Luca Boldrini

9.9k total citations · 1 hit paper
235 papers, 3.6k citations indexed

About

Luca Boldrini is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Luca Boldrini has authored 235 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Radiology, Nuclear Medicine and Imaging, 84 papers in Pulmonary and Respiratory Medicine and 76 papers in Radiation. Recurrent topics in Luca Boldrini's work include Radiomics and Machine Learning in Medical Imaging (99 papers), Advanced Radiotherapy Techniques (76 papers) and Medical Imaging Techniques and Applications (36 papers). Luca Boldrini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (99 papers), Advanced Radiotherapy Techniques (76 papers) and Medical Imaging Techniques and Applications (36 papers). Luca Boldrini collaborates with scholars based in Italy, United States and Germany. Luca Boldrini's co-authors include Vincenzo Valentini, Davide Cusumano, Giuditta Chiloiro, Maria Antonietta Gambacorta, Francesco Cellini, Jacopo Lenkowicz, N. Dinapoli, L. Azario, Lorenzo Placidi and Gian Carlo Mattiucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Luca Boldrini

211 papers receiving 3.6k 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.

MR-guidance in clinical reality: current treatment challenges and future perspectives

2019 264 citations Stefanie Corradini, Claus Belka et al. Radiation Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Boldrini Italy	32	2.4k	1.3k	1.1k	845	600	235	3.6k
Charlotte Robert France	21	2.9k 1.2×	622 0.5×	1.4k 1.2×	866 1.0×	743 1.2×	59	3.8k
Ulrike Schick France	30	1.8k 0.7×	427 0.3×	1.4k 1.2×	732 0.9×	415 0.7×	189	3.1k
Erik Roelofs Netherlands	16	3.9k 1.6×	423 0.3×	1.8k 1.6×	836 1.0×	965 1.6×	43	4.7k
R. de Crevoisier France	35	1.8k 0.8×	2.2k 1.6×	2.2k 1.9×	366 0.4×	729 1.2×	219	4.0k
Shalini Vinod Australia	30	1.4k 0.6×	1.0k 0.8×	1.4k 1.3×	787 0.9×	251 0.4×	162	3.1k
Maximilian Niyazi Germany	40	2.2k 0.9×	1.4k 1.0×	2.3k 2.0×	928 1.1×	419 0.7×	270	6.2k
Stefan Both United States	33	1.3k 0.5×	2.0k 1.5×	2.1k 1.8×	368 0.4×	357 0.6×	206	3.4k
Stanley Benedict United States	36	1.9k 0.8×	2.0k 1.5×	1.8k 1.6×	258 0.3×	491 0.8×	138	3.5k
Michael J. Eble Germany	36	1.5k 0.6×	1.5k 1.1×	2.4k 2.1×	582 0.7×	272 0.5×	173	4.1k
Shruti Jolly United States	30	1.0k 0.4×	928 0.7×	1.1k 1.0×	624 0.7×	272 0.5×	155	4.4k

Countries citing papers authored by Luca Boldrini

Since Specialization

Citations

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

Fields of papers citing papers by Luca Boldrini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Boldrini

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Boldrini. A scholar is included among the top collaborators of Luca Boldrini 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 Boldrini. Luca Boldrini 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

Triumbari, Elizabeth Katherine Anna, David Morland, Roberto Gatta, et al.. (2025). The predictive power of 18F-FDG PET/CT two-lesions radiomics and conventional models in classical Hodgkin’s Lymphoma: a comparative retrospectively-validated study. Annals of Hematology. 104(1). 641–651. 2 indexed citations

Chiappetta, Marco, Elisa De Paolis, Dania Nachira, et al.. (2025). The Role of ctDNA for Diagnosis and Histological Prediction in Early Stage Non-Small-Cell Lung Cancer: A Narrative Review. Diagnostics. 15(7). 904–904. 3 indexed citations

Chiloiro, Giuditta, et al.. (2025). Personalised medicine through AI-enhanced integration of diagnostic imaging and radiation therapy. European Radiology Experimental. 9(1). 125–125.

