Ursula Beetles

836 citations
17 papers · 539 · h-index 8

Impact in

Papers in

Ursula Beetles

16 papers receiving 525 citations

Peers

Ursula Beetles
Comparison fields: 5 of 33
  • Oncology 233
  • Pulmonary and Respiratory Medicine 224
  • Health Informatics 7
  • Artificial Intelligence 162
  • Genetics 134
Replace Valerie Reece with:
Valerie Reece United Kingdom
Soujanya Gadde United Kingdom
Sara Bundred United Kingdom
Paula Stavrinos United Kingdom
Sarah Sampson United Kingdom
Nicola Barr United Kingdom
Daniëlle van der Waal Netherlands
Jeroen J. van den Broek Netherlands
Michael C. S. Bissell United States
B. Séradour France
Ursula Beetles relative to Valerie Reece United Kingdom Valerie Reece's profile →
Citations per field
00.5×5.2×
Valerie Reece · 1×
Citations per year

Countries citing papers authored by Ursula Beetles

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Beetles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015178
2 201293
3 201883
4 201673
5 200837
6 201226
7 201311
8 20159
9 20087
10 20136
11 20115
12 20124
13 20133
14 20182
15 20151
16 20131
17 20040

About Ursula Beetles

Ursula Beetles is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 539 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (10 papers), Global Cancer Incidence and Screening (6 papers), AI in cancer detection (5 papers), Cancer Risks and Factors (3 papers), BRCA gene mutations in cancer (2 papers), Medical Imaging Techniques and Applications (2 papers), Breast Cancer Treatment Studies (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Oncology (233 citations), Pulmonary and Respiratory Medicine (224 citations), Health Informatics (7 citations), Artificial Intelligence (162 citations) and Genetics (134 citations). Ursula Beetles has collaborated with scholars based in United Kingdom, Portugal and India. Frequent co-authors include Mary Wilson, Susan Astley, D. Gareth Evans, Jamie C. Sergeant, Jack Cuzick, Paula Stavrinos, Anthony Howell, Michelle Harvie, Elaine F. Harkness and Adam R. Brentnall. Their work appears in journals such as Breast Cancer Research, Cancer Research, Cancer Prevention Research, Journal of Internal Medicine and British Journal of Radiology.

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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