Stefano Rivetti

769 total citations
32 papers, 500 citations indexed

About

Stefano Rivetti is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Stefano Rivetti has authored 32 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Stefano Rivetti's work include Digital Radiography and Breast Imaging (16 papers), Neonatal Respiratory Health Research (10 papers) and Congenital Diaphragmatic Hernia Studies (9 papers). Stefano Rivetti is often cited by papers focused on Digital Radiography and Breast Imaging (16 papers), Neonatal Respiratory Health Research (10 papers) and Congenital Diaphragmatic Hernia Studies (9 papers). Stefano Rivetti collaborates with scholars based in Italy, Germany and China. Stefano Rivetti's co-authors include Marco Bertolini, Nico Lanconelli, Andrea Nitrosi, Savério Bellusci, Giovanni Borasi, Stefania Maggi, Chengshui Chen, R. Campanini, Chaolei Chen and Vladimiro Ginocchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Human Molecular Genetics.

In The Last Decade

Stefano Rivetti

28 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Rivetti Italy 14 375 206 153 86 71 32 500
Mark Landis Canada 12 205 0.5× 234 1.1× 179 1.2× 227 2.6× 33 0.5× 25 571
Christophe K. Mannaerts Netherlands 14 453 1.2× 299 1.5× 209 1.4× 46 0.5× 32 0.5× 26 696
Sascha Zelzer Germany 9 99 0.3× 265 1.3× 133 0.9× 74 0.9× 28 0.4× 12 480
Elżbieta Łuczyńska Poland 13 315 0.8× 294 1.4× 49 0.3× 64 0.7× 46 0.6× 53 573
Mingzhu Liang China 12 518 1.4× 459 2.2× 117 0.8× 61 0.7× 30 0.4× 31 739
Stefan O.R. Pfleiderer Germany 14 104 0.3× 347 1.7× 234 1.5× 59 0.7× 54 0.8× 31 702
Mehdi Amini Switzerland 15 142 0.4× 402 2.0× 182 1.2× 27 0.3× 63 0.9× 55 601
Lifang Pang China 10 96 0.3× 196 1.0× 129 0.8× 67 0.8× 39 0.5× 24 366
Baher Elgohari United States 16 177 0.5× 323 1.6× 101 0.7× 109 1.3× 39 0.5× 33 616

Countries citing papers authored by Stefano Rivetti

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Rivetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Rivetti

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

All Works

20 of 20 papers shown
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Feliciani, Giacomo, Andrea Bettinelli, Francesca Marturano, et al.. (2025). Breast density prediction model in digital versus synthetic mammograms from a radiomic point of view: A retrospective study. Physica Medica. 131. 104942–104942.
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Dong, Ying, Stefano Rivetti, Sabine Tacke, et al.. (2022). Insights into the Black Box of Intra-Amniotic Infection and Its Impact on the Premature Lung: From Clinical and Preclinical Perspectives. International Journal of Molecular Sciences. 23(17). 9792–9792. 6 indexed citations
5.
Ahmadvand, Negah, Farhad Khosravi, Ana Ivonne Vazquez‐Armendariz, et al.. (2022). Fgfr2b signaling is essential for the maintenance of the alveolar epithelial type 2 lineage during lung homeostasis in mice. Cellular and Molecular Life Sciences. 79(6). 302–302. 13 indexed citations
6.
Shahzad, Tayyab, Ying Dong, Stefano Rivetti, et al.. (2022). When inflammation meets lung development—an update on the pathogenesis of bronchopulmonary dysplasia. SHILAP Revista de lepidopterología. 9(1). 7–7. 34 indexed citations
7.
Ahmadvand, Negah, Farhad Khosravi, Roxana Wasnick, et al.. (2021). Identification of a novel subset of alveolar type 2 cells enriched in PD-L1 and expanded following pneumonectomy. European Respiratory Journal. 58(5). 2004168–2004168. 30 indexed citations
8.
Chen, Chengshui, et al.. (2020). Use of the Reversible Myogenic to Lipogenic Transdifferentiation Switch for the Design of Pre-clinical Drug Screening in Idiopathic Pulmonary Fibrosis. Frontiers in Bioengineering and Biotechnology. 8. 569865–569865. 11 indexed citations
9.
Moiseenko, Alena, Ana Ivonne Vazquez‐Armendariz, Vahid Kheirollahi, et al.. (2020). Identification of a Repair-Supportive Mesenchymal Cell Population during Airway Epithelial Regeneration. Cell Reports. 33(12). 108549–108549. 23 indexed citations
10.
Rivetti, Stefano, Chaolei Chen, Chengshui Chen, & Savério Bellusci. (2020). Fgf10/Fgfr2b Signaling in Mammary Gland Development, Homeostasis, and Cancer. Frontiers in Cell and Developmental Biology. 8. 415–415. 22 indexed citations
11.
Gennaro, Gisella, Margarita Chevalier, Olivera Ciraj‐Bjelac, et al.. (2018). Quality Controls in Digital Mammography protocol of the EFOMP Mammo Working group. Physica Medica. 48. 55–64. 21 indexed citations
12.
Baldelli, Paola, et al.. (2018). A comparative study of physical image quality in digital and synthetic mammography from commercially available mammography systems. Physics in Medicine and Biology. 63(16). 165020–165020. 10 indexed citations
13.
Rivetti, Stefano, et al.. (2013). Characterization of a clinical unit for digital radiography based on irradiation side sampling technology. Medical Physics. 40(10). 101902–101902. 21 indexed citations
14.
Bertolini, Marco, Andrea Nitrosi, Stefano Rivetti, et al.. (2012). A comparison of digital radiography systems in terms of effective detective quantum efficiency. Medical Physics. 39(5). 2617–2627. 38 indexed citations
15.
Rivetti, Stefano, et al.. (2011). A new clinical unit for digital radiography based on a thick amorphous Selenium plate: Physical and psychophysical characterization. Medical Physics. 38(8). 4480–4488. 10 indexed citations
16.
Rivetti, Stefano, et al.. (2010). Comparison of different computed radiography systems: Physical characterization and contrast detail analysis. Medical Physics. 37(2). 440–448. 24 indexed citations
17.
Rivetti, Stefano, et al.. (2009). Physical and psychophysical characterization of a novel clinical system for digital mammography. Medical Physics. 36(11). 5139–5148. 23 indexed citations
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Lanconelli, Nico, et al.. (2007). Physical and psychophysical characterization of a GE senographe DS clinical system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 65104K–65104K. 7 indexed citations
20.
Rivetti, Stefano, Nico Lanconelli, R. Campanini, et al.. (2006). Comparison of different commercial FFDM units by means of physical characterization and contrast‐detail analysis. Medical Physics. 33(11). 4198–4209. 62 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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