G. Marchioro

155 total papers · 1.4k total citations
40 papers, 873 citations indexed

About

G. Marchioro is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, G. Marchioro has authored 40 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 7 papers in Rheumatology. Recurrent topics in G. Marchioro's work include Prostate Cancer Treatment and Research (25 papers), Prostate Cancer Diagnosis and Treatment (24 papers) and Urologic and reproductive health conditions (7 papers). G. Marchioro is often cited by papers focused on Prostate Cancer Treatment and Research (25 papers), Prostate Cancer Diagnosis and Treatment (24 papers) and Urologic and reproductive health conditions (7 papers). G. Marchioro collaborates with scholars based in Italy, Belgium and United States. G. Marchioro's co-authors include Paolo Gontero, Steven Joniau, Hendrik Van Poppel, Martin Spahn, Burkhard Kneitz, A Tizzani, D. Frohneberg, Bruno Frea, Bertrand Tombal and Alberto Briganti and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Urology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

G. Marchioro

35 papers receiving 849 citations

Author Peers

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

Author						Papers	Cites
G. Marchioro	728	196	156	156	90	40	873
Holger Borchers	681 0.9×	107 0.5×	211 1.4×	150 1.0×	66 0.7×	58	930
Jeffrey Karnes	824 1.1×	338 1.7×	217 1.4×	136 0.9×	63 0.7×	33	966
Nathan Perlis	557 0.8×	187 1.0×	293 1.9×	103 0.7×	40 0.4×	83	941
Mark S. Austenfeld	520 0.7×	81 0.4×	230 1.5×	145 0.9×	57 0.6×	17	765
F. Keuppens	481 0.7×	73 0.4×	138 0.9×	70 0.4×	51 0.6×	45	799
Lydia T Madsen	459 0.6×	108 0.6×	164 1.1×	143 0.9×	50 0.6×	30	733
Carmen Maccagnano	502 0.7×	161 0.8×	219 1.4×	72 0.5×	46 0.5×	31	813
Claire Murphy	478 0.7×	79 0.4×	90 0.6×	107 0.7×	56 0.6×	33	944
Lih‐Ming Wong	533 0.7×	137 0.7×	197 1.3×	120 0.8×	62 0.7×	68	786
S.K. Sundaram	449 0.6×	56 0.3×	246 1.6×	87 0.6×	63 0.7×	33	797

Countries citing papers authored by G. Marchioro

Since Specialization

Citations

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

Fields of papers citing papers by G. Marchioro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Marchioro

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