Alyssa T. Watanabe

472 total citations
18 papers, 330 citations indexed

About

Alyssa T. Watanabe is a scholar working on Surgery, Oncology and Artificial Intelligence. According to data from OpenAlex, Alyssa T. Watanabe has authored 18 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Oncology and 6 papers in Artificial Intelligence. Recurrent topics in Alyssa T. Watanabe's work include Global Cancer Incidence and Screening (6 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Alyssa T. Watanabe is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Alyssa T. Watanabe collaborates with scholars based in United States, Japan and Australia. Alyssa T. Watanabe's co-authors include William G. Bradley, Ray C. Mayo, Megha Kapoor, Chi Yung Chim, Jessica W. T. Leung, Christopher Comstock, E. Weise, K Okuda, Kazuyuki Ishihara and Junichi Eguchi and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Computer Assisted Tomography.

In The Last Decade

Alyssa T. Watanabe

15 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alyssa T. Watanabe United States 9 140 114 92 73 54 18 330
Siavash Bolourani United States 9 78 0.6× 37 0.3× 40 0.4× 95 1.3× 31 0.6× 14 286
Laila Cochón United States 11 138 1.0× 38 0.3× 37 0.4× 80 1.1× 20 0.4× 38 317
Hyunho Park South Korea 13 177 1.3× 135 1.2× 41 0.4× 107 1.5× 63 1.2× 19 504
Arash Bedayat United States 14 290 2.1× 94 0.8× 52 0.6× 77 1.1× 205 3.8× 48 584
Thomas J. Marini United States 13 169 1.2× 62 0.5× 58 0.6× 118 1.6× 13 0.2× 31 362
Nicholas Xiao United States 8 146 1.0× 43 0.4× 45 0.5× 45 0.6× 47 0.9× 21 258
Adrian Goudie Australia 14 177 1.3× 31 0.3× 195 2.1× 70 1.0× 79 1.5× 27 575
Wu Seong Kang South Korea 11 247 1.8× 142 1.2× 120 1.3× 70 1.0× 86 1.6× 38 465
Olivier Niel France 7 30 0.2× 23 0.2× 61 0.7× 61 0.8× 50 0.9× 12 229
Toshimasa Matsumoto Japan 12 144 1.0× 36 0.3× 41 0.4× 68 0.9× 77 1.4× 24 308

Countries citing papers authored by Alyssa T. Watanabe

Since Specialization
Citations

This map shows the geographic impact of Alyssa T. Watanabe'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 Alyssa T. Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alyssa T. Watanabe more than expected).

Fields of papers citing papers by Alyssa T. Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alyssa T. Watanabe. 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 Alyssa T. Watanabe. The network helps show where Alyssa T. Watanabe may publish in the future.

Co-authorship network of co-authors of Alyssa T. Watanabe

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

All Works

18 of 18 papers shown
1.
Watanabe, Alyssa T., et al.. (2024). Artificial Intelligence–based Software for Breast Arterial Calcification Detection on Mammograms. Journal of Breast Imaging. 7(2). 168–176.
2.
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
3.
Watanabe, Alyssa T., et al.. (2023). Mammographic Breast Density Model Using Semi-Supervised Learning Reduces Inter-/Intra-Reader Variability. Diagnostics. 13(16). 2694–2694. 3 indexed citations
4.
Retson, Tara, et al.. (2022). Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage. Journal of Breast Imaging. 4(5). 488–495. 6 indexed citations
5.
Tartar, Marie, et al.. (2021). Artificial Intelligence Support for Mammography: In-Practice Clinical Experience. Journal of the American College of Radiology. 18(11). 1510–1513. 7 indexed citations
6.
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
7.
Watanabe, Alyssa T., et al.. (2019). Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography. Journal of Digital Imaging. 32(4). 625–637. 68 indexed citations
8.
Eguchi, Junichi, et al.. (2003). PCR method is essential for detecting Mycobacterium tuberculosis in oral cavity samples. Oral Microbiology and Immunology. 18(3). 156–159. 36 indexed citations
9.
Watanabe, Alyssa T., et al.. (2002). Image-guided epidural steroid injections. Techniques in vascular and interventional radiology. 5(4). 186–193. 14 indexed citations
10.
Okada, Kazuo, et al.. (1999). Clinical application of diadenosine tetraphosphate(Ap4A:F‐1500) for controlled hypotension. Acta Anaesthesiologica Scandinavica. 43(1). 82–86. 15 indexed citations
11.
Watanabe, Alyssa T.. (1998). [Diagnosis of infections with difficulty in isolation and identification of the causative organisms. 3) Acid-fast bacterial infections (caused by Mycobacterium tuberculosis or atypical acid-fast organisms)].. PubMed. 87(11). 2203–10.
12.
Watanabe, Alyssa T., Jason Mackey, & Robert B. Lufkin. (1992). IMAGING DIAGNOSIS AND TEMPORAL APPEARANCE OF SUBARACHNOID HEMORRHAGE. Neuroimaging Clinics of North America. 2(1). 53–59. 1 indexed citations
13.
Teitelbaum, George P., H.V. Ortega, Simon Vinitski, et al.. (1990). Optimization of Gradient-Echo Imaging Parameters for Intracaval Filters and Trapped Thromboemboli. Radiology. 174(3). 1013–1019. 17 indexed citations
14.
Watanabe, Alyssa T., George P. Teitelbaum, Robert B. Lufkin, et al.. (1990). Gradient-Echo MR Imaging of the Lumbar Spine. Journal of Computer Assisted Tomography. 14(3). 410–414. 7 indexed citations
15.
Watanabe, Alyssa T., George P. Teitelbaum, Robert W. Henderson, & William G. Bradley. (1989). Magnetic resonance imaging of cardiac sarcomas. Journal of Thoracic Imaging. 4(2). 90–92. 10 indexed citations
16.
Watanabe, Alyssa T. & R. Brooke Jeffrey. (1987). CT Diagnosis of Traumatic Rupture of the Cisterna Chyli. Journal of Computer Assisted Tomography. 11(1). 175–176. 11 indexed citations
17.
Watanabe, Alyssa T., et al.. (1986). Impending catheter perforation of superior vena cava: radiographic recognition. American Journal of Roentgenology. 146(3). 487–490. 67 indexed citations
18.

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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