Jonathan Beesley

3.4k citations
49 papers · 2.7k · h-index 28

Impact in

Papers in

    • Ovarian cancer diagnosis and treatment 19
    • BRCA gene mutations in cancer 15
    • Genetic Associations and Epidemiology 9

Jonathan Beesley

49 papers receiving 2.7k citations

Peers

Jonathan Beesley
Comparison fields: 5 of 109
  • Reproductive Medicine 661
  • Cancer Research 562
  • Genetics 683
  • Oncology 464
  • Molecular Biology 1.2k
Replace Janusz Menkiszak with:
Janusz Menkiszak Poland
Adriaan Vanderstichele Belgium
Daphne Gschwantler‐Kaulich Austria
Zakaria Einbeigi Sweden
Daniela Zaffaroni Italy
John Abrahamson Canada
Heini J. Lassus Finland
Zachary Fredericksen United Kingdom
Svetlana Bajalica‐Lagercrantz Sweden
Yon‐Dschun Ko Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Beesley

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Beesley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Beesley, 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 Jonathan Beesley Line = papers co-authored together Jonathan Beesley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010295
2 2009255
3 2010216
4 2015196
5 2014195
6 2013142
7 200887
8 201078
9 200875
10 200773
11 200765
12 200958
13 201057
14 201055
15 201154
16 201352
17 201149
18 200948
19 200847
20 200845

About Jonathan Beesley

Jonathan Beesley is a scholar working on Reproductive Medicine, Genetics, Cancer Research, Pathology and Forensic Medicine and Molecular Biology, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (19 papers), BRCA gene mutations in cancer (15 papers), Genetic Associations and Epidemiology (9 papers), Genetic factors in colorectal cancer (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Reproductive Medicine (661 citations), Cancer Research (562 citations), Genetics (683 citations), Oncology (464 citations) and Molecular Biology (1.2k citations). Jonathan Beesley has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Georgia Chenevix‐Trench, Penelope M. Webb, Amanda B. Spurdle, Sharon E. Johnatty, Shahina Pardhan, Anna DeFazio, John Llewelyn Hopper, Sián Fereday, Torukiri I Ibiebele and David L. Duffy. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Breast Cancer Research and Treatment, Nature Genetics, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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