Chiloiro, Giuditta, Luca Boldrini, Angela Romano, et al.. (2024). REPeated mAgnetic resonance Image-guided stereotactic body Radiotherapy (MRIg-reSBRT) for oligometastatic patients: REPAIR, a mono-institutional retrospective study. Radiation Oncology. 19(1). 52–52. 1 indexed citations

Romano, Angela, Giuditta Chiloiro, Luca Boldrini, et al.. (2024). Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models. Physica Medica. 119. 103297–103297. 9 indexed citations

Comes, Maria Colomba, Annarita Fanizzi, Samantha Bove, et al.. (2024). Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers‐Based Model. Cancer Medicine. 13(24). e70482–e70482. 1 indexed citations

Boldrini, Luca, Giuditta Chiloiro, Angela Romano, et al.. (2024). MOREOVER: multiomics MR-guided radiotherapy optimization in locally advanced rectal cancer. Radiation Oncology. 19(1). 94–94. 6 indexed citations

Romano, Angela, Lorenzo Placidi, Luca Boldrini, et al.. (2024). Magnetic Resonance Imaging Guided Radiation Therapy for Splenomegaly: Clinical Experiences and Technical Tips. Advances in Radiation Oncology. 9(11). 101616–101616.

Familiari, Alessandra, C. Di Ilio, Tiziana Fanelli, et al.. (2024). OP02.09: AIRFRAME: artificial intelligence for recognition of fetal brain anomalies from ultrasound images of the first trimester. Ultrasound in Obstetrics and Gynecology. 64(S1). 64–65.

10.

Russo, Luca, et al.. (2024). Radiomics for clinical decision support in radiation oncology. Clinical Oncology. 36(8). e269–e281. 13 indexed citations

11.

Uğurluer, Gamze, Famke L. Schneiders, Stefanie Corradini, et al.. (2024). Factors influencing local control after MR-guided stereotactic body radiotherapy (MRgSBRT) for adrenal metastases. Clinical and Translational Radiation Oncology. 46. 100756–100756. 3 indexed citations

12.

Nardone, Valerio, Alfonso Reginelli, Maria Paola Belfiore, et al.. (2024). Delta radiomics: an updated systematic review. La radiologia medica. 129(8). 1197–1214. 18 indexed citations

13.

Ballhausen, Hendrik, Stefanie Corradini, Claus Belka, et al.. (2024). Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. npj Digital Medicine. 7(1). 280–280. 4 indexed citations

14.

Piras, Antonio, Viviana Benfante, Muhammad Ali, et al.. (2024). Artificial Intelligence and Statistical Models for the Prediction of Radiotherapy Toxicity in Prostate Cancer: A Systematic Review. Applied Sciences. 14(23). 10947–10947. 4 indexed citations

15.

Triumbari, Elizabeth Katherine Anna, Roberto Gatta, Elena Maiolo, et al.. (2023). Baseline 18F-FDG PET/CT Radiomics in Classical Hodgkin’s Lymphoma: The Predictive Role of the Largest and the Hottest Lesions. Diagnostics. 13(8). 1391–1391. 7 indexed citations

16.

Chiloiro, Giuditta, Davide Cusumano, Angela Romano, et al.. (2023). Delta Radiomic Analysis of Mesorectum to Predict Treatment Response and Prognosis in Locally Advanced Rectal Cancer. Cancers. 15(12). 3082–3082. 12 indexed citations

17.

Casà, Calogero, Antonio Piras, Andrea D’Aviero, et al.. (2022). The impact of radiomics in diagnosis and staging of pancreatic cancer. SHILAP Revista de lepidopterología. 15. 2402359804–2402359804. 26 indexed citations

18.

Piras, Antonio, et al.. (2022). Covid-19 and radiotherapy: a systematic review after 2 years of pandemic. Clinical and Translational Imaging. 10(6). 611–630. 14 indexed citations

19.

Fionda, Bruno, Valentina Lancellotta, Calogero Casà, et al.. (2021). Radiotherapy for benign disorders: current use in clinical practice. SHILAP Revista de lepidopterología. 3 indexed citations

20.

Rizzi, Angela, Riccardo Inchingolo, Marinella Viola, et al.. (2021). Occupational hand dermatitis web survey in a university hospital during COVID-19 pandemic: the SHIELD study. La Medicina del lavoro. 112(4). 320–326. 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.

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