Alberto Venuti

19 total papers · 990 total citations
14 papers, 738 citations indexed

About

Alberto Venuti is a scholar working on Pharmacology, Immunology and Allergy and Dermatology. According to data from OpenAlex, Alberto Venuti has authored 14 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Immunology and Allergy and 5 papers in Dermatology. Recurrent topics in Alberto Venuti's work include Drug-Induced Adverse Reactions (9 papers), Contact Dermatitis and Allergies (5 papers) and Allergic Rhinitis and Sensitization (5 papers). Alberto Venuti is often cited by papers focused on Drug-Induced Adverse Reactions (9 papers), Contact Dermatitis and Allergies (5 papers) and Allergic Rhinitis and Sensitization (5 papers). Alberto Venuti collaborates with scholars based in Italy and United States. Alberto Venuti's co-authors include Antonino Romano, M. Di Fonso, Maria Cristina Artesani, Giuseppe Papa, Marinella Viola, Donato Quaratino, Marı́a José Torres, Cristobalina Mayorga, Antonio Gasbarrini and Giuseppe Francesco Sferrazza Papa and has published in prestigious journals such as The Science of The Total Environment, Journal of Allergy and Clinical Immunology and International Archives of Allergy and Immunology.

In The Last Decade

Alberto Venuti

14 papers receiving 699 citations

Author Peers

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

Author Last Decade Papers Cites
Alberto Venuti 479 392 309 156 138 14 738
Marinella Viola 646 1.3× 431 1.1× 376 1.2× 112 0.7× 181 1.3× 20 877
F. Gómez 437 0.9× 511 1.3× 331 1.1× 237 1.5× 149 1.1× 22 876
Gabriele Cortellini 397 0.8× 286 0.7× 150 0.5× 238 1.5× 170 1.2× 30 710
Carlos Juárez 669 1.4× 230 0.6× 349 1.1× 122 0.8× 269 1.9× 13 800
Jean Christoph Caubet 318 0.7× 423 1.1× 167 0.5× 140 0.9× 79 0.6× 9 669
Tiziana De Pasquale 152 0.3× 406 1.0× 232 0.8× 144 0.9× 82 0.6× 37 699
Jan Walter Schroeder 168 0.4× 360 0.9× 210 0.7× 252 1.6× 108 0.8× 33 726
D. Messaad 527 1.1× 241 0.6× 213 0.7× 150 1.0× 143 1.0× 24 630
Maria Cristina Artesani 238 0.5× 555 1.4× 277 0.9× 171 1.1× 83 0.6× 32 797
E. Pérez 532 1.1× 263 0.7× 229 0.7× 118 0.8× 162 1.2× 13 626

Countries citing papers authored by Alberto Venuti

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Venuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Venuti

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