Veronica Ferrari

77 total papers · 1.2k total citations
30 papers, 838 citations indexed

About

Veronica Ferrari is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Veronica Ferrari has authored 30 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Neurology and 10 papers in Cell Biology. Recurrent topics in Veronica Ferrari's work include Endoplasmic Reticulum Stress and Disease (10 papers), Amyotrophic Lateral Sclerosis Research (9 papers) and Autophagy in Disease and Therapy (8 papers). Veronica Ferrari is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (10 papers), Amyotrophic Lateral Sclerosis Research (9 papers) and Autophagy in Disease and Therapy (8 papers). Veronica Ferrari collaborates with scholars based in Italy and United States. Veronica Ferrari's co-authors include Riccardo Cristofani, P. Rusmini, B. Tedesco, Angelo Poletti, V. Crippa, M. Galbiati, Margherita Piccolella, Elio Messi, M.E. Cicardi and M. Meroni and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

Veronica Ferrari

28 papers receiving 834 citations

Hit Papers

Trehalose induces autopha... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Veronica Ferrari 384 283 245 201 133 30 838
M. Meroni 381 1.0× 312 1.1× 242 1.0× 221 1.1× 146 1.1× 14 776
B. Tedesco 474 1.2× 310 1.1× 240 1.0× 245 1.2× 153 1.2× 27 900
Sarah Opie-Martin 324 0.8× 92 0.3× 450 1.8× 109 0.5× 87 0.7× 26 775
Yasushi Takehisa 359 0.9× 152 0.5× 499 2.0× 64 0.3× 260 2.0× 35 1.0k
Susanne Gydesen 288 0.8× 133 0.5× 635 2.6× 156 0.8× 98 0.7× 17 983
Jill Roberts 230 0.6× 228 0.8× 115 0.5× 75 0.4× 91 0.7× 37 783
Tetsurou Ikeda 488 1.3× 187 0.7× 189 0.8× 138 0.7× 388 2.9× 21 1.0k
Stephen Mullin 272 0.7× 119 0.4× 561 2.3× 176 0.9× 218 1.6× 35 1.0k
Di Li 295 0.8× 183 0.6× 192 0.8× 76 0.4× 88 0.7× 31 755
Giovanni Meli 365 1.0× 92 0.3× 117 0.5× 76 0.4× 275 2.1× 24 901

Countries citing papers authored by Veronica Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica Ferrari. A scholar is included among the top collaborators of Veronica Ferrari 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 Ferrari. Veronica Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026