Pietro Nardelli

1.5k total citations
56 papers, 666 citations indexed

About

Pietro Nardelli is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pietro Nardelli has authored 56 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pietro Nardelli's work include Lung Cancer Diagnosis and Treatment (15 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers) and Pulmonary Hypertension Research and Treatments (14 papers). Pietro Nardelli is often cited by papers focused on Lung Cancer Diagnosis and Treatment (15 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers) and Pulmonary Hypertension Research and Treatments (14 papers). Pietro Nardelli collaborates with scholars based in United States, Spain and Ireland. Pietro Nardelli's co-authors include Raúl San Jośe Estépar, George R. Washko, Farbod N. Rahaghi, Daniel Jiménez‐Carretero, David Bermejo-Peláez, María J. Ledesma‐Carbayo, James C. Ross, Pádraig Cantillon‐Murphy, Marcus P. Kennedy and Alejandro A. Díaz and has published in prestigious journals such as Circulation, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Pietro Nardelli

47 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pietro Nardelli United States 14 414 169 71 64 50 56 666
Maurizio Cariati Italy 15 266 0.6× 190 1.1× 38 0.5× 32 0.5× 46 0.9× 93 833
Yineng Zheng China 16 406 1.0× 267 1.6× 125 1.8× 18 0.3× 21 0.4× 58 837
Artem Mikheev United States 15 164 0.4× 547 3.2× 69 1.0× 31 0.5× 21 0.4× 42 858
Srinivasan Rajagopalan United States 15 709 1.7× 303 1.8× 127 1.8× 164 2.6× 18 0.4× 36 997
Thien Huynh United States 17 162 0.4× 172 1.0× 68 1.0× 24 0.4× 22 0.4× 63 846
Farbod N. Rahaghi United States 16 663 1.6× 234 1.4× 63 0.9× 77 1.2× 6 0.1× 56 960
Joël Schaerer France 9 129 0.3× 244 1.4× 85 1.2× 25 0.4× 24 0.5× 28 417
Marika Bajc Sweden 20 350 0.8× 516 3.1× 58 0.8× 35 0.5× 38 0.8× 46 1.1k
Claudio Bnà Italy 15 306 0.7× 88 0.5× 25 0.4× 28 0.4× 16 0.3× 32 813
Kicky G. van Leeuwen Netherlands 11 235 0.6× 611 3.6× 188 2.6× 19 0.3× 15 0.3× 18 1.0k

Countries citing papers authored by Pietro Nardelli

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Nardelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Nardelli

This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Nardelli. A scholar is included among the top collaborators of Pietro Nardelli 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 Pietro Nardelli. Pietro Nardelli 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.
Yen, Andrew, Scott Grumley, Sushilkumar K. Sonavane, et al.. (2025). A simple index for predicting mucus plugs in patients with chronic obstructive pulmonary disease. American Journal of Respiratory and Critical Care Medicine. 212(2). 277–280.
2.
Wan, Emily S., et al.. (2025). Lower Lobe Mucus Plug Distribution is Associated With Increased Risk for Future Acute Exacerbations Among Tobacco-exposed Persons. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A2944–A2944. 1 indexed citations
3.
Estépar, R. San José, et al.. (2025). Comparing AI-detected Versus Visually Detected Airway Mucus Plugs in Predicting Mortality and Exacerbations in COPD. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7380–A7380.
4.
Díaz, Alejandro A., R. San José Estépar, Gonzalo Vegas‐Sánchez‐Ferrero, et al.. (2024). CNNs trained with adult data are useful in pediatrics. A pneumonia classification example. PLoS ONE. 19(7). e0306703–e0306703. 1 indexed citations
5.
6.
Díaz, Alejandro A., Wei Wang, W.R. Dolliver, et al.. (2023). Suspected Bronchiectasis and Mortality in Adults With a History of Smoking Who Have Normal and Impaired Lung Function. Annals of Internal Medicine. 176(10). 1340–1348. 4 indexed citations
7.
Vollmer, Iván, Ignacio Blanco, Raúl San Jośe Estépar, et al.. (2023). Pulmonary Vascular Pruning in Severe Pulmonary Hypertension Associated With Chronic Lung Diseases. A2518–A2518. 1 indexed citations
8.
Dolliver, W.R., Wei Wang, Pietro Nardelli, et al.. (2022). Pulmonary arterial pruning is associated with CT-derived bronchiectasis progression in smokers. Respiratory Medicine. 202. 106971–106971. 1 indexed citations
9.
Díaz, Alejandro A., Pietro Nardelli, Wei Wang, et al.. (2022). Artificial Intelligence–based CT Assessment of Bronchiectasis: The COPDGene Study. Radiology. 307(1). e221109–e221109. 21 indexed citations
10.
Minhas, Jasleen, Pietro Nardelli, Nadine Al‐Naamani, et al.. (2021). Loss of Pulmonary Vascular Volume as a Predictor of Right Ventricular Dysfunction and Mortality in Acute Pulmonary Embolism. Circulation Cardiovascular Imaging. 14(9). e012347–e012347. 14 indexed citations
11.
Nardelli, Pietro, R. San José Estépar, Farbod N. Rahaghi, & Raúl San Jośe Estépar. (2020). Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation. Lecture notes in computer science. 12502. 109–117. 2 indexed citations
12.
Nardelli, Pietro, James C. Ross, & Raúl San Jośe Estépar. (2020). Generative-based airway and vessel morphology quantification on chest CT images. Medical Image Analysis. 63. 101691–101691. 11 indexed citations
13.
Nardelli, Pietro & Raúl San Jośe Estépar. (2019). Targeting Precision with Data Augmented Samples in Deep Learning. Lecture notes in computer science. 11769. 284–292. 1 indexed citations
14.
Nardelli, Pietro, George R. Washko, & Raúl San Jośe Estépar. (2019). Bronchial Cartilage Assessment with Model-Based GAN Regressor. Lecture notes in computer science. 11769. 357–365. 2 indexed citations
15.
Jiménez‐Carretero, Daniel, et al.. (2018). A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. Medical Image Analysis. 52. 144–159. 25 indexed citations
16.
Nardelli, Pietro, Daniel Jiménez‐Carretero, David Bermejo-Peláez, et al.. (2018). Pulmonary Artery–Vein Classification in CT Images Using Deep Learning. IEEE Transactions on Medical Imaging. 37(11). 2428–2440. 115 indexed citations
17.
Nardelli, Pietro, et al.. (2018). Accurate Measurement of Airway Morphology on Chest CT Images. Lecture notes in computer science. 11040. 335–347. 5 indexed citations
18.
Nardelli, Pietro, Daniel Jiménez‐Carretero, David Bermejo-Peláez, et al.. (2017). Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. PubMed. 2017. 384–387. 8 indexed citations
19.
Nardelli, Pietro, et al.. (2016). Evaluation of Endoscopically Deployed Radiopaque Tumor Models in Bronchoscopy. Journal of Bronchology & Interventional Pulmonology. 23(2). 112–122. 5 indexed citations
20.
Nardelli, Pietro, et al.. (2016). Pre-clinical validation of virtual bronchoscopy using 3D Slicer. International Journal of Computer Assisted Radiology and Surgery. 12(1). 25–38. 7 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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