Jacopo Lenkowicz

6.1k total citations
72 papers, 1.3k citations indexed

About

Jacopo Lenkowicz is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering. According to data from OpenAlex, Jacopo Lenkowicz has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Oncology and 12 papers in Biomedical Engineering. Recurrent topics in Jacopo Lenkowicz's work include Radiomics and Machine Learning in Medical Imaging (34 papers), Colorectal Cancer Surgical Treatments (13 papers) and Advanced X-ray and CT Imaging (10 papers). Jacopo Lenkowicz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (34 papers), Colorectal Cancer Surgical Treatments (13 papers) and Advanced X-ray and CT Imaging (10 papers). Jacopo Lenkowicz collaborates with scholars based in Italy, United States and Spain. Jacopo Lenkowicz's co-authors include Vincenzo Valentini, Luca Boldrini, N. Dinapoli, Davide Cusumano, Giuditta Chiloiro, Maria Antonietta Gambacorta, Calogero Casà, Carlotta Masciocchi, Andrea Damiani and L. Azario and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jacopo Lenkowicz

66 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacopo Lenkowicz Italy	21	916	388	282	255	194	72	1.3k
Calogero Casà Italy	16	468 0.5×	456 1.2×	133 0.5×	132 0.5×	84 0.4×	53	857
Carlotta Masciocchi Italy	15	506 0.6×	338 0.9×	154 0.5×	139 0.5×	113 0.6×	47	869
N. Dinapoli Italy	27	1.1k 1.2×	601 1.5×	739 2.6×	286 1.1×	548 2.8×	97	2.1k
Benjamin H. Kann United States	22	949 1.0×	255 0.7×	503 1.8×	295 1.2×	217 1.1×	96	2.2k
Andrea Damiani Italy	16	407 0.4×	289 0.7×	128 0.5×	101 0.4×	78 0.4×	46	708
Jean‐Emmanuel Bibault France	25	921 1.0×	363 0.9×	526 1.9×	204 0.8×	534 2.8×	100	2.1k
Stephen R. Bowen United States	22	781 0.9×	107 0.3×	803 2.8×	199 0.8×	658 3.4×	94	1.6k
Philippe Coucke Switzerland	24	599 0.7×	855 2.2×	774 2.7×	105 0.4×	377 1.9×	140	2.4k
Roberto Gatta Italy	17	480 0.5×	233 0.6×	187 0.7×	118 0.5×	65 0.3×	83	942
Daniel W. Golden United States	23	587 0.6×	392 1.0×	424 1.5×	92 0.4×	362 1.9×	145	2.0k

Countries citing papers authored by Jacopo Lenkowicz

Since Specialization

Citations

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

Fields of papers citing papers by Jacopo Lenkowicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacopo Lenkowicz

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

Rinaldi, Riccardo, Michele Russo, Giovanni Occhipinti, et al.. (2025). Sex‐Related Differences in the Prognostic Role of Acetylcholine Provocation Testing. Journal of the American Heart Association. 14(5). e037942–e037942. 3 indexed citations

Rinaldi, Riccardo, Michele Russo, Alice Bonanni, et al.. (2025). Prognostic significance of individual COVADIS criteria in patients undergoing acetylcholine provocation testing. EuroIntervention. 21(6). e296–e306. 1 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

Bosello, Silvia Laura, Stefano Patarnello, Augusta Ortolan, et al.. (2024). A Comprehensive Natural Language Processing Pipeline for the Chronic Lupus Disease. Studies in health technology and informatics. 316. 909–913. 2 indexed citations

Nero, Camilla, Maria Lucia Specchia, Francesca Ciccarone, et al.. (2024). A cost-effectiveness analysis of an integrated clinical-radiogenomic screening program for the identification of BRCA 1/2 carriers (e-PROBE study). Scientific Reports. 14(1). 928–928. 3 indexed citations

D’Amario, Domenico, Renzo Laborante, Jacopo Lenkowicz, et al.. (2023). GENERATOR HEART FAILURE DataMart: An integrated framework for heart failure research. Frontiers in Cardiovascular Medicine. 10. 1104699–1104699. 7 indexed citations

D’Amario, Domenico, Daniele Rodolico, Renzo Laborante, et al.. (2023). Eligibility for the 4 Pharmacological Pillars in Heart Failure With Reduced Ejection Fraction at Discharge. Journal of the American Heart Association. 12(13). e029071–e029071. 18 indexed citations

Mercurio, Giovanna, Jacopo Lenkowicz, Stefano Patarnello, et al.. (2023). A novel risk score predicting 30‐day hospital re‐admission of patients with acute stroke by machine learning model. European Journal of Neurology. 31(3). e16153–e16153. 5 indexed citations

10.

Perri, Alessandro, Stefano Nobile, Lucia Giordano, et al.. (2023). The future of neonatal lung ultrasound: Validation of an artificial intelligence model for interpreting lung scans. A multicentre prospective diagnostic study. Pediatric Pulmonology. 58(9). 2610–2618. 1 indexed citations

11.

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

12.

Miccò, Maura, Benedetta Gui, Luca Russo, et al.. (2022). Preoperative Tumor Texture Analysis on MRI for High-Risk Disease Prediction in Endometrial Cancer: A Hypothesis-Generating Study. Journal of Personalized Medicine. 12(11). 1854–1854. 11 indexed citations

13.

Cilla, Savino, Gabriella Macchia, Jacopo Lenkowicz, et al.. (2022). CT angiography-based radiomics as a tool for carotid plaque characterization: a pilot study. La radiologia medica. 127(7). 743–753. 23 indexed citations

14.

Lenkowicz, Jacopo, Claudio Votta, Francesco Catucci, et al.. (2022). A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases. Radiotherapy and Oncology. 176. 31–38. 34 indexed citations

15.

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

16.

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

17.

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

18.

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

19.

Pagliara, Monica Maria, Luca Tagliaferri, Jacopo Lenkowicz, et al.. (2019). AVATAR: Analysis for Visual Acuity Prediction After Eye Interventional Radiotherapy. In Vivo. 34(1). 381–387. 7 indexed citations

20.

Gambacorta, Maria Antonietta, Antonino De Paoli, Marco Lupattelli, et al.. (2018). Phase I and II trial on infusional 5-fluorouracil and gefitinib in combination with preoperative radiotherapy in rectal cancer: 10-years median follow-up. Clinical and Translational Radiation Oncology. 10. 23–28. 2 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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