Daniel Padfield
Impact in
- Ecology top 5%
- Physiological and biochemical adaptations
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Ecological Modeling top 10%
Papers in
- Co-authors
- Angus Buckling (18 shared papers)Meaghan Castledine (9 shared papers)Samraat Pawar (2 shared papers)Gabriel Yvon‐Durocher (5 shared papers)Pawel Sierocinski (5 shared papers)Michiel Vos (6 shared papers)Richard Bendall (1 shared paper)Matteo Dossena (1 shared paper)
- Journals
- Microbiology (3 papers)The ISME Journal (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Journal of Evolutionary Biology (2 papers)FEMS Microbiology Ecology (2 papers)
- Partner nations
- United KingdomSouth AfricaNetherlands
In The Last Decade
Daniel Padfield
31 papers receiving 745 citations
Peers
Comparison fields: 5 of 99
- Ecology 414
- Ecological Modeling 50
- Oceanography 104
- Pollution 86
- Nature and Landscape Conservation 77
Countries citing papers authored by Daniel Padfield
This map shows the geographic impact of Daniel Padfield'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 Padfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Padfield more than expected).
Fields of papers citing papers by Daniel Padfield
This network shows the impact of papers produced by Daniel Padfield. 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 Padfield. The network helps show where Daniel Padfield may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Padfield, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 122 | |
| 2 | 2022 | 87 | |
| 3 | 2021 | 83 | |
| 4 | 2020 | 68 | |
| 5 | Parallel evolution of Pseudomonas aeruginosa phage resistance and virulence loss in response to phage treatment in vivo and in vitro | 2022 | 53 |
| 6 | 2019 | 49 | |
| 7 | 2020 | 32 | |
| 8 | 2017 | 32 | |
| 9 | 2022 | 31 | |
| 10 | 2018 | 27 | |
| 11 | 2018 | 22 | |
| 12 | 2020 | 19 | |
| 13 | 2023 | 14 | |
| 14 | 2024 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 8 |
About Daniel Padfield
Daniel Padfield is a scholar working on Ecology, Genetics, Molecular Biology, Sociology and Political Science and Oceanography, having authored 32 papers that have together received 749 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (13 papers), Physiological and biochemical adaptations (6 papers), Microbial Community Ecology and Physiology (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (5 papers), Gut microbiota and health (5 papers) and Marine and coastal ecosystems (4 papers). The work is most often cited by research in Ecology (414 citations), Ecological Modeling (50 citations), Oceanography (104 citations), Pollution (86 citations) and Nature and Landscape Conservation (77 citations). Daniel Padfield has collaborated with scholars based in United Kingdom, South Africa and Netherlands. Frequent co-authors include Angus Buckling, Meaghan Castledine, Samraat Pawar, Gabriel Yvon‐Durocher, Pawel Sierocinski, Michiel Vos, Richard Bendall, Matteo Dossena, Guy Woodward and Diego R. Barneche. Their work appears in journals such as Microbiology, The ISME Journal, Proceedings of the Royal Society B Biological Sciences, Journal of Evolutionary Biology and FEMS Microbiology Ecology.
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.