Sofia Antunes

804 total citations
18 papers, 598 citations indexed

About

Sofia Antunes is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sofia Antunes has authored 18 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sofia Antunes's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Medical Image Segmentation Techniques (4 papers). Sofia Antunes is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Medical Image Segmentation Techniques (4 papers). Sofia Antunes collaborates with scholars based in Italy, Portugal and United States. Sofia Antunes's co-authors include Antonio Esposito, Alessandro Del Maschio, Francesco De Cobelli, Anna Palmisano, Caterina Colantoni, Giovanna Musco, Veronica Bianchi, Patrizia D’Adamo, Alessandro Ambrosi and Isaline Rowe and has published in prestigious journals such as Nature Communications, Neuroscience and Journal of the American Society of Nephrology.

In The Last Decade

Sofia Antunes

18 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofia Antunes Italy 11 237 184 130 116 104 18 598
Tetsuhiro Kakimoto Japan 14 39 0.2× 154 0.8× 79 0.6× 37 0.3× 135 1.3× 23 602
Weihao Li China 17 102 0.4× 181 1.0× 94 0.7× 20 0.2× 278 2.7× 42 563
Brian J. Song United States 19 508 2.1× 192 1.0× 29 0.2× 52 0.4× 40 0.4× 50 1.0k
Zhe-Yu Hu China 13 141 0.6× 118 0.6× 126 1.0× 30 0.3× 26 0.3× 44 517
Masato Suzuki Japan 11 177 0.7× 69 0.4× 103 0.8× 29 0.3× 9 0.1× 34 514
Jiehua Li China 11 63 0.3× 72 0.4× 131 1.0× 13 0.1× 59 0.6× 43 359
Shinichiro Imamura Japan 16 127 0.5× 433 2.4× 224 1.7× 96 0.8× 230 2.2× 32 812
Gaurang Patel United States 15 174 0.7× 209 1.1× 62 0.5× 17 0.1× 58 0.6× 24 606
Xiafei Hong China 14 41 0.2× 87 0.5× 61 0.5× 45 0.4× 169 1.6× 33 532

Countries citing papers authored by Sofia Antunes

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Antunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofia Antunes

This figure shows the co-authorship network connecting the top 25 collaborators of Sofia Antunes. A scholar is included among the top collaborators of Sofia Antunes 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 Sofia Antunes. Sofia Antunes 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.
Cristel, Giulia, Antonio Esposito, Anna Damascelli, et al.. (2019). Can DCE-MRI reduce the number of PI-RADS v.2 false positive findings? Role of quantitative pharmacokinetic parameters in prostate lesions characterization. European Journal of Radiology. 118. 51–57. 14 indexed citations
2.
Esposito, Antonio, Anna Palmisano, Sofia Antunes, et al.. (2018). Assessment of Remote Myocardium Heterogeneity in Patients with Ventricular Tachycardia Using Texture Analysis of Late Iodine Enhancement (LIE) Cardiac Computed Tomography (cCT) Images. Molecular Imaging and Biology. 20(5). 816–825. 22 indexed citations
3.
Giganti, Francesco, Paolo Marra, Alessandro Ambrosi, et al.. (2017). Pre-treatment MDCT-based texture analysis for therapy response prediction in gastric cancer: Comparison with tumour regression grade at final histology. European Journal of Radiology. 90. 129–137. 52 indexed citations
4.
Loffreda, Alessia, Emanuela Jacchetti, Sofia Antunes, et al.. (2017). Live-cell p53 single-molecule binding is modulated by C-terminal acetylation and correlates with transcriptional activity. Nature Communications. 8(1). 91 indexed citations
5.
Antunes, Sofia, et al.. (2017). Asymptomatic anatomical variations of the postcranial skeleton as a marker for human identification. La Revue de Médecine Légale. 8(4). 191–191. 1 indexed citations
6.
Antunes, Sofia, Antonio Esposito, Anna Palmisano, et al.. (2016). Characterization of normal and scarred myocardium based on texture analysis of cardiac computed tomography images. PubMed. 2016. 4161–4164. 16 indexed citations
7.
Esposito, Antonio, Anna Palmisano, Sofia Antunes, et al.. (2016). Cardiac CT With Delayed Enhancement in the Characterization of Ventricular Tachycardia Structural Substrate. JACC. Cardiovascular imaging. 9(7). 822–832. 104 indexed citations
8.
Giganti, Francesco, Sofia Antunes, Annalaura Salerno, et al.. (2016). Gastric cancer: texture analysis from multidetector computed tomography as a potential preoperative prognostic biomarker. European Radiology. 27(5). 1831–1839. 94 indexed citations
9.
Antunes, Sofia, Antonio Esposito, Anna Palmisano, et al.. (2015). Cardiac Multi-detector CT Segmentation Based on Multiscale Directional Edge Detector and 3D Level Set. Annals of Biomedical Engineering. 44(5). 1487–1501. 4 indexed citations
10.
Antunes, Sofia. (2015). Patient-specific multi-parametric model of the heart from MDCT images to guide ventricular tachycardia ablation procedures. 1 indexed citations
11.
Chiaravalli, Marco, Isaline Rowe, Valeria Mannella, et al.. (2015). 2-Deoxy-d-Glucose Ameliorates PKD Progression. Journal of the American Society of Nephrology. 27(7). 1958–1969. 142 indexed citations
12.
Antunes, Sofia, Antonio Esposito, Giuseppe Maccabelli, et al.. (2014). Identification of myocardial scar in ventricular tachycardia: Correlation between CT based results and electro-anatomic map findings. Computing in Cardiology Conference. 5–8. 1 indexed citations
13.
Antunes, Sofia, Caterina Colantoni, Anna Palmisano, et al.. (2013). Multi-parametric model of the heart from CT images to guide ventricular tachycardia ablation. 831–834. 1 indexed citations
14.
Antunes, Sofia, Caterina Colantoni, Anna Palmisano, et al.. (2013). Automatic right ventricle segmentation in CT images using a novel multi-scale edge detector approach. 815–818. 2 indexed citations
15.
Antunes, Sofia, et al.. (2011). Phase Symmetry Approach Applied to Children Heart Chambers Segmentation: A Comparative Study. IEEE Transactions on Biomedical Engineering. 58(8). 2264–2271. 17 indexed citations
16.
Antunes, Sofia, José Silvestre Silva, & Jaime Santos. (2010). A new level set based segmentation method for the four cardiac chambers. Iberian Conference on Information Systems and Technologies. 1–6. 5 indexed citations
17.
Cardoso, M.A. Tavares, Sofia Antunes, Frederik van Keulen, et al.. (2008). Supercritical antisolvent micronisation of synthetic all‐trans‐β‐carotene with tetrahydrofuran as solvent and carbon dioxide as antisolvent. Journal of Chemical Technology & Biotechnology. 84(2). 215–222. 19 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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