Rita De Rosa

48 total papers · 461 total citations
29 papers, 308 citations indexed

About

Rita De Rosa is a scholar working on Epidemiology, Clinical Biochemistry and Infectious Diseases. According to data from OpenAlex, Rita De Rosa has authored 29 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 11 papers in Clinical Biochemistry and 9 papers in Infectious Diseases. Recurrent topics in Rita De Rosa's work include Bacterial Identification and Susceptibility Testing (11 papers), Urinary Tract Infections Management (5 papers) and COVID-19 Clinical Research Studies (3 papers). Rita De Rosa is often cited by papers focused on Bacterial Identification and Susceptibility Testing (11 papers), Urinary Tract Infections Management (5 papers) and COVID-19 Clinical Research Studies (3 papers). Rita De Rosa collaborates with scholars based in Italy, Portugal and Uruguay. Rita De Rosa's co-authors include Alessandro Camporese, Manuela Avolio, Giada Lorenzi, Massimo Crapis, Giancarlo Basaglia, Sergio Venturini, Franco Lumachi, Paola Martelli, Paola Della Siega and José Carlos Nicolau and has published in prestigious journals such as Clinica Chimica Acta, American Journal of Clinical Pathology and Shock.

In The Last Decade

Rita De Rosa

25 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Rita De Rosa 236 136 81 58 43 29 308
Julia Origüen 254 1.1× 48 0.4× 43 0.5× 152 2.6× 21 0.5× 18 344
Peder Bo Nielsen 182 0.8× 54 0.4× 16 0.2× 71 1.2× 15 0.3× 19 360
Paul Nieberg 175 0.7× 140 1.0× 35 0.4× 159 2.7× 22 0.5× 19 349
Jackson Gg 159 0.7× 26 0.2× 19 0.2× 92 1.6× 42 1.0× 28 345
Yidong Wu 131 0.6× 87 0.6× 21 0.3× 71 1.2× 53 1.2× 24 339
Christopher D. Doern 95 0.4× 56 0.4× 18 0.2× 90 1.6× 49 1.1× 22 322
David G. Beckwith 166 0.7× 68 0.5× 11 0.1× 36 0.6× 19 0.4× 19 277
Kenta Ito 130 0.6× 33 0.2× 17 0.2× 65 1.1× 35 0.8× 31 324
Élizabeth Tremblay 111 0.5× 41 0.3× 17 0.2× 136 2.3× 50 1.2× 19 300
Nisel Yılmaz 140 0.6× 28 0.2× 27 0.3× 105 1.8× 19 0.4× 41 300

Countries citing papers authored by Rita De Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Rita De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita De Rosa. 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 Rita De Rosa. The network helps show where Rita De Rosa may publish in the future.

Co-authorship network of co-authors of Rita De Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Rita De Rosa. A scholar is included among the top collaborators of Rita De Rosa 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 Rita De Rosa. Rita De Rosa 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