Kevin J. Dawson
- Molecular Biology top 10%
- Genetics top 2%
- Cancer Research top 2%
- Hematology top 2%
- Materials Chemistry
- Co-authors
- Peter J. CampbellIñigo MartincorenaMichael R. StrattonKhalid BelkhirRenaud VitalisKeiran RainePeter Van LooKerstin Haase
- Topics
- Evolution and Genetic Dynamics (9 papers)Genetic diversity and population structure (8 papers)Plant and animal studies (6 papers)
- Cited by
- Cancer ResearchGeneticsHematology
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Kevin J. Dawson
41 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.0k
- Genetics 907
- Cancer Research 771
- Hematology 361
- Materials Chemistry 298
Countries citing papers authored by Kevin J. Dawson
This map shows the geographic impact of Kevin J. Dawson'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 J. Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin J. Dawson more than expected).
Fields of papers citing papers by Kevin J. Dawson
This network shows the impact of papers produced by Kevin J. Dawson. 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 J. Dawson. The network helps show where Kevin J. Dawson may publish in the future.
Co-authorship network of co-authors of Kevin J. Dawson
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Dawson. A scholar is included among the top collaborators of Kevin J. Dawson 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 J. Dawson. Kevin J. Dawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Life histories of myeloproliferative neoplasms inferred from phylogenies.breakdown → | 148 |
| 3 | 84 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Universal Patterns of Selection in Cancer and Somatic Tissuesbreakdown → | 802 |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 59 | |
| 10 | The effect of BG00012 on conversion of gadolinium-enhancing lesions to T1-hypointense lesions | 2 |
| 11 | 4 | |
| 12 | 35 | |
| 13 | 13 | |
| 14 | 184 | |
| 15 | 231 | |
| 16 | 14 | |
| 17 | 43 | |
| 18 | 56 | |
| 19 | 7 | |
| 20 | 7 |
About Kevin J. Dawson
Kevin J. Dawson is a scholar working on Ceramics and Composites, Genetics and Hematology, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Genetic diversity and population structure (8 papers) and Plant and animal studies (6 papers). The work is most often cited by research in Cancer Research (771 citations), Genetics (907 citations) and Hematology (361 citations). Kevin J. Dawson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Peter J. Campbell, Iñigo Martincorena, Michael R. Stratton, Khalid Belkhir, Renaud Vitalis, Keiran Raine, Peter Van Loo, Kerstin Haase, Helen Davies and Moritz Gerstung. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.