Veronica Gatti

22 total papers · 660 total citations
17 papers, 463 citations indexed

About

Veronica Gatti is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Veronica Gatti has authored 17 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Veronica Gatti's work include Cancer-related Molecular Pathways (8 papers), Ubiquitin and proteasome pathways (4 papers) and DNA Repair Mechanisms (4 papers). Veronica Gatti is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Ubiquitin and proteasome pathways (4 papers) and DNA Repair Mechanisms (4 papers). Veronica Gatti collaborates with scholars based in Italy, United Kingdom and United States. Veronica Gatti's co-authors include Angelo Peschiaroli, Gerry Melino, Silvia Soddu, Margherita Annicchiarico‐Petruzzelli, Lucilla Bongiorno‐Borbone, Andrea Prodosmo, Marco Crescenzi, Maria Pia Gentileschi, Maria Saveria Gilardini Montani and Francesca Siepi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Veronica Gatti

16 papers receiving 460 citations

Author Peers

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

Author Last Decade Papers Cites
Veronica Gatti 366 216 88 56 45 17 463
Ann Christin Parplys 341 0.9× 167 0.8× 81 0.9× 30 0.5× 59 1.3× 18 426
Shaofang Wu 333 0.9× 175 0.8× 97 1.1× 41 0.7× 24 0.5× 21 454
Vignesh Sundararajan 350 1.0× 197 0.9× 155 1.8× 63 1.1× 44 1.0× 17 506
Sue J. Hong 299 0.8× 177 0.8× 82 0.9× 57 1.0× 56 1.2× 10 465
Ana Belén Martínez‐Cruz 399 1.1× 195 0.9× 129 1.5× 60 1.1× 34 0.8× 15 520
Kenji Shimizu 412 1.1× 129 0.6× 91 1.0× 41 0.7× 102 2.3× 12 523
Bercin Kutluk Cenik 359 1.0× 92 0.4× 70 0.8× 91 1.6× 39 0.9× 12 486
Francesco Bonetto 252 0.7× 205 0.9× 52 0.6× 30 0.5× 44 1.0× 14 426
Andrea K. Byrum 425 1.2× 190 0.9× 71 0.8× 42 0.8× 58 1.3× 11 506
Glen A. Bjerke 393 1.1× 98 0.5× 108 1.2× 47 0.8× 27 0.6× 14 484

Countries citing papers authored by Veronica Gatti

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Gatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Gatti

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