Petrina A. Causer

2.7k citations
33 papers · 2.1k · h-index 19

Impact in

Papers in

Petrina A. Causer

33 papers receiving 2.1k citations

Peers

Petrina A. Causer
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Cancer Research 394
  • Pathology and Forensic Medicine 354
  • Genetics 472
  • Oncology 237
Replace Nuschin Morakkabati-Spitz with:
Nuschin Morakkabati-Spitz Germany
Laura Martincich Italy
Inge Marie Obdeijn Netherlands
Ruediger Schulz-Wendtland Germany
Radu A. Manoliu Netherlands
S.E. Harms United States
Yaffe Mj Canada
Ash Nerurkar United Kingdom
Ku Sang Kim South Korea
Rene S. Shumak Canada
Petrina A. Causer relative to Nuschin Morakkabati-Spitz Germany Nuschin Morakkabati-Spitz's profile →
Citations per field
00.5×2×3×4×
Nuschin 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008441
2 2006420
3 2011221
4 2012148
5 2005139
6 2002119
7 200892
8 200786
9 201270
10 201138
11 201137
12 200332
13 201131
14 200530
15 200329
16 200829
17 201026
18 200622
19 200819
20 200918

About Petrina A. Causer

Petrina A. Causer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Artificial Intelligence and Genetics, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (17 papers), Breast Cancer Treatment Studies (6 papers), AI in cancer detection (5 papers), Breast Lesions and Carcinomas (4 papers), BRCA gene mutations in cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Digital Radiography and Breast Imaging (3 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.0k citations), Cancer Research (394 citations), Pathology and Forensic Medicine (354 citations), Genetics (472 citations) and Oncology (237 citations). Petrina A. Causer has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Ellen Warner, Donald B. Plewes, Rene S. Shumak, Andrea F. Eisen, Hans J. Messersmith, Roberta A. Jong, Derek C. Armstrong, Kimberley A. Hill, Mayank Goyal and Stuart J. Schnitt. Their work appears in journals such as Radiology, Journal of Imaging Informatics in Medicine, The Breast, Cancer Epidemiology Biomarkers & Prevention and Journal of Surgical Oncology.

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.

Explore authors with similar magnitude of impact