Stefano Sestini

1.6k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Stefano Sestini is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Stefano Sestini has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 18 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in Stefano Sestini's work include Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging Techniques and Applications (5 papers). Stefano Sestini is often cited by papers focused on Lung Cancer Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging Techniques and Applications (5 papers). Stefano Sestini collaborates with scholars based in Italy, United States and United Kingdom. Stefano Sestini's co-authors include Ugo Pastorino, Gabriella Sozzi, Alfonso Marchianò, Nicola Sverzellati, Mario Silva, Mattia Boeri, Federica Sabia, Giovanni Corrao, Anna Cantarutti and Carlotta Galeone and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Stefano Sestini

27 papers receiving 1.1k citations

Hit Papers

Prolonged lung cancer screening reduced 10-year mortality... 2019 2026 2021 2023 2019 100 200 300

Peers

Stefano Sestini
Stefano Sestini
Citations per year, relative to Stefano Sestini Stefano Sestini (= 1×) peers Federica Sabia

Countries citing papers authored by Stefano Sestini

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Sestini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Sestini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Sestini. A scholar is included among the top collaborators of Stefano Sestini 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 Sestini. Stefano Sestini 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.
Milanese, Gianluca, Roberta Eufrasia Ledda, Federica Sabia, et al.. (2023). Ultra-low dose computed tomography protocols using spectral shaping for lung cancer screening: Comparison with low-dose for volumetric LungRADS classification. European Journal of Radiology. 161. 110760–110760. 10 indexed citations
2.
Pastorino, Ugo, Mattia Boeri, Stefano Sestini, et al.. (2022). Baseline computed tomography screening and blood microRNA predict lung cancer risk and define adequate intervals in the BioMILD trial. Annals of Oncology. 33(4). 395–405. 60 indexed citations
3.
Silva, Mario, Gianluca Milanese, Stefano Sestini, et al.. (2020). Lung cancer screening by nodule volume in Lung-RADS v1.1: negative baseline CT yields potential for increased screening interval. European Radiology. 31(4). 1956–1968. 24 indexed citations
4.
Pastorino, Ugo, Mario Silva, Stefano Sestini, et al.. (2019). Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacy. Annals of Oncology. 30(7). 1162–1169. 359 indexed citations breakdown →
5.
Pastorino, Ugo, Nicola Sverzellati, Stefano Sestini, et al.. (2019). Ten-year results of the Multicentric Italian Lung Detection trial demonstrate the safety and efficacy of biennial lung cancer screening. European Journal of Cancer. 118. 142–148. 81 indexed citations
6.
Pastorino, Ugo, Mattia Boeri, Stefano Sestini, et al.. (2019). PL02.04 Blood MicroRNA and LDCT Reduce Unnecessary LDCT Repeats in Lung Cancer Screening: Results of Prospective BioMILD Trial. Journal of Thoracic Oncology. 14(10). S5–S6. 11 indexed citations
7.
Pastorino, Ugo, Federica Sabia, Stefano Sestini, et al.. (2018). MA03.03 Prolonged Low-Dose Computed Tomography (LDCT) Screening Beyond 5 Years Reduces Overall and Lung Cancer Specific Mortality. Journal of Thoracic Oncology. 13(10). S363–S363. 1 indexed citations
8.
Sestini, Stefano, Mattia Boeri, Alfonso Marchianò, et al.. (2017). [Lung cancer screening in high-risk subjects: early detection with LDCT and risk stratification using miRNA-based blood test].. PubMed. 40(1 Suppl 1). 42–50. 6 indexed citations
9.
Verri, Carla, Cristina Borzi, Todd Holscher, et al.. (2017). Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening–Detected Lung Cancers. Journal of Thoracic Oncology. 12(6). 922–931. 15 indexed citations
10.
Pastorino, Ugo, Roberto Boffi, Alfonso Marchianò, et al.. (2016). Stopping Smoking Reduces Mortality in Low-Dose Computed Tomography Screening Participants. Journal of Thoracic Oncology. 11(5). 693–699. 35 indexed citations
11.
Infante, Maurizio, Stefano Sestini, Carlotta Galeone, et al.. (2016). Lung cancer screening with low-dose spiral computed tomography: evidence from a pooled analysis of two Italian randomized trials. European Journal of Cancer Prevention. 26(4). 324–329. 36 indexed citations
12.
Silva, Mario, Carlotta Galeone, Nicola Sverzellati, et al.. (2015). Screening with Low-Dose Computed Tomography Does Not Improve Survival of Small Cell Lung Cancer. Journal of Thoracic Oncology. 11(2). 187–193. 38 indexed citations
14.
Sestini, Stefano, Mattia Boeri, Alfonso Marchianò, et al.. (2015). Circulating microRNA signature as liquid-biopsy to monitor lung cancer in low-dose computed tomography screening. Oncotarget. 6(32). 32868–32877. 60 indexed citations
15.
16.
Gajate, Ana Maria Samanes, Stefano Sestini, Francesca Gallivanone, et al.. (2013). New positron emission tomography derived parameters as predictive factors for recurrence in resected stage I non-small cell lung cancer. European Journal of Surgical Oncology. 39(11). 1254–1261. 34 indexed citations
17.
Melloni, Giulio, Alessandro Bandiera, Piergiorgio Muriana, et al.. (2011). Combined Use of TBNA and EBUS-TBNA in the Preoperative Staging of Lung Cancer Patients. Journal of Bronchology & Interventional Pulmonology. 18(4). 311–316. 4 indexed citations
18.
Carretta, Angelo, Paola Ciriaco, Giulio Melloni, et al.. (2010). Correlation of computed tomography densitometry and pathological grading of emphysema with the variation of respiratory function after lobectomy for lung cancer☆. Interactive Cardiovascular and Thoracic Surgery. 10(6). 914–918. 2 indexed citations
19.
Pirovano, Michele, Alessandra Romanelli, Arianna Biffi, et al.. (2004). Chronomodulated delivery schedule of oxaliplatin, 5 fluorouracil and folinic acid (FFL4/10) as first line treatment in metastatic colorectal cancer: Preliminary data of a phase II study. Journal of Clinical Oncology. 22(14_suppl). 3738–3738. 1 indexed citations
20.
Correale, Pierpaolo, Lucia Micheli, Maria Grazia Cusi, et al.. (2001). Recruitment of dendritic cells and enhanced antigen-specific immune reactivity in cancer patients treated with hr-GM-CSF (Molgramostim) and hr-IL-2. European Journal of Cancer. 37(7). 892–902. 40 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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