Carolina Marini

2.6k total citations · 2 hit papers
27 papers, 1.9k citations indexed

About

Carolina Marini is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Carolina Marini has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Carolina Marini's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Digital Radiography and Breast Imaging (7 papers) and MRI in cancer diagnosis (6 papers). Carolina Marini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Digital Radiography and Breast Imaging (7 papers) and MRI in cancer diagnosis (6 papers). Carolina Marini collaborates with scholars based in Italy, Switzerland and United Kingdom. Carolina Marini's co-authors include Silvestro Carinelli, Nicoletta Colombo, Alessandro Colombo, C. Sessa, Fabio Landoni, Eleonora Petra Preti, Cristiana Sessa, Chiara Iacconi, A Cilotti and Marco Giannelli and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Annals of Oncology and European Radiology.

In The Last Decade

Carolina Marini

24 papers receiving 1.9k citations

Hit Papers

Endometrial cancer: ESMO Clinical Practice Guidelines for... 2011 2026 2016 2021 2011 2013 100 200 300 400

Peers

Carolina Marini
Noh-Hyun Park South Korea
Carolina Marini
Citations per year, relative to Carolina Marini Carolina Marini (= 1×) peers Noh-Hyun Park

Countries citing papers authored by Carolina Marini

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Marini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Marini

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Marini. A scholar is included among the top collaborators of Carolina Marini 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 Carolina Marini. Carolina Marini 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
1.
Traino, Claudio, et al.. (2020). Technical evaluation of image quality in synthetic mammograms obtained from 15° and 40° digital breast tomosynthesis in a commercial system: a quantitative comparison. Physical and Engineering Sciences in Medicine. 44(1). 23–35. 2 indexed citations
2.
Traino, Claudio, et al.. (2020). Average absorbed breast dose (2ABD): an easy radiation dose index for digital breast tomosynthesis. European Radiology Experimental. 4(1). 38–38. 1 indexed citations
3.
Marini, Carolina, et al.. (2018). Real-life data on safety and efficacy of autologous stem cell transplantation in elderly patients with multiple myeloma. Annals of Hematology. 98(2). 369–379. 17 indexed citations
4.
Bosco, Paolo, Davide Caramella, Carolina Marini, et al.. (2018). Convolutional Neural Networks for mammogram classification in BIRADS standard: development and preliminary tests.
5.
Scatena, Cristian, Manuela Roncella, Antonello Di Paolo, et al.. (2018). Doxycycline, an Inhibitor of Mitochondrial Biogenesis, Effectively Reduces Cancer Stem Cells (CSCs) in Early Breast Cancer Patients: A Clinical Pilot Study. Frontiers in Oncology. 8. 452–452. 109 indexed citations
6.
Traino, Claudio, et al.. (2017). Average absorbed breast dose in mammography: a new possible dose index matching the requirements of the European Directive 2013/59/EURATOM. European Radiology Experimental. 1(1). 28–28. 11 indexed citations
7.
Angelini, Giulia, et al.. (2017). Magnetic resonance (MR) features in triple negative breast cancer (TNBC) vs receptor positive cancer (nTNBC). Clinical Imaging. 49. 12–16. 20 indexed citations
8.
Colombo, Nicoletta, Eleonora Petra Preti, Fabio Landoni, et al.. (2013). Endometrial cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Annals of Oncology. 24. vi33–vi38. 443 indexed citations breakdown →
9.
Colombo, Nicoletta, Michele Peiretti, Annalisa Garbi, et al.. (2012). Non-epithelial ovarian cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Annals of Oncology. 23. vii20–vii26. 227 indexed citations
10.
Colombo, Nicoletta, Michele Peiretti, Annalisa Garbi, et al.. (2012). Non-epithelial ovarian cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment. 1 indexed citations
11.
Colombo, Nicoletta, Silvestro Carinelli, Alessandro Colombo, et al.. (2012). Cervical cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Annals of Oncology. 23. vii27–vii32. 212 indexed citations
12.
Colombo, Nicoletta, Eleonora Petra Preti, Fabio Landoni, et al.. (2011). Endometrial cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Annals of Oncology. 22. vi35–vi39. 481 indexed citations breakdown →
13.
Iacconi, Chiara, Marco Giannelli, Carolina Marini, et al.. (2009). The role of mean diffusivity (MD) as a predictive index of the response to chemotherapy in locally advanced breast cancer: a preliminary study. European Radiology. 20(2). 303–308. 63 indexed citations
14.
Grosso, M, Serena Chiacchio, F Bianchi, et al.. (2009). Comparison between 99mTc-sestamibi scintimammography and X-ray mammography in the characterization of clusters of microcalcifications: a prospective long-term study.. PubMed. 29(10). 4251–7. 3 indexed citations
15.
Cilotti, A, Chiara Iacconi, Carolina Marini, et al.. (2007). Contrast-enhanced MR imaging in patients with BI-RADS 3-5 microcalcifications. La radiologia medica. 112(2). 272–286. 37 indexed citations
16.
Marini, Carolina, Chiara Iacconi, Marco Giannelli, et al.. (2007). Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion. European Radiology. 17(10). 2646–2655. 199 indexed citations
17.
Cilotti, A, et al.. (2006). Ultrasonographic Appearance of Breast Implant Complications. Annals of Plastic Surgery. 56(3). 243–247. 15 indexed citations
18.
Klissouras, Vassilis, Beatrice Casini, Valter Di Salvo, et al.. (2001). Genes and Olympic Performance: a Co-Twin Study. International Journal of Sports Medicine. 22(4). 250–255. 13 indexed citations
19.
Marini, Carolina, A Cilotti, Claudio Traino, et al.. (2001). Tc 99m-Sestamibi scintimammography in the differentiation of benign and malignant breast microcalcifications. The Breast. 10(4). 306–312. 2 indexed citations
20.
Ducci, Francesco, F. Cartei, Santo Colosimo, et al.. (1997). Carbogen and nicotinamide combined with unconventional radiotherapy in glioblastoma multiforme: A new modality treatment. International Journal of Radiation Oncology*Biology*Physics. 37(3). 499–504. 16 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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