Raffaela Bressan

21 total papers · 501 total citations
11 papers, 411 citations indexed

About

Raffaela Bressan is a scholar working on Molecular Medicine, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Raffaela Bressan has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Medicine, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Raffaela Bressan's work include Antibiotic Resistance in Bacteria (8 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Raffaela Bressan is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Raffaela Bressan collaborates with scholars based in Italy, United Kingdom and Netherlands. Raffaela Bressan's co-authors include Lucilla Dolzani, Lenie Dijkshoorn, Danuta Stefanik, Harald Seifert, Herre Heersma, Tanny van der Reijden, Cristina Lagatolla, Marina Busetti, Anna Knezevich and Marco Scocchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Raffaela Bressan

11 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Raffaela Bressan 346 188 142 89 59 11 411
Fatma Onmus-Leone 348 1.0× 135 0.7× 132 0.9× 88 1.0× 69 1.2× 15 458
Jimena Alba 314 0.9× 157 0.8× 114 0.8× 105 1.2× 60 1.0× 17 405
Renaud Chollet 314 0.9× 131 0.7× 143 1.0× 109 1.2× 71 1.2× 16 485
Vincent Trebosc 306 0.9× 104 0.6× 183 1.3× 80 0.9× 60 1.0× 15 460
Claude Bosi 307 0.9× 169 0.9× 109 0.8× 75 0.8× 38 0.6× 8 446
Qi Yan 297 0.9× 173 0.9× 113 0.8× 63 0.7× 56 0.9× 16 450
Fani Markou 361 1.0× 179 1.0× 106 0.7× 71 0.8× 68 1.2× 16 454
Jeanette Pham 304 0.9× 145 0.8× 103 0.7× 71 0.8× 99 1.7× 9 466
Fernando Reyna-Flores 369 1.1× 172 0.9× 119 0.8× 84 0.9× 78 1.3× 22 454
Andrea Karina Merkier 363 1.0× 245 1.3× 147 1.0× 62 0.7× 85 1.4× 11 442

Countries citing papers authored by Raffaela Bressan

Since Specialization
Citations

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

Fields of papers citing papers by Raffaela Bressan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaela Bressan

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