Serena Pacilè

885 total citations
17 papers, 508 citations indexed

About

Serena Pacilè is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Serena Pacilè has authored 17 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiation, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Serena Pacilè's work include Advanced X-ray Imaging Techniques (7 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (5 papers). Serena Pacilè is often cited by papers focused on Advanced X-ray Imaging Techniques (7 papers), Advanced X-ray and CT Imaging (7 papers) and Medical Imaging Techniques and Applications (5 papers). Serena Pacilè collaborates with scholars based in Italy, Australia and Germany. Serena Pacilè's co-authors include Giuliana Tromba, Pierre Fillard, Diego Dreossi, Christian Dullin, Agostino Accardo, Francesco Brun, Lucia Mancini, George Kourousias, Roberto Pugliese and Andrea Nardini and has published in prestigious journals such as Scientific Reports, New Phytologist and IEEE Transactions on Medical Imaging.

In The Last Decade

Serena Pacilè

16 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena Pacilè Italy 11 196 163 134 106 101 17 508
Walter Hillen Germany 9 122 0.6× 57 0.3× 100 0.7× 35 0.3× 113 1.1× 15 404
Yun‐Seok Choi South Korea 17 93 0.5× 67 0.4× 56 0.4× 19 0.2× 26 0.3× 73 874
Duncan McLean United Kingdom 14 222 1.1× 25 0.2× 264 2.0× 99 0.9× 13 0.1× 51 872
Yoni De Witte Belgium 12 68 0.3× 114 0.7× 112 0.8× 7 0.1× 35 0.3× 14 498
Uwe Krämer Germany 8 105 0.5× 74 0.5× 98 0.7× 9 0.1× 113 1.1× 17 471
Denis L. Henshaw United Kingdom 13 113 0.6× 198 1.2× 50 0.4× 12 0.1× 61 0.6× 38 705
Laura Mihai Romania 9 27 0.1× 86 0.5× 26 0.2× 8 0.1× 85 0.8× 34 454
Thomas Lüthi Switzerland 11 27 0.1× 139 0.9× 113 0.8× 24 0.2× 13 0.1× 33 575
Chiara Paganelli Italy 24 1.2k 5.9× 1.1k 6.5× 301 2.2× 41 0.4× 25 0.2× 91 1.7k
D. Doughty United States 15 100 0.5× 122 0.7× 56 0.4× 10 0.1× 252 2.5× 60 968

Countries citing papers authored by Serena Pacilè

Since Specialization
Citations

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

Fields of papers citing papers by Serena Pacilè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Pacilè

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Pacilè. A scholar is included among the top collaborators of Serena Pacilè 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 Serena Pacilè. Serena Pacilè 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.
Louis, Thomas A., Serena Pacilè, & Pierre Fillard. (2024). Time-to-event learning paradigm as a generalized approach to estimate risk of breast cancer using image-based deep learning models. 90–90. 1 indexed citations
2.
Pacilè, Serena, et al.. (2023). Monitoring Methodology for an AI Tool for Breast Cancer Screening Deployed in Clinical Centers. Life. 13(2). 440–440. 2 indexed citations
3.
4.
Taba‬, Seyedamir Tavakoli, Yakov I. Nesterets, Serena Pacilè, et al.. (2020). Comparison of propagation-based CT using synchrotron radiation and conventional cone-beam CT for breast imaging. European Radiology. 30(5). 2740–2750. 15 indexed citations
5.
Pacilè, Serena, et al.. (2020). Improving Breast Cancer Detection Accuracy of Mammography with the Concurrent Use of an Artificial Intelligence Tool. Radiology Artificial Intelligence. 2(6). e190208–e190208. 105 indexed citations
6.
Pascolo, Lorella, Alessandra Gianoncelli, Brian Metscher, et al.. (2019). Hard and soft X-ray imaging to resolve human ovarian cortical structures. Journal of Synchrotron Radiation. 26(4). 1322–1329. 10 indexed citations
7.
Giuliani, Alessandra, Stefania Greco, Serena Pacilè, et al.. (2019). Advanced 3D Imaging of Uterine Leiomyoma’s Morphology by Propagation-based Phase-Contrast Microtomography. Scientific Reports. 9(1). 10580–10580. 19 indexed citations
8.
Pacilè, Serena, Christian Dullin, M. Tonutti, et al.. (2019). Free propagation phase-contrast breast CT provides higher image quality than cone-beam breast-CT at low radiation doses: a feasibility study on human mastectomies. Scientific Reports. 9(1). 13762–13762. 12 indexed citations
9.
Wagner, Willi L., Serena Pacilè, Jonas Albers, et al.. (2018). Towards synchrotron phase-contrast lung imaging in patients – a proof-of-concept study on porcine lungs in a human-scale chest phantom. Journal of Synchrotron Radiation. 25(6). 1827–1832. 18 indexed citations
10.
Albers, Jonas, Serena Pacilè, M. Andrea Markus, et al.. (2018). X-ray-Based 3D Virtual Histology—Adding the Next Dimension to Histological Analysis. Molecular Imaging and Biology. 20(5). 732–741. 60 indexed citations
11.
Häusermann, Daniel M., Andrew G. Peele, Sarah Lewis, et al.. (2018). Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 4–4. 5 indexed citations
12.
Mayo, S. C., Serena Pacilè, Giuliana Tromba, et al.. (2018). High-Resolution X-Ray Phase-Contrast 3-D Imaging of Breast Tissue Specimens as a Possible Adjunct to Histopathology. IEEE Transactions on Medical Imaging. 37(12). 2642–2650. 36 indexed citations
13.
Savi, Tadeja, Francesco Petruzzellis, Adriano Losso, et al.. (2017). Drought-induced embolism in stems of sunflower: A comparison of in vivo micro-CT observations and destructive hydraulic measurements. Plant Physiology and Biochemistry. 120. 24–29. 42 indexed citations
14.
Donato, Sandro, Serena Pacilè, Chiara Garrovo, et al.. (2017). Meniscal Ossicles as micro-CT Imaging Biomarker in a Rodent Model of Antigen-Induced Arthritis: a Synchrotron-Based X-ray Pilot Study. Scientific Reports. 7(1). 7544–7544. 6 indexed citations
15.
Nardini, Andrea, Tadeja Savi, Adriano Losso, et al.. (2016). X‐ray microtomography observations of xylem embolism in stems of Laurus nobilis are consistent with hydraulic measurements of percentage loss of conductance. New Phytologist. 213(3). 1068–1075. 58 indexed citations
16.
Pacilè, Serena, Francesco Brun, Christian Dullin, et al.. (2015). Clinical application of low-dose phase contrast breast CT: methods for the optimization of the reconstruction workflow. Biomedical Optics Express. 6(8). 3099–3099. 25 indexed citations
17.
Brun, Francesco, Serena Pacilè, Agostino Accardo, et al.. (2015). Enhanced and Flexible Software Tools for X-ray Computed Tomography at the Italian Synchrotron Radiation Facility Elettra. Fundamenta Informaticae. 141(2-3). 233–243. 94 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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