Renee W. Pinsky

556 total citations
20 papers, 388 citations indexed

About

Renee W. Pinsky is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Renee W. Pinsky has authored 20 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Oncology and 8 papers in Artificial Intelligence. Recurrent topics in Renee W. Pinsky's work include AI in cancer detection (8 papers), Breast Lesions and Carcinomas (7 papers) and Global Cancer Incidence and Screening (6 papers). Renee W. Pinsky is often cited by papers focused on AI in cancer detection (8 papers), Breast Lesions and Carcinomas (7 papers) and Global Cancer Incidence and Screening (6 papers). Renee W. Pinsky collaborates with scholars based in United States. Renee W. Pinsky's co-authors include Mark A. Helvie, Paul L. Carson, Katherine A. Klein, Lubomir M. Hadjiiski, Heang‐Ping Chan, Marilyn A. Roubidoux, Mitra Noroozian, Deborah O. Jeffries, Sahand Rahnama‐Moghadam and Stamatia Destounis and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Breast Cancer Research and Treatment.

In The Last Decade

Renee W. Pinsky

18 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Renee W. Pinsky United States 10 187 180 159 119 91 20 388
M. Meier-Meitinger Germany 13 170 0.9× 161 0.9× 137 0.9× 92 0.8× 84 0.9× 28 432
Anders Cohen United States 5 188 1.0× 172 1.0× 195 1.2× 340 2.9× 88 1.0× 6 604
Pier Paolo Campanino Italy 12 155 0.8× 218 1.2× 134 0.8× 51 0.4× 167 1.8× 18 432
Andrea Arieno United Kingdom 14 270 1.4× 219 1.2× 238 1.5× 158 1.3× 109 1.2× 28 476
Mengsu Xiao China 12 56 0.3× 203 1.1× 171 1.1× 78 0.7× 118 1.3× 39 390
Irma Saarenmaa Finland 12 111 0.6× 76 0.4× 86 0.5× 260 2.2× 83 0.9× 15 385
Ray C. Mayo United States 10 167 0.9× 210 1.2× 146 0.9× 63 0.5× 37 0.4× 16 422
Francesca Abbate Italy 12 119 0.6× 366 2.0× 105 0.7× 49 0.4× 139 1.5× 31 549
Aba Harcos Germany 12 98 0.5× 240 1.3× 114 0.7× 56 0.5× 215 2.4× 20 448
Law J United Kingdom 13 198 1.1× 177 1.0× 70 0.4× 146 1.2× 25 0.3× 30 357

Countries citing papers authored by Renee W. Pinsky

Since Specialization
Citations

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

Fields of papers citing papers by Renee W. Pinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renee W. Pinsky. 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 Renee W. Pinsky. The network helps show where Renee W. Pinsky may publish in the future.

