Keiran Raine

69.2k citations
17 papers · 1.5k indexed · 1 hit paper · h-index 9
Topics
Cancer Genomics and Diagnostics (14 papers)Genomics and Phylogenetic Studies (6 papers)DNA Repair Mechanisms (3 papers)

In The Last Decade

Keiran Raine

17 papers receiving 1.5k citations

Hit Papers

Universal Patterns of Selection in Cancer and Somatic Tis...20172026202020232017250500750

Peers

Keiran Raine
Comparison fields: 5 of 78
  • Molecular Biology 966
  • Cancer Research 812
  • Genetics 326
  • Oncology 318
  • Pathology and Forensic Medicine 232
Replace Teresa Davoli with:
Teresa Davoli United States
Kerstin Haase Germany
Nicholas J. Haradhvala United States
Barbara Tabak United States
Gordon Saksena United States
Sebastian Großmann United Kingdom
Sandrine Sander Germany
Sara Widaa United Kingdom
Marc J. Prindle United States
Rachel Erlich United States
Keiran Raine relative to Teresa Davoli United States Teresa Davoli's profile →
Citations per field
00.5×1.5×
Teresa Davoli · 1×
Citations per year

Countries citing papers authored by Keiran Raine

Since Specialization
Citations

This map shows the geographic impact of Keiran Raine'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 Keiran Raine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiran Raine more than expected).

Fields of papers citing papers by Keiran Raine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keiran Raine. 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 Keiran Raine. The network helps show where Keiran Raine may publish in the future.

Co-authorship network of co-authors of Keiran Raine

This figure shows the co-authorship network connecting the top 25 collaborators of Keiran Raine. A scholar is included among the top collaborators of Keiran Raine 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 Keiran Raine. Keiran Raine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 4
3 13
4
Universal Patterns of Selection in Cancer and Somatic Tissuesbreakdown →
802
5 44
6 82
7 57
8 44
9 3
10 126
11 276
12 1
13 1
14 2
15 1
16 1
17 8

About Keiran Raine

Keiran Raine is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Genomics and Phylogenetic Studies (6 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cancer Research (812 citations), Aging (42 citations) and Molecular Biology (966 citations). Keiran Raine has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Peter J. Campbell, Michael R. Stratton, Helen Davies, Peter Van Loo, Kerstin Haase, Moritz Gerstung, Iñigo Martincorena, Kevin J. Dawson, Serena Nik‐Zainal and Yee Ling Wu. Their work appears in journals such as Cell, Nature Communications and Journal of Clinical Oncology.

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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