Claudio Bnà

1.5k total citations
32 papers, 813 citations indexed

About

Claudio Bnà is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Claudio Bnà has authored 32 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 7 papers in Epidemiology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Claudio Bnà's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Medical Imaging and Pathology Studies (5 papers) and COVID-19 Clinical Research Studies (4 papers). Claudio Bnà is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Medical Imaging and Pathology Studies (5 papers) and COVID-19 Clinical Research Studies (4 papers). Claudio Bnà collaborates with scholars based in Italy, Netherlands and United Kingdom. Claudio Bnà's co-authors include Mauro Morassi, Gian Luigi Gigli, Alberto Vogrig, Milena Cobelli, Daniele Bagatto, Serena D’Agostini, Maurizio Zompatori, Nicola Sverzellati, Francesca Ormitti and Giampaolo Gavelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the American Geriatrics Society.

In The Last Decade

Claudio Bnà

32 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Bnà Italy 15 306 289 258 119 99 32 813
Shvan H. Mohammed Iraq 12 195 0.6× 169 0.6× 162 0.6× 101 0.8× 206 2.1× 124 717
Angela Frank United States 12 224 0.7× 157 0.5× 194 0.8× 68 0.6× 49 0.5× 25 643
Keng Siang Lee United Kingdom 16 169 0.6× 461 1.6× 329 1.3× 119 1.0× 137 1.4× 67 1.1k
Rita Camporotondo Italy 14 217 0.7× 313 1.1× 544 2.1× 107 0.9× 187 1.9× 44 1.2k
Fahad Faqihi Saudi Arabia 15 108 0.4× 293 1.0× 349 1.4× 77 0.6× 79 0.8× 35 660
Samanjit S Hare United Kingdom 11 319 1.0× 534 1.8× 297 1.2× 79 0.7× 50 0.5× 19 970
Sze Mun Mak United Kingdom 10 264 0.9× 216 0.7× 185 0.7× 41 0.3× 57 0.6× 23 510
Zhuquan Su China 11 457 1.5× 402 1.4× 293 1.1× 63 0.5× 91 0.9× 32 831
Anne‐Laure Brun France 17 579 1.9× 89 0.3× 112 0.4× 77 0.6× 119 1.2× 48 1.1k
Ishan Paranjpe United States 11 99 0.3× 308 1.1× 543 2.1× 191 1.6× 62 0.6× 20 917

Countries citing papers authored by Claudio Bnà

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Bnà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Bnà

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Bnà. A scholar is included among the top collaborators of Claudio Bnà 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 Claudio Bnà. Claudio Bnà 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.
Sangaletti, Rudy, et al.. (2025). Robotic functional alignment in knee arthroplasty minimizes impact on ankle alignment: Role of MPTA and LDFA preservation. Knee Surgery Sports Traumatology Arthroscopy. 33(6). 2222–2229. 4 indexed citations
2.
3.
Bnà, Claudio, et al.. (2021). COVID-19 acute respiratory distress syndrome: can iloprost have a role for the treatment?. Respiratory Medicine Case Reports. 32. 101358–101358. 3 indexed citations
4.
Prochilo, Tiziana, et al.. (2021). Drug-Related Pneumonitis in Cancer Treatment during the COVID-19 Era. Cancers. 13(5). 1052–1052. 8 indexed citations
5.
Monfardini, Lorenzo, Mauro Morassi, Roberto Stellini, et al.. (2020). Pulmonary thromboembolism in hospitalised COVID-19 patients at moderate to high risk by Wells score: a report from Lombardy, Italy. British Journal of Radiology. 93(1113). 20200407–20200407. 21 indexed citations
6.
Hilal, Mohammad Abu, et al.. (2020). Pneumomediastinum and subcutaneous emphysema in COVID-19: barotrauma or lung frailty?. ERJ Open Research. 6(4). 385–2020. 92 indexed citations
7.
Vogrig, Alberto, Gian Luigi Gigli, Claudio Bnà, & Mauro Morassi. (2020). Stroke in patients with COVID-19: Clinical and neuroimaging characteristics. Neuroscience Letters. 743. 135564–135564. 76 indexed citations
8.
Morassi, Mauro, Daniele Bagatto, Milena Cobelli, et al.. (2020). Stroke in patients with SARS-CoV-2 infection: case series. Journal of Neurology. 267(8). 2185–2192. 174 indexed citations
9.
Spagnolo, Pietro, Andrea Cozzi, A Spinazzola, et al.. (2020). CT-derived pulmonary vascular metrics and clinical outcome in COVID-19 patients. Quantitative Imaging in Medicine and Surgery. 10(6). 1325–1333. 31 indexed citations
10.
11.
Usmani, Sharjeel, Marina Orevi, Antonella Stefanelli, et al.. (2019). Neuroendocrine differentiation in castration resistant prostate cancer. Nuclear medicine radiopharmaceuticals and imaging techniques: A narrative review. Critical Reviews in Oncology/Hematology. 138. 29–37. 10 indexed citations
12.
Ramusino, Matteo Cotta, Daniele Altomare, Silvia Ingala, et al.. (2019). Medial temporal lobe atrophy and posterior atrophy scales normative values. NeuroImage Clinical. 24. 101936–101936. 15 indexed citations
13.
Morassi, Mauro, Milena Cobelli, Paolo Costa, et al.. (2019). Diffuse white matter alteration in CLIPPERS: Advanced MRI findings from two cases. Journal of the Neurological Sciences. 402. 40–47. 1 indexed citations
14.
Zorzi, Fausto, et al.. (2015). Dark sputum: An atypical presentation of primary pulmonary malignant melanoma. SHILAP Revista de lepidopterología. 15. 118–120. 10 indexed citations
15.
Aroldi, Francesca, Paola Bertocchi, Fausto Meriggi, et al.. (2014). Tyrosine Kinase Inhibitors in EGFR-Mutated Large-Cell Neuroendocrine Carcinoma of the Lung A Case Report. Case Reports in Oncology. 7(2). 478–483. 22 indexed citations
16.
Sverzellati, Nicola, Maurizio Zompatori, Giovanni De Luca, et al.. (2005). Evaluation of quantitative CT indexes in idiopathic interstitial pneumonitis using a low-dose technique. European Journal of Radiology. 56(3). 370–375. 29 indexed citations
17.
Zompatori, Maurizio, Nicola Sverzellati, Venerino Poletti, et al.. (2005). High-Resolution CT in Diagnosis of Diffuse Infiltrative Lung Disease. Seminars in Ultrasound CT and MRI. 26(5). 332–347. 14 indexed citations
18.
Zompatori, Maurizio, Claudio Bnà, Venerino Poletti, et al.. (2004). Diagnostic Imaging of Diffuse Infiltrative Disease of the Lung. Respiration. 71(1). 4–19. 48 indexed citations
19.
Gavelli, Giampaolo, Romeo Canini, Paola Bertaccini, et al.. (2002). Traumatic injuries: imaging of thoracic injuries. European Radiology. 12(6). 1273–1294. 56 indexed citations
20.
Fattori, Rossella, Maria Letizia Bacchi Reggiani, Guglielmina Pepe, et al.. (2000). Magnetic Resonance Imaging Evaluation of Aortic Elastic Properties as Early Expression of Marfan Syndrome. Journal of Cardiovascular Magnetic Resonance. 2(4). 251–256. 29 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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