Gianpaolo Cornalba

1.5k total citations
64 papers, 1.1k citations indexed

About

Gianpaolo Cornalba is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Gianpaolo Cornalba has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 21 papers in Surgery and 11 papers in Epidemiology. Recurrent topics in Gianpaolo Cornalba's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Diverticular Disease and Complications (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Gianpaolo Cornalba is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Diverticular Disease and Complications (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Gianpaolo Cornalba collaborates with scholars based in Italy, United States and Belarus. Gianpaolo Cornalba's co-authors include Francesco Sardanelli, Nicola Flor, Silvia Tresoldi, Giovanni Di Leo, Dario Poretti, Luca Maria Sconfienza, E. Montanari, Caterina Michelozzi, Vittorio Pedicini and Giovanni Mauri and has published in prestigious journals such as Radiology, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Gianpaolo Cornalba

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianpaolo Cornalba Italy 19 457 404 177 170 150 64 1.1k
René Müller‐Wille Germany 21 321 0.7× 640 1.6× 241 1.4× 138 0.8× 189 1.3× 74 1.2k
Yoshihiro Dodo Japan 20 424 0.9× 476 1.2× 105 0.6× 240 1.4× 57 0.4× 33 1.1k
Fabio Sandomenico Italy 20 478 1.0× 428 1.1× 162 0.9× 251 1.5× 179 1.2× 73 1.3k
Sailendra Naidu United States 21 469 1.0× 820 2.0× 128 0.7× 159 0.9× 185 1.2× 68 1.6k
Ralph Kickuth Germany 24 772 1.7× 807 2.0× 111 0.6× 235 1.4× 139 0.9× 122 1.6k
M. Golli Tunisia 18 311 0.7× 504 1.2× 165 0.9× 140 0.8× 204 1.4× 73 1.1k
Barbaros Çil Türkiye 22 928 2.0× 797 2.0× 188 1.1× 133 0.8× 130 0.9× 120 1.7k
Nyree Griffin United Kingdom 23 478 1.0× 737 1.8× 323 1.8× 196 1.2× 105 0.7× 64 1.4k
Hiroko Naganuma Japan 17 340 0.7× 652 1.6× 174 1.0× 88 0.5× 285 1.9× 93 957
Anup S. Shetty United States 21 364 0.8× 385 1.0× 164 0.9× 336 2.0× 138 0.9× 86 1.1k

Countries citing papers authored by Gianpaolo Cornalba

Since Specialization
Citations

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

Fields of papers citing papers by Gianpaolo Cornalba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianpaolo Cornalba

This figure shows the co-authorship network connecting the top 25 collaborators of Gianpaolo Cornalba. A scholar is included among the top collaborators of Gianpaolo Cornalba 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 Gianpaolo Cornalba. Gianpaolo Cornalba 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.
D’Amico, Natascha Claudia, Enzo Grossi, Giovanni Valbusa, et al.. (2020). A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI. European Radiology Experimental. 4(1). 5–5. 16 indexed citations
2.
3.
Mauri, Giovanni, Caterina Michelozzi, Fabio Melchiorre, et al.. (2016). Benign biliary strictures refractory to standard bilioplasty treated using polydoxanone biodegradable biliary stents: retrospective multicentric data analysis on 107 patients. European Radiology. 26(11). 4057–4063. 59 indexed citations
4.
Flor, Nicola, Giovanni Maconi, Francesco Sardanelli, et al.. (2015). Prognostic Value of the Diverticular Disease Severity Score Based on CT Colonography:. Academic Radiology. 22(12). 1503–1509. 14 indexed citations
5.
Cosentino, María José, et al.. (2014). Defaecography and colonic transit time for the evaluation of female patients with obstructed defaecation. La radiologia medica. 119(11). 813–819. 2 indexed citations
6.
Lanza, Ezio, Pierre Viala, Luca Maria Sconfienza, et al.. (2013). Osteoid Osteoma Treated by Percutaneous Thermal Ablation: When Do We Fail? A Systematic Review and Guidelines for Future Reporting. CardioVascular and Interventional Radiology. 37(6). 1530–1539. 74 indexed citations
7.
Flor, Nicola, et al.. (2013). Linear asymptomatic pneumatosis as an unexpected finding of computed tomography colonography: a case report. Journal of Medical Case Reports. 7(1). 205–205. 1 indexed citations
8.
Michelozzi, Caterina, et al.. (2012). Subependymal nodules and giant cell tumours in tuberous sclerosis complex patients: prevalence on MRI in relation to gene mutation. Child s Nervous System. 29(2). 249–254. 12 indexed citations
9.
Cosentino, María José, et al.. (2012). Placement of port-a-cath through the right internal jugular vein under ultrasound guidance. La radiologia medica. 118(4). 608–615. 4 indexed citations
10.
11.
Gilardi, Laura, et al.. (2009). Salivary glands imaging. 59(1). 43–51. 1 indexed citations
12.
Pompili, G, Giuseppe Franceschelli, Nicola Flor, et al.. (2009). Magnetic resonance imaging in the preoperative assessment of Mayer-Rokitansky-Kuster-Hauser syndrome. La radiologia medica. 114(5). 811–826. 32 indexed citations
13.
Tresoldi, Silvia, G Pompili, Nicola Flor, et al.. (2009). Primary hyperparathyroidism: can ultrasonography be the only preoperative diagnostic procedure?. La radiologia medica. 114(7). 1159–1172. 26 indexed citations
14.
Sardanelli, Francesco, Giovanni Di Leo, Alberto Aliprandi, et al.. (2008). Evaluation of carotid vessel wall enhancement with image subtraction after gadobenate dimeglumine-enhanced MR angiography. European Journal of Radiology. 70(3). 589–594. 4 indexed citations
15.
Pompili, G, Salvatore Zirpoli, Nicola Flor, et al.. (2008). Magnetic resonance imaging of renal involvement in genetically studied patients with tuberous sclerosis complex. European Journal of Radiology. 72(2). 335–341. 4 indexed citations
16.
Bestetti, A., Diego Castini, Riccardo Bigi, et al.. (2008). Truncal fat determined by dual-energy X-ray absorptiometry is an independent predictor of coronary artery disease extension. European Journal of Cardiovascular Prevention & Rehabilitation. 15(4). 428–433. 4 indexed citations
17.
Preda, Lorenzo, Fausto Chiesa, Mohssen Ansarin, et al.. (2007). Measurement by multidetector CT scan of the volume of hypopharyngeal and laryngeal tumours: accuracy and reproducibility. European Radiology. 17(8). 2096–2102. 16 indexed citations
18.
Pozzato, C, Chiara Dall’Asta, Giuseppe Radaelli, et al.. (2007). Usefulness of chemical-shift MRI in discriminating increased liver echogenicity in glycogenosis. Digestive and Liver Disease. 39(11). 1018–1023. 7 indexed citations
19.
Pozzato, C, Alessandra Curti, Giuseppe Radaelli, et al.. (2005). Abdominal ultrasonography in inheredited diseases of carbohydrate metabolism.. PubMed. 109(1-2). 139–47. 5 indexed citations
20.
Cornalba, Gianpaolo, et al.. (1986). [Intravenous digital angiography in the control of the patency of extra-anatomical bypasses of the legs].. PubMed. 72(7-8). 556–9. 1 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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