ROSARIA D’URSO

41 total papers · 572 total citations
34 papers, 466 citations indexed

About

ROSARIA D’URSO is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, ROSARIA D’URSO has authored 34 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in ROSARIA D’URSO's work include Gastric Cancer Management and Outcomes (11 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). ROSARIA D’URSO is often cited by papers focused on Gastric Cancer Management and Outcomes (11 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). ROSARIA D’URSO collaborates with scholars based in Italy and United Kingdom. ROSARIA D’URSO's co-authors include P. Falaschi, Antonella Proietti, Edoardo Virgilio, Maria Rosaria Giovagnoli, Marco Cavallini, Genoveffa Balducci, Enrico Giarnieri, Paolo Mercantini, Antonio Martocchia and A. Proietti and has published in prestigious journals such as Neurology, Endocrinology and Annals of the New York Academy of Sciences.

In The Last Decade

ROSARIA D’URSO

34 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
ROSARIA D’URSO 114 104 98 83 75 34 466
Yulin Ma 87 0.8× 85 0.8× 212 2.2× 86 1.0× 52 0.7× 34 552
Lingxin Zhang 46 0.4× 94 0.9× 83 0.8× 63 0.8× 31 0.4× 35 446
Bingwei Li 44 0.4× 50 0.5× 180 1.8× 79 1.0× 50 0.7× 47 504
Gianfranco De Dominicis 67 0.6× 70 0.7× 160 1.6× 36 0.4× 35 0.5× 27 430
Francisco Tejada Cifuentes 91 0.8× 50 0.5× 167 1.7× 48 0.6× 16 0.2× 38 536
K Okada 196 1.7× 80 0.8× 131 1.3× 30 0.4× 84 1.1× 31 551
M Okamoto 103 0.9× 122 1.2× 137 1.4× 23 0.3× 104 1.4× 32 539
Akinobu Nakano 48 0.4× 58 0.6× 115 1.2× 86 1.0× 26 0.3× 33 405
Vincenzo Nardini 127 1.1× 72 0.7× 173 1.8× 55 0.7× 47 0.6× 30 517
A. Polyzos 91 0.8× 68 0.7× 175 1.8× 22 0.3× 26 0.3× 35 514

Countries citing papers authored by ROSARIA D’URSO

Since Specialization
Citations

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

Fields of papers citing papers by ROSARIA D’URSO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by ROSARIA D’URSO. 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 ROSARIA D’URSO. The network helps show where ROSARIA D’URSO may publish in the future.

Co-authorship network of co-authors of ROSARIA D’URSO

This figure shows the co-authorship network connecting the top 25 collaborators of ROSARIA D’URSO. A scholar is included among the top collaborators of ROSARIA D’URSO 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 ROSARIA D’URSO. ROSARIA D’URSO 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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2026