Luca Basso

417 total citations
25 papers, 282 citations indexed

About

Luca Basso is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Luca Basso has authored 25 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Luca Basso's work include Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (8 papers) and Advanced MRI Techniques and Applications (3 papers). Luca Basso is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (8 papers) and Advanced MRI Techniques and Applications (3 papers). Luca Basso collaborates with scholars based in Italy, United Kingdom and Japan. Luca Basso's co-authors include Marco Salvatore, Carlo Cavaliere, Emanuele Nicolai, Valentina Brancato, Alfonso Ragozzino, Valeria Romeo, Giuseppe Costanzo, Simone Maurea, Teresa Perillo and Marco Aiello and has published in prestigious journals such as Scientific Reports, Cortex and Cancers.

In The Last Decade

Luca Basso

22 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Basso Italy 11 181 80 36 33 28 25 282
Nils Martin Bruckmann Germany 12 254 1.4× 94 1.2× 57 1.6× 27 0.8× 31 1.1× 33 454
Tali Amir United States 8 108 0.6× 135 1.7× 29 0.8× 36 1.1× 35 1.3× 18 236
Xiaoming Zhou China 10 223 1.2× 75 0.9× 16 0.4× 45 1.4× 22 0.8× 24 323
Gaspare Arnone Italy 10 117 0.6× 57 0.7× 39 1.1× 18 0.5× 48 1.7× 17 233
Sara Pourhassan Shamchi United States 7 142 0.8× 69 0.9× 45 1.3× 10 0.3× 32 1.1× 17 296
Nosheen Fatima Pakistan 9 95 0.5× 56 0.7× 23 0.6× 21 0.6× 55 2.0× 61 270
Gaia Ninatti Italy 8 182 1.0× 72 0.9× 24 0.7× 49 1.5× 20 0.7× 18 249
Jianjun Xiu China 11 145 0.8× 104 1.3× 41 1.1× 7 0.2× 30 1.1× 18 293
Nina Pötsch Austria 9 242 1.3× 133 1.7× 29 0.8× 53 1.6× 15 0.5× 19 326
Majid Assadi Iran 9 144 0.8× 61 0.8× 12 0.3× 34 1.0× 21 0.8× 27 246

Countries citing papers authored by Luca Basso

Since Specialization
Citations

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

Fields of papers citing papers by Luca Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Basso

