Calogero Casà

102 total papers · 1.3k total citations
53 papers, 843 citations indexed

About

Calogero Casà is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Calogero Casà has authored 53 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 17 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Epidemiology. Recurrent topics in Calogero Casà's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Endometrial and Cervical Cancer Treatments (9 papers) and Colorectal Cancer Surgical Treatments (8 papers). Calogero Casà is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Endometrial and Cervical Cancer Treatments (9 papers) and Colorectal Cancer Surgical Treatments (8 papers). Calogero Casà collaborates with scholars based in Italy, Netherlands and Spain. Calogero Casà's co-authors include Vincenzo Valentini, Maria Antonietta Gambacorta, N. Dinapoli, Jacopo Lenkowicz, Luca Boldrini, Davide Cusumano, Carlotta Masciocchi, Giuditta Chiloiro, Andrea Damiani and Luca Tagliaferri and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Radiation Oncology*Biology*Physics and The Journal of Pathology.

In The Last Decade

Calogero Casà

49 papers receiving 840 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Calogero Casà	464	453	160	131	130	53	843
Nikola Čihorić	195 0.4×	244 0.5×	144 0.9×	162 1.2×	277 2.1×	51	961
C. Durdux	360 0.8×	307 0.7×	248 1.6×	104 0.8×	328 2.5×	92	1.0k
Bruno Fionda	218 0.5×	309 0.7×	228 1.4×	44 0.3×	210 1.6×	102	814
Raphael Yechieli	274 0.6×	207 0.5×	177 1.1×	52 0.4×	293 2.3×	78	911
Susan Lalondrelle	276 0.6×	236 0.5×	281 1.8×	59 0.5×	231 1.8×	57	843
Hannah Simonds	226 0.5×	308 0.7×	130 0.8×	53 0.4×	98 0.8×	39	740
Laura Lavinia Travaini	408 0.9×	269 0.6×	222 1.4×	63 0.5×	355 2.7×	61	943
Cheryl A. Sadow	313 0.7×	196 0.4×	327 2.0×	111 0.8×	291 2.2×	33	886
J.M. Cosset	210 0.5×	242 0.5×	121 0.8×	37 0.3×	262 2.0×	43	814
Rosa Autorino	289 0.6×	233 0.5×	316 2.0×	37 0.3×	250 1.9×	49	869

Countries citing papers authored by Calogero Casà

Since Specialization

Citations

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

Fields of papers citing papers by Calogero Casà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Calogero Casà

This figure shows the co-authorship network connecting the top 25 collaborators of Calogero Casà. A scholar is included among the top collaborators of Calogero Casà 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 Calogero Casà. Calogero Casà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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