Giancarlo Montini

765 total citations
8 papers, 537 citations indexed

About

Giancarlo Montini is a scholar working on Oncology, Epidemiology and Neurology. According to data from OpenAlex, Giancarlo Montini has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Epidemiology and 4 papers in Neurology. Recurrent topics in Giancarlo Montini's work include Neuroendocrine Tumor Research Advances (5 papers), Neuroblastoma Research and Treatments (3 papers) and Lung Cancer Research Studies (3 papers). Giancarlo Montini is often cited by papers focused on Neuroendocrine Tumor Research Advances (5 papers), Neuroblastoma Research and Treatments (3 papers) and Lung Cancer Research Studies (3 papers). Giancarlo Montini collaborates with scholars based in Italy, United Kingdom and United States. Giancarlo Montini's co-authors include Valentina Ambrosini, Paolo Castellucci, Stefano Fanti, Domenico Rubello, Cristina Nanni, Roberto Franchi, Paola Tomassetti, Davide Campana, Anna Rizzello and Vincenzo Allegri and has published in prestigious journals such as Journal of Clinical Oncology, Biomedicine & Pharmacotherapy and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Giancarlo Montini

8 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giancarlo Montini Italy 7 281 280 278 160 102 8 537
Rahul V. Parghane India 13 311 1.1× 212 0.8× 309 1.1× 214 1.3× 15 0.1× 70 609
Alessio Pellegrinelli Italy 14 284 1.0× 188 0.7× 364 1.3× 23 0.1× 49 0.5× 23 519
Duygu Has Şimşek Türkiye 13 119 0.4× 76 0.3× 275 1.0× 219 1.4× 20 0.2× 58 527
R. Trouette France 9 192 0.7× 108 0.4× 62 0.2× 40 0.3× 18 0.2× 31 375
P. J. Loehrer United States 9 136 0.5× 292 1.0× 227 0.8× 13 0.1× 35 0.3× 18 603
Charles Pfaff United States 6 51 0.2× 53 0.2× 173 0.6× 54 0.3× 78 0.8× 7 501
Selenia Casnedi France 9 233 0.8× 44 0.2× 612 2.2× 38 0.2× 47 0.5× 18 773
Jima Lv China 18 192 0.7× 75 0.3× 424 1.5× 176 1.1× 18 0.2× 49 951
M. Crump Canada 9 43 0.2× 121 0.4× 177 0.6× 17 0.1× 187 1.8× 20 462
Thierry Debaere France 10 363 1.3× 229 0.8× 399 1.4× 20 0.1× 43 0.4× 17 683

Countries citing papers authored by Giancarlo Montini

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Montini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Montini

This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Montini. A scholar is included among the top collaborators of Giancarlo Montini 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 Giancarlo Montini. Giancarlo Montini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Ambrosini, Valentina, Cristina Nanni, Maurizio Zompatori, et al.. (2010). 68Ga-DOTA-NOC PET/CT in comparison with CT for the detection of bone metastasis in patients with neuroendocrine tumours. European Journal of Nuclear Medicine and Molecular Imaging. 37(4). 722–727. 93 indexed citations
2.
Zinzani, Pier Luigi, Vittorio Stefoni, Monica Tani, et al.. (2009). Role of [18F]Fluorodeoxyglucose Positron Emission Tomography Scan in the Follow-Up of Lymphoma. Journal of Clinical Oncology. 27(11). 1781–1787. 108 indexed citations
3.
Ambrosini, Valentina, Paola Tomassetti, Paolo Castellucci, et al.. (2008). Comparison between 68Ga-DOTA-NOC and 18F-DOPA PET for the detection of gastro-entero-pancreatic and lung neuro-endocrine tumours. European Journal of Nuclear Medicine and Molecular Imaging. 35(8). 1431–1438. 175 indexed citations
4.
Nanni, Cristina, Domenico Rubello, Elena Zamagni, et al.. (2008). 18F-FDG PET/CT in myeloma with presumed solitary plasmocytoma of bone.. PubMed. 22(4). 513–7. 54 indexed citations
5.
Meo, S. Lo, Gianfranco Cicoria, Giancarlo Montini, et al.. (2008). Radiation emission dose from patients administered 90Y-labelled radiopharmaceuticals: comparison of experimental measurements versus Monte Carlo simulation. Nuclear Medicine Communications. 29(12). 1100–1105. 8 indexed citations
6.
Castellucci, Paolo, Stefano Fanti, Valentina Ambrosini, et al.. (2008). Evaluation of unusual neuroendocrine tumors by means of 68Ga-DOTA-NOC PET. 49. 2 indexed citations
7.
Fanti, Stefano, Valentina Ambrosini, Paola Tomassetti, et al.. (2008). Evaluation of unusual neuroendocrine tumours by means of 68Ga-DOTA-NOC PET. Biomedicine & Pharmacotherapy. 62(10). 667–671. 65 indexed citations
8.
Ambrosini, Valentina, Paola Tomassetti, Domenico Rubello, et al.. (2007). Role of 18F-dopa PET/CT imaging in the management of patients with 111In-pentetreotide negative GEP tumours. Nuclear Medicine Communications. 28(6). 473–477. 32 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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