Gianluca Vrenna

43 total papers · 600 total citations
29 papers, 405 citations indexed

About

Gianluca Vrenna is a scholar working on Molecular Biology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Gianluca Vrenna has authored 29 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Molecular Medicine and 6 papers in Infectious Diseases. Recurrent topics in Gianluca Vrenna's work include Bacterial biofilms and quorum sensing (19 papers), Antibiotic Resistance in Bacteria (10 papers) and Cystic Fibrosis Research Advances (6 papers). Gianluca Vrenna is often cited by papers focused on Bacterial biofilms and quorum sensing (19 papers), Antibiotic Resistance in Bacteria (10 papers) and Cystic Fibrosis Research Advances (6 papers). Gianluca Vrenna collaborates with scholars based in Italy, Montenegro and United States. Gianluca Vrenna's co-authors include Laura Selan, Rosanna Papa, Marco Artini, Rino Ragno, Stefanıa Garzoli, Alexandros Patsilinakos, Manuela Sabatino, Marco Tilotta, Mijat Božović and Michela Relucenti and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Gianluca Vrenna

24 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Gianluca Vrenna 249 132 58 51 48 29 405
Pitchaipillai Sankar Ganesh 220 0.9× 91 0.7× 64 1.1× 66 1.3× 35 0.7× 50 484
Felipe Alves de Almeida 282 1.1× 151 1.1× 48 0.8× 60 1.2× 22 0.5× 28 444
Huaizhi Luo 263 1.1× 47 0.4× 58 1.0× 37 0.7× 41 0.9× 20 374
Kitlangki Suchiang 251 1.0× 98 0.7× 103 1.8× 50 1.0× 21 0.4× 21 423
Rajesh P. Shastry 184 0.7× 67 0.5× 57 1.0× 53 1.0× 20 0.4× 43 376
Subhaswaraj Pattnaik 207 0.8× 72 0.5× 49 0.8× 83 1.6× 30 0.6× 32 458
Malabika Banerjee 214 0.9× 71 0.5× 56 1.0× 62 1.2× 29 0.6× 15 445
Katarzyna Jermakow 230 0.9× 69 0.5× 47 0.8× 30 0.6× 36 0.8× 16 403
Deepmala Sharma 229 0.9× 85 0.6× 77 1.3× 25 0.5× 17 0.4× 25 448
Tangjuan Liu 294 1.2× 72 0.5× 101 1.7× 47 0.9× 45 0.9× 13 454

Countries citing papers authored by Gianluca Vrenna

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Vrenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Vrenna

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