Caroline E. Blane

2.1k citations
59 papers · 1.5k · h-index 20

Impact in

Papers in

Caroline E. Blane

59 papers receiving 1.4k citations

Peers

Caroline E. Blane
Comparison fields: 5 of 104
  • Family Practice 46
  • Radiology, Nuclear Medicine and Imaging 447
  • Urology 99
  • Rheumatology 182
  • Artificial Intelligence 363
Replace Charles F. Timmons with:
Charles F. Timmons United States
Amy C. Clayton United States
Jesse Courtier United States
Sara E. Monaco United States
Lorenzo Faggioni Italy
Sarah M. Bean United States
Ramón Bosch Spain
Melvyn H. Schreiber United States
Jan Verbeek Netherlands
Suzanne M. Selvaggi United States
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Citations per field
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Citations per year

Countries citing papers authored by Caroline E. Blane

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E. Blane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline E. Blane. 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 Caroline E. Blane. The network helps show where Caroline E. Blane may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983181
2 1995119
3 2007109
4 1993100
5 200694
6 200472
7 200467
8 200060
9 200757
10 200452
11 200036
12 200229
13 200629
14 200727
15 200925
16 198523
17 199722
18
Cranial Morphology of Protosiren fraasi (Mammalia, Sirenia) from the Middle Eocene of Egypt: A New Study Using Computed Tomography
199421
19 200120
20 199619

About Caroline E. Blane

Caroline E. Blane is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiology practices and education (12 papers), Innovations in Medical Education (11 papers), Digital Radiography and Breast Imaging (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Screening and Detection (6 papers), Clinical Reasoning and Diagnostic Skills (4 papers) and Congenital Anomalies and Fetal Surgery (4 papers). The work is most often cited by research in Family Practice (46 citations), Radiology, Nuclear Medicine and Imaging (447 citations), Urology (99 citations), Rheumatology (182 citations) and Artificial Intelligence (363 citations). Caroline E. Blane has collaborated with scholars based in United States, Thailand and Sweden. Frequent co-authors include Mark A. Helvie, Marilyn A. Roubidoux, Suzanne L. Bowyer, James T. Cassidy, Donita B. Sullivan, Heang‐Ping Chan, Chintana Paramagul, Daniel H. Teitelbaum, Janet E. Bailey and Berkman Sahiner. Their work appears in journals such as Academic Radiology, Investigative Radiology, Radiology, Medical Physics and American Journal of Roentgenology.

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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