Petrina A. Causer

2.7k citations
37 papers · 1.9k · h-index 17

Impact in

Papers in

Petrina A. Causer

37 papers receiving 1.8k citations

Peers

Petrina A. Causer
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Cancer Research 496
  • Pathology and Forensic Medicine 581
  • Genetics 441
  • Oncology 334
Replace N Morakkabati-Spitz with:
N Morakkabati-Spitz Germany
S.E. Harms United States
Yaffe Mj Canada
Alana A. Lewin United States
A Nerurkar United Kingdom
In-Ae Park South Korea
Huong T. Le‐Petross United States
Rene Shumak Canada
Habib Rahbar United States
Bronislava M. Sigal United States
Petrina A. Causer relative to N Morakkabati-Spitz Germany N Morakkabati-Spitz's profile →
Citations per field
00.5×2.6×
N Morakkabati-Spitz · 1×
Citations per year

Countries citing papers authored by Petrina A. Causer

Since Specialization
Citations

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

Fields of papers citing papers by Petrina A. Causer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petrina A. Causer. 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 Petrina A. Causer. The network helps show where Petrina A. Causer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008397
2 2006390
3 2011201
4 2012134
5 2005128
6 2002109
7 200885
8 200773
9 201134
10 201133
11 200332
12 201126
13 200325
14 200825
15 201024
16 200621
17 200819
18 200915
19 201414
20 200614

About Petrina A. Causer

Petrina A. Causer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Genetics, Cancer Research and Artificial Intelligence, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (20 papers), BRCA gene mutations in cancer (13 papers), Breast Lesions and Carcinomas (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Breast Cancer Treatment Studies (8 papers), AI in cancer detection (6 papers), Global Cancer Incidence and Screening (5 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cancer Research (496 citations), Pathology and Forensic Medicine (581 citations), Genetics (441 citations) and Oncology (334 citations). Petrina A. Causer has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Donald B. Plewes, Ellen Warner, Rene Shumak, Andrea Eisen, Hans Messersmith, Roberta A. Jong, Derek Armstrong, Mayank Goyal, Kimberley Hill and Mitchell D. Schnall. Their work appears in journals such as Journal of Clinical Oncology, Journal of Digital Imaging, Radiology, The Breast and Journal of Magnetic Resonance Imaging.

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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