Arianna Venturini

43 total papers · 851 total citations
20 papers, 667 citations indexed

About

Arianna Venturini is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Arianna Venturini has authored 20 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Arianna Venturini's work include Cystic Fibrosis Research Advances (8 papers), Neonatal Respiratory Health Research (4 papers) and Receptor Mechanisms and Signaling (3 papers). Arianna Venturini is often cited by papers focused on Cystic Fibrosis Research Advances (8 papers), Neonatal Respiratory Health Research (4 papers) and Receptor Mechanisms and Signaling (3 papers). Arianna Venturini collaborates with scholars based in Italy, Sweden and United States. Arianna Venturini's co-authors include Luis J. V. Galietta, Chiara Cervetto, Guido Maura, Manuela Marcoli, Paolo Scudieri, Mario Passalacqua, Luigi F. Agnati, Emanuela Caci, Diego Guidolin and Ilaria Musante and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Arianna Venturini

19 papers receiving 664 citations

Author Peers

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

Author						Papers	Cites
Arianna Venturini	370	193	167	103	58	20	667
Charlotte Youngson	372 1.0×	190 1.0×	164 1.0×	186 1.8×	25 0.4×	10	761
Paul Olivier	201 0.5×	192 1.0×	68 0.4×	72 0.7×	15 0.3×	22	792
Amy J. Pace	467 1.3×	83 0.4×	141 0.8×	89 0.9×	11 0.2×	15	739
Georgia Minakaki	259 0.7×	69 0.4×	188 1.1×	201 2.0×	28 0.5×	13	704
Ka Ka Ting	280 0.8×	55 0.3×	126 0.8×	104 1.0×	12 0.2×	20	758
Oleksandr V. Povstyan	368 1.0×	94 0.5×	99 0.6×	217 2.1×	78 1.3×	26	667
Zivotije Radisavljevic	227 0.6×	65 0.3×	182 1.1×	85 0.8×	8 0.1×	13	576
Hugh Nuthall	511 1.4×	196 1.0×	80 0.5×	79 0.8×	22 0.4×	29	765
Miguel Martin‐Caraballo	367 1.0×	109 0.6×	198 1.2×	48 0.5×	20 0.3×	34	668
Prasad Konkalmatt	395 1.1×	37 0.2×	172 1.0×	81 0.8×	16 0.3×	33	764

Countries citing papers authored by Arianna Venturini

Since Specialization

Citations

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

Fields of papers citing papers by Arianna Venturini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arianna Venturini

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