Tito Poli

3.2k total citations
48 papers, 1.1k citations indexed

About

Tito Poli is a scholar working on Otorhinolaryngology, Surgery and Oncology. According to data from OpenAlex, Tito Poli has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Otorhinolaryngology, 18 papers in Surgery and 14 papers in Oncology. Recurrent topics in Tito Poli's work include Head and Neck Cancer Studies (20 papers), Reconstructive Surgery and Microvascular Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Tito Poli is often cited by papers focused on Head and Neck Cancer Studies (20 papers), Reconstructive Surgery and Microvascular Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Tito Poli collaborates with scholars based in Italy, Germany and Netherlands. Tito Poli's co-authors include Enrico Sesenna, Bernardo Bianchi, Andrea Ferri, Serge Ferrari, Chiara Copelli, Jens Ahm Sørensen, Julio Álvarez, Luigi Barzan, Gary Ross and Franco Alberti and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Tito Poli

44 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
Tito Poli Italy 19 608 460 441 149 122 48 1.1k
Tomohiro Sakashita Japan 20 490 0.8× 355 0.8× 581 1.3× 206 1.4× 331 2.7× 72 1.1k
Andrew Lyons United Kingdom 17 377 0.6× 304 0.7× 483 1.1× 457 3.1× 107 0.9× 36 886
Stephan K. Haerle Switzerland 18 471 0.8× 395 0.9× 530 1.2× 175 1.2× 229 1.9× 37 994
Norihiko Okada Japan 24 626 1.0× 466 1.0× 472 1.1× 212 1.4× 111 0.9× 106 1.5k
Luca Calabrese Italy 23 888 1.5× 501 1.1× 816 1.9× 355 2.4× 86 0.7× 83 1.5k
Motoyasu Nakamura Japan 16 220 0.4× 238 0.5× 257 0.6× 269 1.8× 61 0.5× 46 807
Mary L. Ostrowski United States 20 495 0.8× 320 0.7× 76 0.2× 359 2.4× 55 0.5× 46 1.4k
Jean‐Pierre Jeannon United Kingdom 19 535 0.9× 573 1.2× 459 1.0× 269 1.8× 63 0.5× 87 1.2k
Arjun S. Joshi United States 18 457 0.8× 136 0.3× 184 0.4× 150 1.0× 101 0.8× 98 969
Adepitan A. Owosho United States 18 167 0.3× 472 1.0× 232 0.5× 713 4.8× 38 0.3× 38 1.2k

Countries citing papers authored by Tito Poli

Since Specialization
Citations

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

Fields of papers citing papers by Tito Poli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tito Poli

This figure shows the co-authorship network connecting the top 25 collaborators of Tito Poli. A scholar is included among the top collaborators of Tito Poli 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 Tito Poli. Tito Poli 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.
Lucchetta, Marta, Stefano Cavalieri, Ruud H. Brakenhoff, et al.. (2025). Ferroptosis-Related Gene Signatures: Prognostic Role in HPV-Positive Oropharyngeal Squamous Cell Carcinoma. Cancers. 17(3). 530–530. 2 indexed citations
2.
Cavalieri, Stefano, Ruud H. Brakenhoff, C. René Leemans, et al.. (2025). Prognostic gene expression signatures for HPV-negative head and neck squamous cell carcinoma. Radiotherapy and Oncology. 208. 110900–110900.
3.
Ferrari, Silvano, et al.. (2024). Exploring patient stratification in head and neck squamous cell carcinoma using machine learning techniques: Preliminary results. Current Problems in Cancer. 53. 101154–101154. 1 indexed citations
4.
Corti, Anna, Stefano Cavalieri, Giuseppina Calareso, et al.. (2024). MRI radiomics in head and neck cancer from reproducibility to combined approaches. Scientific Reports. 14(1). 9451–9451. 5 indexed citations
5.
6.
Cabrera-Umpiérrez, María Fernanda, María Teresa Arredondo, Giuseppe Fico, et al.. (2023). HeNeCOn: An ontology for integrative research in Head and Neck cancer. International Journal of Medical Informatics. 181. 105284–105284. 3 indexed citations
7.
Bologna, Marco, Valentina Corino, Stefano Cavalieri, et al.. (2023). Prognostic radiomic signature for head and neck cancer: Development and validation on a multi-centric MRI dataset. Radiotherapy and Oncology. 183. 109638–109638. 12 indexed citations
8.
Niada, Stefania, Chiara Giannasi, Nicola Fusco, et al.. (2022). Significant association between FGFR1 mutation frequency and age in central giant cell granuloma. Pathology. 55(3). 329–334.
9.
Keek, Simon, Frederik Wesseling, Henry C. Woodruff, et al.. (2021). A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images. Cancers. 13(13). 3271–3271. 19 indexed citations
10.
11.
Roest, Reinout H. de, Steven W. Mes, Jos B. Poell, et al.. (2019). Molecular Characterization of Locally Relapsed Head and Neck Cancer after Concomitant Chemoradiotherapy. Clinical Cancer Research. 25(23). 7256–7265. 17 indexed citations
12.
Colletti, Giacomo, Federico Biglioli, Tito Poli, et al.. (2018). Vascular malformations of the orbit (lymphatic, venous, arteriovenous): Diagnosis, management and results. Journal of Cranio-Maxillofacial Surgery. 47(5). 726–740. 26 indexed citations
13.
14.
Farnedi, Anna, Mariolina Gullì, Enrico Maria Silini, et al.. (2015). Proteoglycan-based diversification of disease outcome in head and neck cancer patients identifies NG2/CSPG4 and syndecan-2 as unique relapse and overall survival predicting factors. BMC Cancer. 15(1). 352–352. 28 indexed citations
15.
Iaccarino, Corrado, et al.. (2015). Preliminary Results of a Prospective Study on Methods of Cranial Reconstruction. Journal of Oral and Maxillofacial Surgery. 73(12). 2375–2378. 46 indexed citations
16.
Ferrari, Serge, Chiara Copelli, Bernardo Bianchi, et al.. (2012). Free flaps in elderly patients: Outcomes and complications in head and neck reconstruction after oncological resection. Journal of Cranio-Maxillofacial Surgery. 41(2). 167–171. 95 indexed citations
17.
Alkureishi, Lee W. T., Gary Ross, Taimur Shoaib, et al.. (2010). Sentinel Node Biopsy in Head and Neck Squamous Cell Cancer: 5-Year Follow-Up of a European Multicenter Trial. Annals of Surgical Oncology. 17(9). 2459–2464. 189 indexed citations
18.
Poli, Tito, et al.. (2007). Chirurgische Behandlung des malignen Orbita-Melanoms: unsere Erfahrung und ein Bericht über drei Fälle. Klinische Monatsblätter für Augenheilkunde. 224(10). 794–798. 1 indexed citations
19.
Merigo, Elisabetta, Maddalena Manfredi, Marco Meleti, et al.. (2006). Bone necrosis of the jaws associated with bisphosphonate treatment: a report of twenty-nine cases.. PubMed. 77(2). 109–17. 67 indexed citations
20.
Bianchi, Bernardo, Tito Poli, Federica Bertolini, & Enrico Sesenna. (2002). Malignant hemangiopericytoma of the infratemporal fossa: Report of a case. Journal of Oral and Maxillofacial Surgery. 60(3). 309–312. 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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