Co-authorship network of co-authors of Renee W. Pinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Renee W. Pinsky. A scholar is included among the top collaborators of Renee W. Pinsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renee W. Pinsky. Renee W. Pinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Saripalli, Anjali L., Katherine A. Klein, Mark A. Helvie, et al.. (2018). Resident and Faculty Concordance in Screening Mammography: Impact of Experience and Opportunities for Focused Instruction. 1(1). 1 indexed citations
3.
Jeffries, Deborah O., et al.. (2018). Breast care problems on call: training residents to manage effectively. Emergency Radiology. 25(4). 375–380.
4.
Neal, Colleen H., et al.. (2017). Harms of Restrictive Risk-Based Mammographic Breast Cancer Screening. American Journal of Roentgenology. 210(1). 228–234. 8 indexed citations
5.
Jeffries, Deborah O., Colleen H. Neal, Mitra Noroozian, et al.. (2015). Surgical biopsy is still necessary for BI-RADS 4 calcifications found on digital mammography that are technically too faint for stereotactic core biopsy. Breast Cancer Research and Treatment. 154(3). 557–561. 3 indexed citations
6.
Pinsky, Renee W., et al.. (2015). Morphologic Mimics of Invasive Lobular Carcinoma. Archives of Pathology & Laboratory Medicine. 139(10). 1253–1257. 9 indexed citations
7.
Patterson, Stephanie K., Colleen H. Neal, Deborah O. Jeffries, et al.. (2014). Outcomes of solid palpable masses assessed as BI-RADS 3 or 4A: a retrospective review. Breast Cancer Research and Treatment. 147(2). 311–316. 15 indexed citations
8.
Xie, Zhixing, Fong Ming Hooi, J. Brian Fowlkes, et al.. (2013). Combined Photoacoustic and Acoustic Imaging of Human Breast Specimens in the Mammographic Geometry. Ultrasound in Medicine & Biology. 39(11). 2176–2184. 22 indexed citations
9.
Padilla, Frédéric, Marilyn A. Roubidoux, Chintana Paramagul, et al.. (2013). Breast Mass Characterization Using 3‐Dimensional Automated Ultrasound as an Adjunct to Digital Breast Tomosynthesis. Journal of Ultrasound in Medicine. 32(1). 93–104. 21 indexed citations
10.
Xie, Zhixing, Fong Ming Hooi, J. Brian Fowlkes, et al.. (2013). Combined photoacoustic and ultrasound imaging of human breast in vivo in the mammographic geometry. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8581. 85813D–85813D. 3 indexed citations
11.
Pinsky, Renee W., et al.. (2012). Alveolar Variant of Invasive Lobular Carcinoma in a Fibroadenoma. The Breast Journal. 18(6). 613–614. 3 indexed citations
12.
Noroozian, Mitra, Lubomir M. Hadjiiski, Sahand Rahnama‐Moghadam, et al.. (2011). Digital Breast Tomosynthesis Is Comparable to Mammographic Spot Views for Mass Characterization. Radiology. 262(1). 61–68. 119 indexed citations
13.
Destounis, Stamatia, Mary S. Newell, & Renee W. Pinsky. (2011). Breast Imaging and Intervention in the Overweight and Obese Patient. American Journal of Roentgenology. 196(2). 296–302. 32 indexed citations
14.
Carson, Paul L., Boyun Wang, Gerald L. LeCarpentier, et al.. (2010). Local compression in automated breast ultrasound in the mammographic geometry. Deep Blue (University of Michigan). 1787–1790. 6 indexed citations
15.
Pinsky, Renee W. & Mark A. Helvie. (2010). Mammographic Breast Density: Effect on Imaging and Breast Cancer Risk. Journal of the National Comprehensive Cancer Network. 8(10). 1157–1165. 80 indexed citations
16.
Sinha, Sumedha P., Fong Ming Hooi, Zeeshan Syed, et al.. (2010). Machine learning for noise removal on breast ultrasound images. 26. 2020–2023. 4 indexed citations
17.
Dillman, Jonathan R., Perry G. Pernicano, Jonathan B. McHugh, et al.. (2009). Cross-Sectional Imaging of Primary Thoracic Sarcomas with Histopathologic Correlation: A Review for the Radiologist. Current Problems in Diagnostic Radiology. 39(1). 17–29. 12 indexed citations
18.
Sahiner, Berkman, Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2009). Multi-modality CADx. Academic Radiology. 16(7). 810–818. 25 indexed citations
19.
Blane, Caroline E., et al.. (2007). Costs of Achieving High Patient Compliance After Recall from Screening Mammography. American Journal of Roentgenology. 188(4). 894–896. 3 indexed citations
20.
Pinsky, Renee W., Murray Rebner, Lori J. Pierce, et al.. (2007). Recurrent Cancer After Breast-Conserving Surgery with Radiation Therapy for Ductal Carcinoma in Situ: Mammographic Features, Method of Detection, and Stage of Recurrence. American Journal of Roentgenology. 189(1). 140–144. 22 indexed citations

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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