Fabrizio Presicce

70 total papers · 986 total citations
41 papers, 680 citations indexed

About

Fabrizio Presicce is a scholar working on Urology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Fabrizio Presicce has authored 41 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Urology, 19 papers in Pulmonary and Respiratory Medicine and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Fabrizio Presicce's work include Urinary Bladder and Prostate Research (22 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and Hormonal and reproductive studies (9 papers). Fabrizio Presicce is often cited by papers focused on Urinary Bladder and Prostate Research (22 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and Hormonal and reproductive studies (9 papers). Fabrizio Presicce collaborates with scholars based in Italy, United States and Brazil. Fabrizio Presicce's co-authors include Andrea Tubaro, Cosimo De Nunzio, Riccardo Lombardo, Mauro Gacci, Alberto Trucchi, Giovanni Cacciamani, Andrea Minervini, Andrea Cocci, Sebastiano Cimino and Giorgio Ivan Russo and has published in prestigious journals such as The Journal of Urology, Urology and British Journal of Urology.

In The Last Decade

Fabrizio Presicce

36 papers receiving 667 citations

Author Peers

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

Author						Papers	Cites
Fabrizio Presicce	312	304	146	108	89	41	680
Richard Casey	309 1.0×	197 0.6×	161 1.1×	234 2.2×	213 2.4×	41	719
Paul Schramek	262 0.8×	193 0.6×	146 1.0×	172 1.6×	197 2.2×	49	659
Jintetsu Soh	206 0.7×	141 0.5×	98 0.7×	116 1.1×	112 1.3×	36	562
Robert Pickard	406 1.3×	253 0.8×	229 1.6×	186 1.7×	205 2.3×	29	662
Giuseppe Paradiso Galatioto	267 0.9×	186 0.6×	180 1.2×	41 0.4×	97 1.1×	40	632
Francesco Chierigo	159 0.5×	272 0.9×	89 0.6×	96 0.9×	130 1.5×	83	730
M. Rizzo	207 0.7×	202 0.7×	162 1.1×	88 0.8×	179 2.0×	23	560
Ömer Gülpınar	250 0.8×	210 0.7×	143 1.0×	78 0.7×	94 1.1×	69	684
Ali Memiş	429 1.4×	289 1.0×	189 1.3×	233 2.2×	81 0.9×	56	755
Ahmet Erbağcı	168 0.5×	375 1.2×	72 0.5×	40 0.4×	78 0.9×	50	767

Countries citing papers authored by Fabrizio Presicce

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Presicce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Presicce

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