Matteo Pepa

1.0k total citations
33 papers, 332 citations indexed

About

Matteo Pepa is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matteo Pepa has authored 33 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiation and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matteo Pepa's work include Advanced Radiotherapy Techniques (13 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Matteo Pepa is often cited by papers focused on Advanced Radiotherapy Techniques (13 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Matteo Pepa collaborates with scholars based in Italy, Poland and France. Matteo Pepa's co-authors include Barbara Alicja Jereczek‐Fossa, Giulia Marvaso, Lars Johannes Isaksson, Roberto Orecchia, Mattia Zaffaroni, Stefania Volpe, Giulia Corrao, Maria Cristina Leonardi, Matteo Augugliaro and Daniela Alterio and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Radiation Oncology*Biology*Physics and Sensors.

In The Last Decade

Matteo Pepa

30 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Pepa Italy 9 155 109 75 73 46 33 332
Fan Tang China 8 108 0.7× 77 0.7× 62 0.8× 47 0.6× 44 1.0× 19 303
Bin Liang China 10 312 2.0× 155 1.4× 103 1.4× 231 3.2× 27 0.6× 31 427
Heinrich Schulz Germany 7 134 0.9× 47 0.4× 103 1.4× 57 0.8× 77 1.7× 20 326
Gisèle Pereira United States 8 257 1.7× 98 0.9× 103 1.4× 102 1.4× 43 0.9× 12 359
Jinghao Zhou United States 14 229 1.5× 128 1.2× 105 1.4× 130 1.8× 186 4.0× 33 456
G. Guidi Italy 13 236 1.5× 118 1.1× 63 0.8× 138 1.9× 11 0.2× 35 388
Benoît Presles France 11 142 0.9× 73 0.7× 74 1.0× 84 1.2× 91 2.0× 30 332
Pencilla Lang Canada 12 133 0.9× 99 0.9× 67 0.9× 17 0.2× 32 0.7× 50 364
Yesenia Gonzalez United States 10 327 2.1× 116 1.1× 133 1.8× 255 3.5× 69 1.5× 28 491
Shangqing Liu China 7 265 1.7× 56 0.5× 87 1.2× 55 0.8× 161 3.5× 14 414

Countries citing papers authored by Matteo Pepa

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pepa

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Pepa. A scholar is included among the top collaborators of Matteo Pepa 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 Matteo Pepa. Matteo Pepa 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
2.
Gugliandolo, Simone Giovanni, Matteo Pepa, F. Pansini, et al.. (2024). 3D-printed boluses for radiotherapy: influence of geometrical and printing parameters on dosimetric characterization and air gap evaluation. Radiological Physics and Technology. 17(2). 347–359. 3 indexed citations
3.
Pepa, Matteo, Alfredo Mirandola, Francesca Colombo, et al.. (2024). Unsupervised Deep Learning for Synthetic CT Generation from CBCT Images for Proton and Carbon Ion Therapy for Paediatric Patients. Sensors. 24(23). 7460–7460.
4.
Mazzola, Giovanni, Matteo Pepa, Mattia Zaffaroni, et al.. (2023). Patients’ needs in proton therapy: A survey among ten European facilities. Clinical and Translational Radiation Oncology. 43. 100670–100670. 6 indexed citations
5.
Abravan, Azadeh, Anne Gasnier, Jenny Bertholet, et al.. (2023). Qualitative Study on Diversity, Equity, and Inclusion Within Radiation Oncology in Europe. International Journal of Radiation Oncology*Biology*Physics. 116(2). 246–256. 5 indexed citations
7.
Garibaldi, Cristina, Giulia Marvaso, Stefania Volpe, et al.. (2022). Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms. Radiotherapy and Oncology. 178. 109424–109424. 7 indexed citations
8.
Augugliaro, Matteo, Giovanni Mazzola, S. Comi, et al.. (2022). Dosimetric Evaluation of the Inter-Fraction Motion of Organs at Risk in SBRT for Nodal Oligometastatic Prostate Cancer. Applied Sciences. 12(21). 10949–10949. 1 indexed citations
9.
Marvaso, Giulia, Stefania Volpe, Matteo Pepa, et al.. (2022). Recent Advances in the Management of Hormone-Sensitive Oligometastatic Prostate Cancer. Cancer Management and Research. Volume 14. 89–101. 4 indexed citations
10.
Marvaso, Giulia, Matteo Pepa, Stefania Volpe, et al.. (2022). Virtual and Augmented Reality as a Novel Opportunity to Unleash the Power of Radiotherapy in the Digital Era: A Scoping Review. Applied Sciences. 12(22). 11308–11308. 5 indexed citations
11.
Volpe, Stefania, Lars Johannes Isaksson, Mattia Zaffaroni, et al.. (2022). Impact of image filtering and assessment of volume-confounding effects on CT radiomic features and derived survival models in non-small cell lung cancer. Translational Lung Cancer Research. 11(12). 2452–2463. 5 indexed citations
12.
Marvaso, Giulia, Stefania Volpe, Matteo Pepa, et al.. (2021). Oligorecurrent Prostate Cancer and Stereotactic Body Radiotherapy: Where Are We Now? A Systematic Review and Meta-analysis of Prospective Studies. European Urology Open Science. 27. 19–28. 14 indexed citations
13.
Volpe, Stefania, Matteo Pepa, Mattia Zaffaroni, et al.. (2021). Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist. Frontiers in Oncology. 11. 772663–772663. 18 indexed citations
14.
Marvaso, Giulia, Giulia Corrao, Mattia Zaffaroni, et al.. (2021). Therapeutic Sequences in the Treatment of High-Risk Prostate Cancer: Paving the Way Towards Multimodal Tailored Approaches. Frontiers in Oncology. 11. 732766–732766. 2 indexed citations
15.
Zerini, Dario, Francesca Spada, Nicola Fazio, et al.. (2020). Multidisciplinary team approach for Merkel cell carcinoma: the European Institute of Oncology experience with focus on radiotherapy. Tumori Journal. 107(2). 145–149. 5 indexed citations
16.
Zerini, Dario, Barbara Alicja Jereczek‐Fossa, Antonella Ciabattoni, et al.. (2020). PROLAPSE: survey about local prostate cancer relapse salvage treatment with external beam re-irradiation: results of the Italian Association of Radiotherapy and Clinical Oncology (AIRO). Journal of Cancer Research and Clinical Oncology. 146(9). 2311–2317. 12 indexed citations
17.
Isaksson, Lars Johannes, Sara Raimondi, Francesca Botta, et al.. (2020). Effects of MRI image normalization techniques in prostate cancer radiomics. Physica Medica. 71. 7–13. 50 indexed citations
18.
Gugliandolo, Simone Giovanni, Giulia Marvaso, S. Comi, et al.. (2020). Mixed-beam approach for high-risk prostate cancer: Carbon-ion boost followed by photon intensity-modulated radiotherapy. Dosimetric and geometric evaluations (AIRC IG-14300). Physica Medica. 76. 327–336. 1 indexed citations
19.
Spoto, Ruggero, Andrea Vavassori, Samantha Dicuonzo, et al.. (2020). Adjuvant radiotherapy treatment for soft tissue sarcoma of extremities and trunk. A retrospective mono-institutional analysis. Neoplasma. 67(6). 1447–1455. 3 indexed citations
20.
Li, Haobo, Aman Shrestha, Francesco Fioranelli, et al.. (2017). Multisensor data fusion for human activities classification and fall detection. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–3. 52 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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