Marco Cuzzocrea

868 total citations
34 papers, 543 citations indexed

About

Marco Cuzzocrea is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Marco Cuzzocrea has authored 34 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 6 papers in Epidemiology. Recurrent topics in Marco Cuzzocrea's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (7 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Marco Cuzzocrea is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (7 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Marco Cuzzocrea collaborates with scholars based in Italy, Switzerland and United Kingdom. Marco Cuzzocrea's co-authors include Cinzia Crivellaro, Rodolfo Milani, Luca Guerra, Alessandro Buda, Federica Elisei, Emanuele Ferrante, Emanuela Orsi, Giovanna Mantovani, Maura Arosio and Danila Covelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of Surgical Oncology.

In The Last Decade

Marco Cuzzocrea

29 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Cuzzocrea Italy 9 190 171 169 128 90 34 543
Maribel Quezada-Feijoó Spain 15 38 0.2× 23 0.1× 16 0.1× 83 0.6× 91 1.0× 37 542
Gökçen Örgül Türkiye 12 169 0.9× 16 0.1× 20 0.1× 14 0.1× 49 0.5× 67 437
R Kalyani India 12 31 0.2× 11 0.1× 28 0.2× 35 0.3× 78 0.9× 44 360
Thiago Franchi Nunes Brazil 11 28 0.1× 22 0.1× 53 0.3× 9 0.1× 69 0.8× 74 361
Ayşe Oya Kurdaş Övünç Türkiye 8 18 0.1× 36 0.2× 36 0.2× 35 0.3× 179 2.0× 15 391
Na Xu China 11 30 0.2× 50 0.3× 22 0.1× 4 0.0× 104 1.2× 44 452
Lee Alexander Grant United Kingdom 13 64 0.3× 7 0.0× 12 0.1× 76 0.6× 110 1.2× 29 494
Άννα Πασπάλα Greece 12 27 0.1× 10 0.1× 38 0.2× 19 0.1× 61 0.7× 38 340
U. K. Wenderoth Germany 12 99 0.5× 17 0.1× 103 0.6× 37 0.3× 36 0.4× 21 673

Countries citing papers authored by Marco Cuzzocrea

Since Specialization
Citations

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

Fields of papers citing papers by Marco Cuzzocrea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Cuzzocrea

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cuzzocrea. A scholar is included among the top collaborators of Marco Cuzzocrea 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 Marco Cuzzocrea. Marco Cuzzocrea 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
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Cuzzocrea, Marco, Rosa Di Micco, Stefania Rizzo, et al.. (2025). The Role of [18F]FES PET/CT in Breast Cancer Management: An Umbrella Review. Cancers. 17(10). 1644–1644.
3.
Muoio, Barbara, Domenico Albano, Alessio Rizzo, et al.. (2025). The Prevalence and Significance of Incidental Positron Emission Tomography Findings in the Brain Using Radiotracers Other than [18F]FDG: A Systematic Review and Meta-Analysis. Diagnostics. 15(10). 1204–1204. 1 indexed citations
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Muoio, Barbara, Davide Giovanni Bosetti, Maddalena Sansovini, et al.. (2025). Peptide Receptor Radionuclide Therapy in Patients with Advanced, Recurrent or Progressive Meningioma: An Updated Systematic Review and Meta-Analysis. Cancers. 17(12). 2039–2039.
6.
Albano, Domenico, Alessio Rizzo, Arnoldo Piccardo, et al.. (2025). Meta-Analysis on the Prevalence and Significance of Incidental Findings in the Thyroid Gland Using Other PET Radiopharmaceuticals Beyond [18F]FDG. Pharmaceuticals. 18(5). 723–723. 1 indexed citations
7.
Cuzzocrea, Marco, Alessio Rizzo, Matteo Bauckneht, et al.. (2025). Diagnostic value of dual-tracer PET/CT with [18F]FDG and PSMA ligands in prostate cancer: an updated systematic review. Frontiers in Medicine. 12. 1607227–1607227.
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Rizzo, Alessio, Domenico Albano, Federica Elisei, et al.. (2024). The Potential Role of PSMA-Targeted PET in Salivary Gland Malignancies: An Updated Systematic Review. Diagnostics. 14(14). 1516–1516. 1 indexed citations
10.
Bosetti, Davide Giovanni, et al.. (2024). “Rosary Sign” at Somatostatin Receptor PET in a Case of Recurrent Meningioma. Diagnostics. 14(22). 2608–2608. 1 indexed citations
11.
Harder, Yves, Lorenzo Rossi, Simone Schiaffino, et al.. (2024). Albumin-To-Alkaline Phosphatase Ratio as a New Early Predictive Marker of Axillary Response in Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy: A Pilot Study. Medicina. 60(11). 1767–1767. 1 indexed citations
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Giovanella, Luca, Maria Luisa Garo, Marco Cuzzocrea, Gaetano Paone, & Ken Herrmann. (2023). Prognostic role of early prostate specific antigen changes after [177Lu]Lu‐PSMA radioligand therapy of metastasized prostate cancer: A meta‐analysis. European Journal of Clinical Investigation. 53(9). e14014–e14014. 6 indexed citations
14.
Laudicella, Riccardo, Matteo Bauckneht, Alexander Maurer, et al.. (2023). Can We Predict Skeletal Lesion on Bone Scan Based on Quantitative PSMA PET/CT Features?. Cancers. 15(22). 5471–5471. 2 indexed citations
15.
Treglia, Giorgio, Marco Cuzzocrea, Luca Giovanella, Luigia Elzi, & Barbara Muoio. (2021). Prevalence and Significance of Hypermetabolic Lymph Nodes Detected by 2-[18F]FDG PET/CT after COVID-19 Vaccination: A Systematic Review and a Meta-Analysis. Pharmaceuticals. 14(8). 762–762. 24 indexed citations
16.
Laudicella, Riccardo, Federico Caobelli, Priscilla Guglielmo, et al.. (2020). Clinical Impact of 18F-FDG PET/CT in the Diagnostic Workup of Pancreatic Ductal Adenocarcinoma: A Systematic Review. Diagnostics. 10(12). 1042–1042. 14 indexed citations
17.
Popescu, Cristina, et al.. (2018). Assessment of myocardial sympathetic innervation by PET in patients with heart failure: a review of the most recent advances and future perspectives. Clinical and Translational Imaging. 6(6). 459–470. 2 indexed citations
18.
Buda, Alessandro, Cinzia Crivellaro, Federica Elisei, et al.. (2015). Impact of Indocyanine Green for Sentinel Lymph Node Mapping in Early Stage Endometrial and Cervical Cancer: Comparison with Conventional Radiotracer 99mTc and/or Blue Dye. Annals of Surgical Oncology. 23(7). 2183–2191. 89 indexed citations
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Fruscio, Robert, Federica Sina, Mauro Signorelli, et al.. (2013). Preoperative 18F-FDG PET/CT in the management of advanced epithelial ovarian cancer. Gynecologic Oncology. 131(3). 689–693. 37 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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