Stephen Davison
Impact in
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- Animal Behavior and Welfare Studies
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- Human-Animal Interaction Studies
- Animal Genetics and Reproduction
- Genomics and Rare Diseases
Papers in ⓘ
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- Polyamine Metabolism and Applications 1
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- Breast Cancer Treatment Studies 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Jonas Donner (5 shared papers)Oliver P. Forman (3 shared papers)Heidi Anderson (5 shared papers)Hannes Lohi (2 shared papers)Maria Kaukonen (1 shared paper)Angela M. Hughes (1 shared paper)Balasubramanian Ganesan (1 shared paper)Neale Fretwell (1 shared paper)
- Journals
- PLoS Genetics (3 papers)European Journal of Surgical Oncology (2 papers)Animal Genetics (1 paper)Scientific Reports (1 paper)Frontiers in Veterinary Science (1 paper)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Stephen Davison
11 papers receiving 137 citations
Peers
Comparison fields: 5 of 57
- Small Animals 24
- Genetics 66
- Neurology 16
- Cancer Research 19
- Equine 2
Countries citing papers authored by Stephen Davison
This map shows the geographic impact of Stephen Davison'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 Stephen Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Davison more than expected).
Fields of papers citing papers by Stephen Davison
This network shows the impact of papers produced by Stephen Davison. 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 Stephen Davison. The network helps show where Stephen Davison may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Davison, 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 | 2018 | 70 | |
| 2 | 2023 | 22 | |
| 3 | 2014 | 19 | |
| 4 | 2022 | 11 | |
| 5 | 2024 | 8 | |
| 6 | 2016 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2006 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2011 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2024 | 0 |
About Stephen Davison
Stephen Davison is a scholar working on Molecular Biology, Cancer Research, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 141 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Veterinary Oncology Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Polyamine Metabolism and Applications (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Alcohol Consumption and Health Effects (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Small Animals (24 citations), Genetics (66 citations), Neurology (16 citations), Cancer Research (19 citations) and Equine (2 citations). Stephen Davison has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Jonas Donner, Oliver P. Forman, Heidi Anderson, Hannes Lohi, Maria Kaukonen, Angela M. Hughes, Balasubramanian Ganesan, Neale Fretwell, Johan Lindqvist and Soha El Sheikh. Their work appears in journals such as PLoS Genetics, European Journal of Surgical Oncology, Animal Genetics, Scientific Reports and Frontiers in Veterinary Science.
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.