Michele Sica

142 total papers · 753 total citations
39 papers, 365 citations indexed

About

Michele Sica is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Michele Sica has authored 39 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 17 papers in Surgery and 8 papers in Urology. Recurrent topics in Michele Sica's work include Prostate Cancer Diagnosis and Treatment (11 papers), Renal cell carcinoma treatment (8 papers) and Surgical Simulation and Training (8 papers). Michele Sica is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (11 papers), Renal cell carcinoma treatment (8 papers) and Surgical Simulation and Training (8 papers). Michele Sica collaborates with scholars based in Italy, Netherlands and United States. Michele Sica's co-authors include Daniele Amparore, Cristian Fiori, Enrico Checcucci, Sabrina De Cillis, Alberto Piana, Francesco Porpiglia, Matteo Manfredi, Federico Piramide, Paolo Verri and G. Volpi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and The Journal of Urology.

In The Last Decade

Michele Sica

36 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
Michele Sica	222	202	69	42	41	39	365
Tom A. Watson	188 0.8×	100 0.5×	10 0.1×	9 0.2×	11 0.3×	41	370
Clarence J. Schein	185 0.8×	133 0.7×	26 0.4×	7 0.2×	9 0.2×	39	334
Amar Shah	212 1.0×	57 0.3×	13 0.2×	4 0.1×	51 1.2×	56	327
Ronald D. Harris	141 0.6×	175 0.9×	11 0.2×	4 0.1×	15 0.4×	33	327
N Rajendran	193 0.9×	31 0.2×	52 0.8×	6 0.1×	12 0.3×	38	352
Pierre Lingier	218 1.0×	25 0.1×	49 0.7×	4 0.1×	19 0.5×	25	302
Alparslan Ünsal	104 0.5×	86 0.4×	4 0.1×	20 0.5×	35 0.9×	37	322
Diego Coletta	207 0.9×	78 0.4×	30 0.4×	24 0.6×	21 0.5×	34	321
Nicholas S.Y. Chao	228 1.0×	37 0.2×	28 0.4×	3 0.1×	23 0.6×	26	335
Sang Jin Kim	72 0.3×	211 1.0×	5 0.1×	14 0.3×	37 0.9×	31	357

Countries citing papers authored by Michele Sica

Since Specialization

Citations

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

Fields of papers citing papers by Michele Sica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Sica

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