Michele Avanzo

2.9k total citations · 2 hit papers
63 papers, 1.8k citations indexed

About

Michele Avanzo is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michele Avanzo has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Radiation and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michele Avanzo's work include Advanced Radiotherapy Techniques (26 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Advanced X-ray and CT Imaging (12 papers). Michele Avanzo is often cited by papers focused on Advanced Radiotherapy Techniques (26 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Advanced X-ray and CT Imaging (12 papers). Michele Avanzo collaborates with scholars based in Italy, United States and United Kingdom. Michele Avanzo's co-authors include Joseph Stancanello, Issam El Naqa, G. Pirrone, Giovanna Sartor, Lise Wei, Sarah A. Mattonen, Martin Vallières, Arvind Rao, Olivier Morin and Marco Trovò and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Michele Avanzo

59 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine and deep learning methods for radiomics

2020 360 citations Michele Avanzo, Joseph Stancanello et al. profile →
Beyond imaging: The promise of radiomics

2017 349 citations Michele Avanzo, Joseph Stancanello et al. Physica Medica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michele Avanzo Italy	22	1.3k	719	418	400	253	63	1.8k
Francesca Botta Italy	25	1.7k 1.3×	622 0.9×	399 1.0×	339 0.8×	408 1.6×	62	2.2k
Lisanne V. van Dijk Netherlands	23	1.3k 0.9×	641 0.9×	669 1.6×	279 0.7×	233 0.9×	89	1.9k
Yong Yin China	21	1.1k 0.8×	799 1.1×	608 1.5×	255 0.6×	202 0.8×	195	1.8k
Ulrike Schick France	30	1.8k 1.3×	1.4k 1.9×	427 1.0×	415 1.0×	732 2.9×	189	3.1k
Aditya Apte United States	27	1.7k 1.3×	834 1.2×	582 1.4×	356 0.9×	542 2.1×	118	2.5k
Margarita Kirienko Italy	28	1.8k 1.3×	913 1.3×	89 0.2×	376 0.9×	489 1.9×	69	2.3k
Charlotte L. Brouwer Netherlands	21	1.2k 0.9×	634 0.9×	1.1k 2.7×	392 1.0×	99 0.4×	54	1.9k
Martin Vallières Canada	22	3.0k 2.3×	1.1k 1.5×	137 0.3×	816 2.0×	405 1.6×	48	3.3k
Hesham Elhalawani United States	21	627 0.5×	433 0.6×	217 0.5×	180 0.5×	532 2.1×	93	1.5k
David Fried United States	18	1.6k 1.2×	809 1.1×	173 0.4×	642 1.6×	452 1.8×	60	2.0k

Countries citing papers authored by Michele Avanzo

Since Specialization

Citations

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

Fields of papers citing papers by Michele Avanzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Avanzo

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

All Works

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20 of 20 papers shown

Avanzo, Michele, et al.. (2026). Robust radiomics: a review of guidelines for radiomics in medical imaging. PubMed. 5. 1701110–1701110.

Avanzo, Michele, et al.. (2024). Deep learning methods for 2D in-vivo dose reconstruction with EPID detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1069. 169908–169908.

Avanzo, Michele, Joseph Stancanello, G. Pirrone, Annalisa Drigo, & Alessandra Retico. (2024). The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning. Cancers. 16(21). 3702–3702. 13 indexed citations

Fanizzi, Annarita, Leda Lorenzon, Alessia Giuliano, et al.. (2024). Robust machine learning challenge: An AIFM multicentric competition to spread knowledge, identify common pitfalls and recommend best practice. Physica Medica. 127. 104834–104834. 3 indexed citations

Olch, Arthur J., Peter van Luijk, Chia‐Ho Hua, et al.. (2023). Physics Considerations for Evaluation of Dose for Dose-Response Models of Pediatric Late Effects From Radiation Therapy: A PENTEC Introductory Review. International Journal of Radiation Oncology*Biology*Physics. 119(2). 360–368. 6 indexed citations

Vinante, Lorenzo, et al.. (2023). Artificial Intelligence-Based Patient Selection for Deep Inspiration Breath-Hold Breast Radiotherapy from Respiratory Signals. Applied Sciences. 13(8). 4962–4962. 4 indexed citations

Casagrande, Naike, Cinzia Borghese, Michele Avanzo, & Donatella Aldinucci. (2023). In Doxorubicin-Adapted Hodgkin Lymphoma Cells, Acquiring Multidrug Resistance and Improved Immunosuppressive Abilities, Doxorubicin Activity Was Enhanced by Chloroquine and GW4869. Cells. 12(23). 2732–2732. 3 indexed citations

Castriconi, Roberta, Lorenzo Placidi, Michele Avanzo, et al.. (2023). Survey on the interest and commitment of AIFM members to scientific activities (SicAS) – The initiative of the FutuRuS working group. Physica Medica. 110. 102589–102589. 2 indexed citations

Bertolini, Marco, A. Botti, Salvatore Cozzi, et al.. (2022). Novel Harmonization Method for Multi-Centric Radiomic Studies in Non-Small Cell Lung Cancer. Current Oncology. 29(8). 5179–5194. 10 indexed citations

10.

Bettinelli, Andrea, Francesca Marturano, Michele Avanzo, et al.. (2022). A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools. Radiology. 303(3). 533–541. 37 indexed citations

11.

Mancosu, Pietro, Isabella Castiglioni, Mauro Iori, et al.. (2022). Applications of artificial intelligence in stereotactic body radiation therapy. Physics in Medicine and Biology. 67(16). 16TR01–16TR01. 13 indexed citations

12.

Placidi, Lorenzo, Cristina Garibaldi, T. Rancati, et al.. (2021). A Multicentre Evaluation of Dosiomics Features Reproducibility, Stability and Sensitivity. Cancers. 13(15). 3835–3835. 36 indexed citations

13.

Castiglioni, Isabella, Francesca Gallivanone, Paolo Soda, et al.. (2019). AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2673–2699. 28 indexed citations

14.

Avanzo, Michele, Marco Trovò, Jean-Pierre Bissonnette, et al.. (2017). Voxel-by-voxel correlation between radiologically radiation induced lung injury and dose after image-guided, intensity modulated radiotherapy for lung tumors. Physica Medica. 42. 150–156. 25 indexed citations

15.

Avanzo, Michele, Joseph Stancanello, & Issam El Naqa. (2017). Beyond imaging: The promise of radiomics. Physica Medica. 38. 122–139. 349 indexed citations breakdown →

16.

Fabris, Linda, Stefania Berton, Francesca Citron, et al.. (2016). Radiotherapy-induced miR-223 prevents relapse of breast cancer by targeting the EGF pathway. Oncogene. 35(37). 4914–4926. 48 indexed citations

17.

Rink, Alexandra, et al.. (2016). Single-fraction flattening filter–free volumetric modulated arc therapy for lung cancer: Dosimetric results and comparison with flattened beams technique. Medical dosimetry. 41(4). 334–338. 11 indexed citations

18.

Avanzo, Michele, Marco Trovò, Joseph Stancanello, et al.. (2015). Hypofractionation of partial breast irradiation using radiobiological models. Physica Medica. 31(8). 1022–1028. 5 indexed citations

19.

Avanzo, Michele & Pantaleo Romanelli. (2008). Spinal radiosurgery: technology and clinical outcomes. Neurosurgical Review. 32(1). 1–13. 15 indexed citations

20.

Stancanello, Joseph, Carlo Cavedon, Paolo Francescon, et al.. (2006). From Morphological To Functional Definition Of Organs At Risk: The Role Of Fmri In Radiosurgery. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 16. 15–21. 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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