David Dearnaley

4.0k citations
22 papers · 1.4k · h-index 18

Impact in

Papers in

David Dearnaley

22 papers receiving 1.3k citations

Peers

David Dearnaley
Comparison fields: 5 of 83
  • Radiation 275
  • Pulmonary and Respiratory Medicine 438
  • Cancer Research 196
  • Oncology 198
  • Molecular Biology 419
Replace Sang Soo Kim with:
Sang Soo Kim South Korea
J. S. Lee United States
Omar Y. Mian United States
Christian Nicolaj Andreassen Denmark
Maud H. W. Starmans Netherlands
Elizabeth Yan United States
Xianshu Gao China
Liyi Xie China
M. Ebert Germany
S. Gerum Germany
David Dearnaley relative to Sang Soo Kim South Korea Sang Soo Kim's profile →
Citations per field
00.5×4.4×
Sang Soo Kim · 1×
Citations per year

Countries citing papers authored by David Dearnaley

Since Specialization
Citations

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

Fields of papers citing papers by David Dearnaley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Dearnaley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Dearnaley Line = papers co-authored together David Dearnaley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Influence of cytokine gene polymorphisms on the development of prostate cancer.
2002303
2 1999242
3 2004135
4
The frequency of germ-line mutations in the breast cancer predisposition genes BRCA1 and BRCA2 in familial prostate cancer. The Cancer Research Campaign/British Prostate Group United Kingdom Familial Prostate Cancer Study Collaborators.
200097
5 200184
6 200477
7 199551
8 199543
9 200242
10 200539
11 200238
12 199936
13 201035
14 200834
15 200029
16 200528
17 200323
18 200021
19 200617
20 20033

About David Dearnaley

David Dearnaley is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Radiation, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), BRCA gene mutations in cancer (4 papers), Genetic factors in colorectal cancer (4 papers), Prostate Cancer Treatment and Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Radiation (275 citations), Pulmonary and Respiratory Medicine (438 citations), Cancer Research (196 citations), Oncology (198 citations) and Molecular Biology (419 citations). David Dearnaley has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Rosalind A. Eeles, Vincent Khoo, Anna Dowe, Douglas F. Easton, Christine Southgate, Martin O. Leach, Janet E. Husband, John Suckling, Anwar R. Padhani and Stephen M. Edwards. Their work appears in journals such as British Journal of Cancer, Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, British Journal of Urology and Prostate Cancer and Prostatic Diseases.

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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