Ray C. Mayo

596 total citations
16 papers, 422 citations indexed

About

Ray C. Mayo is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ray C. Mayo has authored 16 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ray C. Mayo's work include Radiology practices and education (6 papers), Global Cancer Incidence and Screening (5 papers) and AI in cancer detection (5 papers). Ray C. Mayo is often cited by papers focused on Radiology practices and education (6 papers), Global Cancer Incidence and Screening (5 papers) and AI in cancer detection (5 papers). Ray C. Mayo collaborates with scholars based in United States. Ray C. Mayo's co-authors include Jessica W. T. Leung, Jay R. Parikh, Carrie M. Rochman, Brandi T. Nicholson, Jennifer A. Harvey, Alyssa T. Watanabe, Megha Kapoor, Yi Jonathan Zhang, Leonardo Rangel-Castilla and Richard Klucznik and has published in prestigious journals such as American Journal of Roentgenology, Radiographics and World Neurosurgery.

In The Last Decade

Ray C. Mayo

16 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ray C. Mayo United States 10 210 167 146 68 63 16 422
Erica Pollack United States 8 355 1.7× 71 0.4× 106 0.7× 68 1.0× 84 1.3× 20 562
Thomas Weißmann Germany 13 210 1.0× 143 0.9× 49 0.3× 70 1.0× 80 1.3× 41 468
Khashayar Namdar Canada 10 280 1.3× 109 0.7× 81 0.6× 37 0.5× 49 0.8× 26 470
Julia Arfi‐Rouche France 9 138 0.7× 107 0.6× 121 0.8× 15 0.2× 104 1.7× 25 315
Simon Keek Netherlands 8 390 1.9× 138 0.8× 102 0.7× 49 0.7× 70 1.1× 12 497
Rushuang Mao China 7 415 2.0× 85 0.5× 237 1.6× 28 0.4× 63 1.0× 12 521
Yixin Hu China 8 400 1.9× 83 0.5× 239 1.6× 29 0.4× 60 1.0× 14 522
Camilla Scapicchio Italy 5 254 1.2× 70 0.4× 68 0.5× 28 0.4× 65 1.0× 9 336
Isaac Daimiel Naranjo United States 12 415 2.0× 111 0.7× 165 1.1× 32 0.5× 54 0.9× 20 548
Sungwon Ham South Korea 9 202 1.0× 90 0.5× 69 0.5× 40 0.6× 19 0.3× 18 385

Countries citing papers authored by Ray C. Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Ray C. Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray C. Mayo. 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 Ray C. Mayo. The network helps show where Ray C. Mayo may publish in the future.

Co-authorship network of co-authors of Ray C. Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Ray C. Mayo. A scholar is included among the top collaborators of Ray C. Mayo 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 Ray C. Mayo. Ray C. Mayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Watanabe, Alyssa T., et al.. (2024). Potential Impact of an Artificial Intelligence–based Mammography Triage Algorithm on Performance and Workload in a Population-based Screening Sample. Journal of Breast Imaging. 7(1). 45–53. 1 indexed citations
2.
Mayo, Ray C., et al.. (2020). Financing Artificial Intelligence in Medical Imaging: Show Me the Money. Journal of the American College of Radiology. 17(1). 175–177. 5 indexed citations
3.
Chun, Stephen G., Zhongxing Liao, Melenda Jeter, et al.. (2020). Metabolic Responses to Metformin in Inoperable Early-stage Non–Small Cell Lung Cancer Treated With Stereotactic Radiotherapy. American Journal of Clinical Oncology. 43(4). 231–235. 18 indexed citations
4.
Mayo, Ray C., et al.. (2019). Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD. Journal of Digital Imaging. 32(4). 618–624. 63 indexed citations
5.
Mayo, Ray C., et al.. (2019). Preoperative localization of breast lesions: Current techniques. Clinical Imaging. 56. 1–8. 31 indexed citations
6.
Mayo, Ray C. & Jessica W. T. Leung. (2019). Impact of Artificial Intelligence on Women's Imaging: Cost-Benefit Analysis. American Journal of Roentgenology. 212(5). 1172–1173. 11 indexed citations
7.
Mayo, Ray C., et al.. (2018). Impact of Second-Opinion Interpretation of Breast Imaging Studies in Patients Not Currently Diagnosed With Breast Cancer. Journal of the American College of Radiology. 15(7). 980–987.e1. 9 indexed citations
8.
Mayo, Ray C., et al.. (2018). Screening Mammography Findings From One Standard Projection Only in the Era of Full-Field Digital Mammography and Digital Breast Tomosynthesis. American Journal of Roentgenology. 211(2). 445–451. 10 indexed citations
9.
Mayo, Ray C. & Jessica W. T. Leung. (2018). Axillary web syndrome: What the radiologist needs to know. The Breast Journal. 25(1). 153–153. 1 indexed citations
10.
Mayo, Ray C. & Jessica W. T. Leung. (2017). Artificial intelligence and deep learning – Radiology's next frontier?. Clinical Imaging. 49. 87–88. 87 indexed citations
11.
Mayo, Ray C. & Jessica W. T. Leung. (2017). Novel Wireless Cardiac Monitor Located in the Breast: Imaging Appearance and Function. The Breast Journal. 23(5). 599–601. 4 indexed citations
12.
Mayo, Ray C., Kathryn Pearson, David E. Avrin, & Jessica W. T. Leung. (2016). The Economic and Social Value of an Image Exchange Network: A Case for the Cloud. Journal of the American College of Radiology. 14(1). 130–134. 6 indexed citations
13.
Mayo, Ray C. & Jay R. Parikh. (2016). Breast Imaging: The Face of Imaging 3.0. Journal of the American College of Radiology. 13(8). 1003–1007. 34 indexed citations
14.
Nachiappan, Arun C., et al.. (2015). Operator Radiation Dose Reduction During Fluoroscopic Interventional Procedures. Journal of the American College of Radiology. 12(5). 527–530. 4 indexed citations
15.
Nicholson, Brandi T., et al.. (2015). Digital Breast Tomosynthesis in the Diagnostic Setting: Indications and Clinical Applications. Radiographics. 35(4). 975–990. 80 indexed citations
16.
Díaz, Orlando, Leonardo Rangel-Castilla, Sean M. Barber, et al.. (2012). Middle Cerebral Artery Aneurysms: A Single-Center Series Comparing Endovascular and Surgical Treatment. World Neurosurgery. 81(2). 322–329. 58 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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