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Basso. A scholar is included among the top collaborators of Luca Basso 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 Luca Basso. Luca Basso 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.
2.
Pugliese, Novella, Carlo Cavaliere, Luca Basso, et al.. (2025). Spleen volume assessment in Ph-negative chronic myeloproliferative neoplasms: a real-life study comparing ultrasonography vs. magnetic resonance imaging scans. Annals of Hematology. 104(1). 383–388.
3.
Alfano, Vincenzo, et al.. (2024). Advanced neuroimaging techniques in the clinical routine: A comprehensive MRI case study. 6(2). 1 indexed citations
4.
Castaldo, Rossana, Carlo Cavaliere, Mariarosaria Incoronato, et al.. (2022). A Complex Radiomic Signature in Luminal Breast Cancer from a Weighted Statistical Framework: A Pilot Study. Diagnostics. 12(2). 499–499. 11 indexed citations
5.
Amboni, Marianna, Carlo Ricciardi, Sarah Adamo, et al.. (2022). Machine learning can predict mild cognitive impairment in Parkinson's disease. Frontiers in Neurology. 13. 1010147–1010147. 14 indexed citations
6.
Brancato, Valentina, Giuseppe Della Pepa, Lutgarda Bozzetto, et al.. (2022). Evaluation of a Whole-Liver Dixon-Based MRI Approach for Quantification of Liver Fat in Patients with Type 2 Diabetes Treated with Two Isocaloric Different Diets. Diagnostics. 12(2). 514–514. 3 indexed citations
7.
Pace, Leonardo, Emanuele Nicolai, Carlo Cavaliere, et al.. (2021). Prognostic value of 18F-FDG PET/MRI in patients with advanced oropharyngeal and hypopharyngeal squamous cell carcinoma. Annals of Nuclear Medicine. 35(4). 479–484. 10 indexed citations
8.
Borrelli, Pasquale, Miriam Zacchia, Carlo Cavaliere, et al.. (2021). Diffusion tensor imaging for the study of early renal dysfunction in patients affected by bardet-biedl syndrome. Scientific Reports. 11(1). 20855–20855. 2 indexed citations
9.
Brancato, Valentina, Marco Aiello, Luca Basso, et al.. (2021). Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions. Scientific Reports. 11(1). 643–643. 32 indexed citations
10.
Basso, Luca, et al.. (2021). Investigating Dual-Energy CT Post-Contrast Phases for Liver Iron Quantification: A Preliminary Study. Dose-Response. 19(2). 1485761311–1485761311. 6 indexed citations
11.
Pace, Leonardo, et al.. (2020). Brown Adipose Tissue in Breast Cancer Evaluated by [18F] FDG-PET/CT. Molecular Imaging and Biology. 22(4). 1111–1115. 12 indexed citations
12.
Romeo, Valeria, Chiara Simeoli, Elia Guadagno, et al.. (2020). Characterization with hybrid imaging of cystic pheochromocytomas: correlation with pathology. Quantitative Imaging in Medicine and Surgery. 11(2). 862–869. 7 indexed citations
13.
Romeo, Valeria, Carlo Cavaliere, Massimo Imbriaco, et al.. (2020). Tumor segmentation analysis at different post-contrast time points: A possible source of variability of quantitative DCE-MRI parameters in locally advanced breast cancer. European Journal of Radiology. 126. 108907–108907. 17 indexed citations
14.
Verde, Francesco, Elena Vigliar, Valeria Romeo, et al.. (2020). Breast implant associated anaplastic large cell lymphoma (BIA-ALCL): a challenging cytological diagnosis with hybrid PET/MRI staging and follow-up. Breast Cancer. 28(2). 527–532. 4 indexed citations
15.
Brancato, Valentina, Marco Aiello, Roberta Della Pepa, et al.. (2020). Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach. Diagnostics. 10(9). 702–702. 2 indexed citations
16.
Monti, Serena, Valentina Brancato, Giuseppe Costanzo, et al.. (2020). Multiparametric MRI for Prostate Cancer Detection: New Insights into the Combined Use of a Radiomic Approach with Advanced Acquisition Protocol. Cancers. 12(2). 390–390. 21 indexed citations
17.
Brancato, Valentina, et al.. (2020). Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility. Diagnostics. 10(3). 164–164. 30 indexed citations
18.
Borrelli, Pasquale, Carlo Cavaliere, Luca Basso, et al.. (2019). Diffusion Tensor Imaging of the Kidney: Design and Evaluation of a Reliable Processing Pipeline. Scientific Reports. 9(1). 12789–12789. 17 indexed citations
19.
Auletta, Luigi, Leonardo Meomartino, Luca Basso, et al.. (2019). Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models. Contrast Media & Molecular Imaging. 2019. 1–15. 16 indexed citations
20.
Cavaliere, Carlo, et al.. (2019). Magnetic Resonance Imaging for Translational Research in Oncology. Journal of Clinical Medicine. 8(11). 1883–1883. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nils Martin Bruckmann Breakdown of academic impact, for papers by Tali Amir Breakdown of academic impact, for papers by Xiaoming Zhou Breakdown of academic impact, for papers by Gaspare Arnone Breakdown of academic impact, for papers by Sara Pourhassan Shamchi Breakdown of academic impact, for papers by Nosheen Fatima Breakdown of academic impact, for papers by Gaia Ninatti Breakdown of academic impact, for papers by Jianjun Xiu Breakdown of academic impact, for papers by Nina Pötsch Breakdown of academic impact, for papers by Majid Assadi
Rankless by CCL
2026