Davide Cusumano

2.4k total citations
95 papers, 1.7k citations indexed

About

Davide Cusumano is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Davide Cusumano has authored 95 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Radiology, Nuclear Medicine and Imaging, 53 papers in Radiation and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Davide Cusumano's work include Advanced Radiotherapy Techniques (52 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Medical Imaging Techniques and Applications (28 papers). Davide Cusumano is often cited by papers focused on Advanced Radiotherapy Techniques (52 papers), Radiomics and Machine Learning in Medical Imaging (39 papers) and Medical Imaging Techniques and Applications (28 papers). Davide Cusumano collaborates with scholars based in Italy, United States and Germany. Davide Cusumano's co-authors include Luca Boldrini, Vincenzo Valentini, Giuditta Chiloiro, Lorenzo Placidi, Francesco Cellini, L. Azario, Jacopo Lenkowicz, Maria Antonietta Gambacorta, N. Dinapoli and Gian Carlo Mattiucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of neurosurgery.

In The Last Decade

Davide Cusumano

89 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Cusumano Italy	24	1.3k	796	521	490	327	95	1.7k
Giuditta Chiloiro Italy	19	975 0.8×	497 0.6×	338 0.6×	698 1.4×	240 0.7×	96	1.5k
S. Broggi Italy	27	1.1k 0.8×	1.5k 1.9×	1.3k 2.5×	272 0.6×	304 0.9×	113	2.2k
Lauren E. Henke United States	25	1.3k 1.0×	1.4k 1.7×	1.0k 1.9×	347 0.7×	211 0.6×	110	2.2k
Maria Thor United States	23	922 0.7×	720 0.9×	650 1.2×	211 0.4×	252 0.8×	97	1.4k
Cristina Garibaldi Italy	26	918 0.7×	1.1k 1.4×	941 1.8×	180 0.4×	236 0.7×	93	1.8k
Martijn Intven Netherlands	28	1.4k 1.0×	990 1.2×	779 1.5×	1.1k 2.3×	202 0.6×	110	2.3k
Noriyuki Kadoya Japan	24	1.1k 0.9×	1.2k 1.5×	941 1.8×	93 0.2×	475 1.5×	142	1.8k
Stephen R. Bowen United States	22	781 0.6×	658 0.8×	803 1.5×	107 0.2×	199 0.6×	94	1.6k
Giovanni Mauro Cattaneo Italy	29	1.3k 1.0×	1.7k 2.2×	1.5k 2.9×	331 0.7×	363 1.1×	84	2.6k
Lorenzo Placidi Italy	21	816 0.6×	767 1.0×	498 1.0×	144 0.3×	237 0.7×	86	1.2k

Countries citing papers authored by Davide Cusumano

Since Specialization

Citations

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

Fields of papers citing papers by Davide Cusumano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Cusumano

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

Catucci, Francesco, Jacopo Lenkowicz, Claudio Votta, et al.. (2025). A deep learning algorithm to generate synthetic computed tomography images for brain treatments from 0.35 T magnetic resonance imaging. Physics and Imaging in Radiation Oncology. 33. 100708–100708. 1 indexed citations

Mazzucchi, Edoardo, Fabrizio Pignotti, Davide Cusumano, et al.. (2025). Psychopathological Influences on Surgical and Clinical Outcomes in Lumbar Disk Herniation: Prediction Models and Literature Analysis. Journal of Personalized Medicine. 15(2). 48–48. 2 indexed citations

De‐Giorgio, Fabio, Davide Cusumano, Roberto Gatta, et al.. (2025). Estimation liver radiomics from postmortem CT: Development of interpretable models for postmortem interval estimation. Physica Medica. 138. 105186–105186.

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

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

Fusella, M., Editha Andres, Lisa Milan, et al.. (2024). Results of 2023 survey on the use of synthetic computed tomography for magnetic resonance Imaging-only radiotherapy: Current status and future steps. Physics and Imaging in Radiation Oncology. 32. 100652–100652. 2 indexed citations

Rocca, Giuseppe La, Edoardo Mazzucchi, Fabrizio Pignotti, et al.. (2024). Mindfulness vs. Physiotherapy vs. Medical Therapy: Uncovering the Best Postoperative Recovery Method for Low Back Surgery Patients during the COVID-19 Pandemic—A Single Institution’s Experience. Journal of Personalized Medicine. 14(9). 917–917. 3 indexed citations

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

Lenkowicz, Jacopo, Francesco Catucci, Andrea D’Aviero, et al.. (2024). A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence. Applied Sciences. 14(11). 4844–4844. 3 indexed citations

10.

Mazzucchi, Edoardo, Fabrizio Pignotti, Giuseppe La Rocca, et al.. (2024). Evaluation of the extent of resection of intracranial tumors with virtual intraoperative MRI: a case series. Journal of neurosurgery. 141(3). 695–701. 2 indexed citations

11.

Moretti, Roberto, Lorenzo Placidi, Davide Cusumano, et al.. (2024). The Role of Lung Density in the Voxel-Based Dosimetry of 90Y-TARE Evaluated with the Voxel S-Value (VSV) Method and Fast Monte Carlo Simulation. Applied Sciences. 14(3). 1019–1019. 2 indexed citations

12.

Romano, Angela, Claudio Votta, Giuditta Chiloiro, et al.. (2024). Uterus motion analysis for radiotherapy planning optimization. The innovative contribution of on-board hybrid MR imaging. Clinical and Translational Radiation Oncology. 47. 100808–100808.

13.

Mazzucchi, Edoardo, Giuseppe La Rocca, Davide Cusumano, et al.. (2023). The role of psychopathological symptoms in lumbar stenosis: A prediction model of disability after lumbar decompression and fusion. Frontiers in Psychology. 14. 1070205–1070205. 4 indexed citations

14.

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

15.

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

16.

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

17.

Piras, Antonio, Luca Boldrini, Andrea D’Aviero, et al.. (2022). Five-Fraction Stereotactic Radiotherapy for Brain Metastases: A Single-Institution Experience on Different Dose Schedules. Oncology Research and Treatment. 45(7-8). 408–414. 4 indexed citations

18.

Gui, Benedetta, Rosa Autorino, Maura Miccò, et al.. (2021). Pretreatment MRI Radiomics Based Response Prediction Model in Locally Advanced Cervical Cancer. Diagnostics. 11(4). 631–631. 19 indexed citations

19.

Chiloiro, Giuditta, Davide Cusumano, Paola De Franco, et al.. (2021). Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development. La radiologia medica. 127(1). 11–20. 39 indexed citations

20.

Boldrini, Luca, Antonio Piras, Giuditta Chiloiro, et al.. (2020). Low Tesla magnetic resonance guided radiotherapy for locally advanced cervical cancer: first clinical experience. Tumori Journal. 106(6). 497–505. 18 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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