Daly Avendaño

852 total citations
17 papers, 543 citations indexed

About

Daly Avendaño is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Daly Avendaño has authored 17 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Daly Avendaño's work include MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (4 papers). Daly Avendaño is often cited by papers focused on MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (4 papers). Daly Avendaño collaborates with scholars based in Italy, United States and Mexico. Daly Avendaño's co-authors include Maria Adele Marino, Katja Pinker, Doris Leithner, Maxine S. Jochelson, Elizabeth A. Morris, Christopher C. Riedl, Sunitha B. Thakur, Janice S. Sung, Blanca Bernard‐Davila and Danny F. Martinez and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Oncologist and Journal of Nuclear Medicine.

In The Last Decade

Daly Avendaño

17 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daly Avendaño Italy 12 368 170 149 117 83 17 543
Lonie R. Salkowski United States 13 245 0.7× 93 0.5× 157 1.1× 155 1.3× 105 1.3× 24 468
Heather Greenwood United States 14 310 0.8× 148 0.9× 210 1.4× 63 0.5× 87 1.0× 36 486
Amro Masarwah Finland 12 219 0.6× 165 1.0× 128 0.9× 47 0.4× 70 0.8× 26 465
Hsiu-Pei Tsai Taiwan 9 206 0.6× 163 1.0× 94 0.6× 105 0.9× 224 2.7× 15 434
Blanca Bernard‐Davila United States 13 410 1.1× 113 0.7× 93 0.6× 98 0.8× 43 0.5× 25 568
Brittany Z. Dashevsky United States 12 490 1.3× 214 1.3× 71 0.5× 150 1.3× 93 1.1× 30 668
David Schacht United States 15 411 1.1× 187 1.1× 212 1.4× 93 0.8× 48 0.6× 23 590
Francesca Abbate Italy 12 366 1.0× 146 0.9× 139 0.9× 105 0.9× 119 1.4× 31 549
Claudio Ferranti Italy 9 185 0.5× 131 0.8× 157 1.1× 65 0.6× 51 0.6× 26 368
Joelle M. Schoonjans United States 7 150 0.4× 158 0.9× 210 1.4× 116 1.0× 89 1.1× 8 432

Countries citing papers authored by Daly Avendaño

Since Specialization
Citations

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

Fields of papers citing papers by Daly Avendaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daly Avendaño. 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 Daly Avendaño. The network helps show where Daly Avendaño may publish in the future.

Co-authorship network of co-authors of Daly Avendaño

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

All Works

17 of 17 papers shown
1.
Avendaño, Daly, Maria Adele Marino, Carmelo Sofia, et al.. (2024). Validation of the Mirai model for predicting breast cancer risk in Mexican women. Insights into Imaging. 15(1). 244–244. 2 indexed citations
2.
Avendaño, Daly, et al.. (2023). 3D print model for surgical planning in a case of recurrent osteoblastic osteosarcoma of the left maxilla. A case report. SHILAP Revista de lepidopterología. 18(12). 4345–4350. 2 indexed citations
3.
Sofia, Carmelo, et al.. (2022). Male breast: An unusual case of metastasis of squamous cell carcinoma of the skin. SHILAP Revista de lepidopterología. 18(3). 809–813. 1 indexed citations
4.
Marino, Maria Adele, Daly Avendaño, Varadan Sevilimedu, et al.. (2022). Limited value of multiparametric MRI with dynamic contrast-enhanced and diffusion-weighted imaging in non-mass enhancing breast tumors. European Journal of Radiology. 156. 110523–110523. 9 indexed citations
5.
Avendaño, Daly, Giuseppe Cicero, Carmelo Sofia, et al.. (2021). High-risk lesions of the breast: concurrent diagnostic tools and management recommendations. Insights into Imaging. 12(1). 63–63. 49 indexed citations
6.
Avendaño, Daly, Maria Adele Marino, Natsuko Onishi, et al.. (2020). Can Follow-up be Avoided for Probably Benign US Masses with No Enhancement on MRI?. European Radiology. 31(2). 975–982. 6 indexed citations
7.
Marino, Maria Adele, Doris Leithner, Janice S. Sung, et al.. (2020). Radiomics for Tumor Characterization in Breast Cancer Patients: A Feasibility Study Comparing Contrast-Enhanced Mammography and Magnetic Resonance Imaging. Diagnostics. 10(7). 492–492. 34 indexed citations
8.
Gluskin, Jill S., Carolina Rossi Saccarelli, Daly Avendaño, et al.. (2020). Contrast-Enhanced Mammography for Screening Women after Breast Conserving Surgery. Cancers. 12(12). 3495–3495. 25 indexed citations
9.
Marino, Maria Adele, et al.. (2019). Lymph Node Imaging in Patients with Primary Breast Cancer: Concurrent Diagnostic Tools. The Oncologist. 25(2). e231–e242. 135 indexed citations
10.
Marino, Maria Adele, Katja Pinker, Doris Leithner, et al.. (2019). Contrast-Enhanced Mammography and Radiomics Analysis for Noninvasive Breast Cancer Characterization: Initial Results. Molecular Imaging and Biology. 22(3). 780–787. 61 indexed citations
11.
Leithner, Doris, Blanca Bernard‐Davila, Danny F. Martinez, et al.. (2019). Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes. Molecular Imaging and Biology. 22(2). 453–461. 59 indexed citations
12.
Marino, Maria Adele, Ayca Gucalp, Doris Leithner, et al.. (2019). Mammographic screening in male patients at high risk for breast cancer: is it worth it?. Breast Cancer Research and Treatment. 177(3). 705–711. 21 indexed citations
13.
Leithner, Doris, Thomas H. Helbich, Blanca Bernard‐Davila, et al.. (2019). Multiparametric 18F-FDG PET/MRI of the Breast: Are There Differences in Imaging Biomarkers of Contralateral Healthy Tissue Between Patients With and Without Breast Cancer?. Journal of Nuclear Medicine. 61(1). 20–25. 11 indexed citations
14.
Marino, Maria Adele, et al.. (2019). Proton MR spectroscopy in the breast: Technical innovations and clinical applications. Journal of Magnetic Resonance Imaging. 50(4). 1033–1046. 40 indexed citations
15.
Avendaño, Daly, Maria Adele Marino, Doris Leithner, et al.. (2019). Limited role of DWI with apparent diffusion coefficient mapping in breast lesions presenting as non-mass enhancement on dynamic contrast-enhanced MRI. Breast Cancer Research. 21(1). 136–136. 48 indexed citations
16.
Thakur, Sunitha B., João V. Horvat, Ileana Hancu, et al.. (2019). Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis. Journal of Magnetic Resonance Imaging. 50(1). 239–249. 26 indexed citations
17.
Álvarez, I., Javier Ramı́rez, J. M. Górriz, et al.. (2018). Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Contrast Media & Molecular Imaging. 2018. 1–11. 14 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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