Jonathan Beesley

3.3k citations
16 papers · 350 indexed · h-index 10

Impact in

Papers in

Jonathan Beesley

15 papers receiving 346 citations

Peers

Jonathan Beesley
Comparison fields: 5 of 55
  • Reproductive Medicine 66
  • Oncology 125
  • Cancer Research 65
  • Genetics 82
  • Rheumatology 39
Replace Bibo Yuan with:
Bibo Yuan China
Katie A. Ashton Australia
Zheng Gao China
Naoyuki Iwahashi Japan
Marten van der Zee Netherlands
Shaopeng Qiu China
Ulrika W. Nilsson Sweden
R. C. Horns United States
Valentina Sini Italy
J. Lahodny Austria
Jonathan Beesley relative to Bibo Yuan China Bibo Yuan's profile →
Citations per field
00.5×1.5×2.3×
Bibo Yuan · 1×
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

16 of 16 papers shown
#Work
1 200873
2 200754
3 201535
4 200730
5 201030
6 201130
7 201321
8 199920
9 200814
10 201312
11 20109
12 20089
13 20097
14 20075
15
Quality management series. How we implemented TQM in our laboratory and our blood bank.
19931
16 20100

About Jonathan Beesley

Jonathan Beesley is a scholar working on Medical Laboratory Technology, Cancer Research, Reproductive Medicine, Periodontics and Genetics, having authored 16 papers that have together received 350 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (5 papers), Genetic factors in colorectal cancer (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), DNA Repair Mechanisms (3 papers), Nutritional Studies and Diet (2 papers), Cancer-related molecular mechanisms research (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Reproductive Medicine (66 citations), Oncology (125 citations), Cancer Research (65 citations), Genetics (82 citations) and Rheumatology (39 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, Xiaohong Chen, Anna DeFazio, John L. Hopper, Paul R. Harnett and David L. Duffy. Their work appears in journals such as Breast Cancer Research and Treatment, Molecular Carcinogenesis, Clinical Cancer Research, European Journal of Clinical Nutrition and PLoS Genetics.

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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