Stephen Davison

414 total citations
12 papers, 141 citations indexed

About

Stephen Davison is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Stephen Davison has authored 12 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Stephen Davison's work include Breast Cancer Treatment Studies (3 papers), Cancer Genomics and Diagnostics (2 papers) and Veterinary Oncology Research (2 papers). Stephen Davison is often cited by papers focused on Breast Cancer Treatment Studies (3 papers), Cancer Genomics and Diagnostics (2 papers) and Veterinary Oncology Research (2 papers). Stephen Davison collaborates with scholars based in United Kingdom, United States and Finland. Stephen Davison's co-authors include Heidi Anderson, Oliver P. Forman, Jonas Donner, Hannes Lohi, Neale Fretwell, Balasubramanian Ganesan, Maria Kaukonen, Angela M. Hughes, Johan Lindqvist and Shramana Banerjee and has published in prestigious journals such as Scientific Reports, PLoS Genetics and Journal of Animal Science.

In The Last Decade

Stephen Davison

11 papers receiving 137 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Davison United Kingdom 5 66 51 24 19 16 12 141
Kaisa Kyöstilä Finland 10 116 1.8× 107 2.1× 26 1.1× 6 0.3× 37 2.3× 17 295
Nadine Botherel France 11 54 0.8× 94 1.8× 29 1.2× 46 2.4× 13 0.8× 13 192
James E. J. Bedard United States 7 41 0.6× 112 2.2× 23 1.0× 46 2.4× 4 0.3× 10 196
Claire E. Lyons United States 5 57 0.9× 51 1.0× 3 0.1× 7 0.4× 22 1.4× 15 229
Nicholas B. Blackburn Australia 9 29 0.4× 65 1.3× 3 0.1× 31 1.6× 16 1.0× 24 237
Klaus P. Brüssow Poland 12 78 1.2× 142 2.8× 6 0.3× 23 1.2× 4 0.3× 29 312
Hayley Goullée Australia 9 39 0.6× 123 2.4× 7 0.3× 18 0.9× 15 0.9× 17 230
Margaret J. McMillin United States 6 160 2.4× 130 2.5× 7 0.3× 23 1.2× 2 0.1× 6 286
Tiger Zhou Australia 13 41 0.6× 99 1.9× 3 0.1× 17 0.9× 19 1.2× 20 364
Ada Watson United States 8 71 1.1× 85 1.7× 4 0.2× 5 0.3× 5 0.3× 13 275

Countries citing papers authored by Stephen Davison

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stephen Davison

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Davison. A scholar is included among the top collaborators of Stephen Davison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen Davison. Stephen Davison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Abitbol, Marie, Heidi Anderson, Paolo Ferrari, et al.. (2024). Classification of feline hypertrophic cardiomyopathy-associated gene variants according to the American College of Medical Genetics and Genomics guidelines. Frontiers in Veterinary Science. 11. 1327081–1327081. 8 indexed citations
3.
Donner, Jonas, et al.. (2023). Genetic prevalence and clinical relevance of canine Mendelian disease variants in over one million dogs. PLoS Genetics. 19(2). e1010651–e1010651. 22 indexed citations
4.
Anderson, Heidi, Stephen Davison, Kaisa Kyöstilä, et al.. (2022). Genetic epidemiology of blood type, disease and trait variants, and genome-wide genetic diversity in over 11,000 domestic cats. PLoS Genetics. 18(6). e1009804–e1009804. 11 indexed citations
5.
Luong, Tu Vinh, Jennifer Watkins, Emmanuel Tsochatzis, et al.. (2020). Elastic fibres in alcoholic liver disease. Scientific Reports. 10(1). 20098–20098. 3 indexed citations
6.
Donner, Jonas, Heidi Anderson, Stephen Davison, et al.. (2018). Frequency and distribution of 152 genetic disease variants in over 100,000 mixed breed and purebred dogs. PLoS Genetics. 14(4). e1007361–e1007361. 70 indexed citations
7.
Banerjee, Shramana, Norman Williams, T. Davidson, et al.. (2016). The use of onestep nucleic acid amplification (OSNA) and tumour related factors in the treatment of axillary breast cancer: A predictive model. European Journal of Surgical Oncology. 42(5). 641–649. 3 indexed citations
8.
Simpson, Barry J., L A Kock, Jonas Donner, et al.. (2016). P4056 Evaluation of single nucleotide polymorphism (SNP) markers for canine parentage analysis. Journal of Animal Science. 94(suppl_4). 106–107. 1 indexed citations
10.
Banerjee, Shramana, et al.. (2012). Results of a “belt and braces” approach to using OSNA: What to do when there is discordance with histology. European Journal of Surgical Oncology. 38(5). 447–447. 1 indexed citations
12.
Davison, Stephen & Gian S. Jhangri. (2006). Patients hémodialysés : impact de la douleur chronique sur la dépression, le sommeil et le désir d’arrêter la dialyse. Médecine Palliative. 5(3). 168–168. 2 indexed citations

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.

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