Andrea Smargiassi

4.8k total citations · 2 hit papers
96 papers, 2.4k citations indexed

About

Andrea Smargiassi is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrea Smargiassi has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Critical Care and Intensive Care Medicine, 57 papers in Pulmonary and Respiratory Medicine and 41 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrea Smargiassi's work include Ultrasound in Clinical Applications (75 papers), Pleural and Pulmonary Diseases (22 papers) and Radiology practices and education (22 papers). Andrea Smargiassi is often cited by papers focused on Ultrasound in Clinical Applications (75 papers), Pleural and Pulmonary Diseases (22 papers) and Radiology practices and education (22 papers). Andrea Smargiassi collaborates with scholars based in Italy, United States and Netherlands. Andrea Smargiassi's co-authors include Riccardo Inchingolo, Gino Soldati, Libertario Demi, Federico Mento, Tiziano Perrone, Danilo Buonsenso, Elena Torri, Francesco Tursi, Elisa Eleonora Mossolani and Salvatore Valente and has published in prestigious journals such as CHEST Journal, Journal of Clinical Microbiology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Andrea Smargiassi

86 papers receiving 2.3k citations

Hit Papers

Proposal for International Standardization of the Use of ... 2020 2026 2022 2024 2020 2020 100 200 300 400

Peers

Andrea Smargiassi
Andrea Smargiassi
Citations per year, relative to Andrea Smargiassi Andrea Smargiassi (= 1×) peers Riccardo Inchingolo

Countries citing papers authored by Andrea Smargiassi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Smargiassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Smargiassi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Smargiassi. A scholar is included among the top collaborators of Andrea Smargiassi 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 Andrea Smargiassi. Andrea Smargiassi 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.
Aurigemma, Cristina, Gabriella Locorotondo, Annalisa Pasquini, et al.. (2025). Endovascular Stenting for Pulmonary Vein Stenosis Following Atrial Fibrillation Ablation: From Diagnosis to Intervention. Catheterization and Cardiovascular Interventions. 107(4). 925–933.
2.
Mento, Federico, Sajjad Afrakhteh, Tiziano Perrone, et al.. (2025). Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 72(5). 624–635. 1 indexed citations
3.
Mento, Federico, G. A. Pierro, Tiziano Perrone, et al.. (2025). Fully automated Quantitative Lung Ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical study. Computers in Biology and Medicine. 200. 111365–111365.
4.
Inchingolo, Riccardo, Roberto Barone, Andrea Smargiassi, et al.. (2024). Ultrasound and Intrapleural Enzymatic Therapy for Complicated Pleural Effusion: A Case Series with a Literature Review. Journal of Clinical Medicine. 13(15). 4346–4346.
5.
Inchingolo, Riccardo, Alessandro Zanforlin, Danilo Buonsenso, et al.. (2024). Lung Ultrasound Signs. Journal of Ultrasound in Medicine. 43(4). 629–641. 2 indexed citations
6.
Afrakhteh, Sajjad, Federico Mento, Andrea Smargiassi, et al.. (2023). Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression. The Journal of the Acoustical Society of America. 153(3_supplement). A189–A189. 1 indexed citations
7.
Afrakhteh, Sajjad, Federico Mento, Andrea Smargiassi, et al.. (2023). Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression. Computers in Biology and Medicine. 169. 107885–107885. 8 indexed citations
8.
Smargiassi, Andrea, Alessandro Zanforlin, Tiziano Perrone, et al.. (2022). Vertical Artifacts as Lung Ultrasound Signs: Trick or Trap? Part 2‐ An Accademia di Ecografia Toracica Position Paper on B‐Lines and Sonographic Interstitial Syndrome. Journal of Ultrasound in Medicine. 42(2). 279–292. 8 indexed citations
9.
Mento, Federico, Francesco Tursi, Andrea Smargiassi, et al.. (2022). Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees. Applied Soft Computing. 133. 109926–109926. 18 indexed citations
10.
Inchingolo, Riccardo, et al.. (2021). Antimicrobial Resistance in Common Respiratory Pathogens of Chronic Bronchiectasis Patients: A Literature Review. Antibiotics. 10(3). 326–326. 11 indexed citations
11.
Carrer, Leonardo, Elena Donini, Daniele Marinelli, et al.. (2020). Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound Data. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(11). 2207–2217. 60 indexed citations
12.
Moro, F., Danilo Buonsenso, Maria Cristina Moruzzi, et al.. (2020). How to perform lung ultrasound in pregnant women with suspected COVID‐19. Ultrasound in Obstetrics and Gynecology. 55(5). 593–598. 96 indexed citations
13.
Inchingolo, Riccardo, Andrea Smargiassi, F. Moro, et al.. (2020). The diagnosis of pneumonia in a pregnant woman with coronavirus disease 2019 using maternal lung ultrasound. American Journal of Obstetrics and Gynecology. 223(1). 9–11. 39 indexed citations
14.
Inchingolo, Riccardo, Giuliana Pasciuto, Giancarlo Scoppettuolo, et al.. (2019). Educational interventions alone and combined with port protector reduce the rate of central venous catheter infection and colonization in respiratory semi-intensive care unit. BMC Infectious Diseases. 19(1). 215–215. 11 indexed citations
15.
Fuso, Leonello, Francesco Varone, Andrea Smargiassi, et al.. (2015). Usefulness of Conventional Transbronchial Needle Aspiration for Sampling of Mediastinal Lymph Nodes in Lung Cancer. Journal of Bronchology & Interventional Pulmonology. 22(4). 294–299. 5 indexed citations
16.
Inchingolo, Riccardo, Andrea Smargiassi, Roberta Marra, et al.. (2014). Look at the lung: can chest ultrasonography be useful in pregnancy?. Multidisciplinary Respiratory Medicine. 9(1). 32–32. 18 indexed citations
18.
Smargiassi, Andrea, et al.. (2013). Misunderstanding the arterial blood oxygen saturation. Breathe. 9(3). 225–230.
19.
Fuso, Leonello, Francesco Varone, Guido Rindi, et al.. (2013). Role of ultrasound-guided transbronchial biopsy in the diagnosis of peripheral pulmonary lesions. Lung Cancer. 81(1). 60–64. 27 indexed citations
20.
Soldati, Gino, Riccardo Inchingolo, Andrea Smargiassi, et al.. (2012). Ex Vivo Lung Sonography: Morphologic-Ultrasound Relationship. Ultrasound in Medicine & Biology. 38(7). 1169–1179. 74 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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