Kevin Davies
- Co-authors
- Helen YarwoodB. Paul MorganJustin C. MasonKatharine L. SugarsMaría de Luján CalcagnoAlejandra WernickeHernán Garcı́a RivelloVivian Labovsky
- Topics
- CRISPR and Genetic Engineering (15 papers)Virus-based gene therapy research (4 papers)BRCA gene mutations in cancer (4 papers)
- Journals
- NatureNature MedicinePLoS ONE
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Kevin Davies
62 papers receiving 432 citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 172
- Immunology 96
- Oncology 82
- Genetics 72
- Cancer Research 34
Countries citing papers authored by Kevin Davies
This map shows the geographic impact of Kevin Davies'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 Kevin Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Davies more than expected).
Fields of papers citing papers by Kevin Davies
This network shows the impact of papers produced by Kevin Davies. 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 Kevin Davies. The network helps show where Kevin Davies may publish in the future.
Co-authorship network of co-authors of Kevin Davies
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Davies. A scholar is included among the top collaborators of Kevin Davies 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 Kevin Davies. Kevin Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | Practical Analysis of TIFF File Size Reductions Achievable Through Compression. | 1 |
| 11 | 11 | |
| 12 | 5 | |
| 13 | Review of Ebtehaj, F., Lindley, B. and Richards, M. (2006) ‘Kinship Matters’ | 1 |
| 14 | 1 | |
| 15 | Blended Education For Disaster Healthcare Professionals: An Evaluation | 1 |
| 16 | 7 | |
| 17 | Cracking the genome : inside the race to unlock human DNA | 46 |
| 18 | 10 | |
| 19 | Mark's use of the Gospel of Thomas Part two | 1 |
| 20 | 1 |
About Kevin Davies
Kevin Davies is a scholar working on Business and International Management, Space and Planetary Science and Genetics, having authored 70 papers that have together received 462 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), Virus-based gene therapy research (4 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Immunology (96 citations), Business and International Management (8 citations) and Transplantation (11 citations). Kevin Davies has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Helen Yarwood, B. Paul Morgan, Justin C. Mason, Katharine L. Sugars, María de Luján Calcagno, Alejandra Wernicke, Hernán Garcı́a Rivello, Vivian Labovsky, Leandro Marcelo Martinez and Norma Alejandra Chasseing. Their work appears in journals such as Nature, Nature Medicine and PLoS ONE.
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.