Andrew S. Azman, Yani Wu, Daniel T. Leung and Wanying Lu. Their work appears in journals such as Nature Communications, Molecular Biology and Evolution, Proceedings of the Royal Society B Biological Sciences, Nature Genetics and Current Biology.
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.