Marco Cuzzocrea

868 citations
34 papers · 543 · h-index 9

Impact in

Papers in

Marco Cuzzocrea

29 papers receiving 534 citations

Peers

Marco Cuzzocrea
Comparison fields: 5 of 56
  • Obstetrics and Gynecology 190
  • Reproductive Medicine 128
  • Endocrinology, Diabetes and Metabolism 169
  • Infectious Diseases 171
  • Neurology 60
Replace R Kalyani with:
R Kalyani India
Maribel Quezada-Feijoó Spain
Gökçen Örgül Türkiye
Michele M. Weir Canada
Άννα Πασπάλα Greece
Christoph Wohlmuth Austria
Jacob Kaneti Israel
Lee Alexander Grant United Kingdom
Thiago Franchi Nunes Brazil
Marco Cuzzocrea relative to R Kalyani India R Kalyani's profile →
Citations per field
00.5×10×15.5×
R Kalyani · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Marco Cuzzocrea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Cuzzocrea Line = papers co-authored together Marco Cuzzocrea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020228
2 201589
3 201545
4 201337
5 201625
6 202124
7 202117
8 202115
9 202014
10 20187
11 20236
12 20136
13 20244
14 20134
15 20243
16 20232
17 20182
18 20232
19 20212
20 20212

About Marco Cuzzocrea

Marco Cuzzocrea is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 543 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Breast Cancer Treatment Studies (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Uterine Myomas and Treatments (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Obstetrics and Gynecology (190 citations), Reproductive Medicine (128 citations), Endocrinology, Diabetes and Metabolism (169 citations), Infectious Diseases (171 citations) and Neurology (60 citations). Marco Cuzzocrea has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Cinzia Crivellaro, Rodolfo Milani, Luca Guerra, Federica Elisei, Alessandro Buda, Emanuele Ferrante, Alessandra Bandera, Emanuela Orsi, Antonio Muscatello and Giovanna Mantovani. Their work appears in journals such as Cancers, Pharmaceuticals, Annals of Surgical Oncology, Frontiers in Medicine and The Lancet Diabetes & Endocrinology.

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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