Francesca Malerba

44 total papers · 836 total citations
31 papers, 595 citations indexed

About

Francesca Malerba is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Francesca Malerba has authored 31 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Francesca Malerba's work include Nerve injury and regeneration (19 papers), Neuropeptides and Animal Physiology (7 papers) and Alzheimer's disease research and treatments (7 papers). Francesca Malerba is often cited by papers focused on Nerve injury and regeneration (19 papers), Neuropeptides and Animal Physiology (7 papers) and Alzheimer's disease research and treatments (7 papers). Francesca Malerba collaborates with scholars based in Italy, Germany and United Kingdom. Francesca Malerba's co-authors include Antonino Cattaneo, Francesca Paoletti, Simona Capsoni, Doriano Lamba, Alessandro Viegi, Giovanni Meli, Ivan Arisi, Domenico Vignone, Bruno Bruni Ercole and Rossella Brandi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Francesca Malerba

31 papers receiving 588 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Malerba 307 224 169 86 85 31 595
Gianina Teribele Venturin 113 0.4× 179 0.8× 94 0.6× 70 0.8× 91 1.1× 44 578
Qinghu Yang 149 0.5× 201 0.9× 154 0.9× 46 0.5× 100 1.2× 28 603
Miwako Katagi 114 0.4× 178 0.8× 142 0.8× 62 0.7× 164 1.9× 28 652
Nathalie Van Acker 195 0.6× 188 0.8× 298 1.8× 23 0.3× 85 1.0× 28 655
Gemma Manich 133 0.4× 225 1.0× 242 1.4× 72 0.8× 263 3.1× 25 680
Dayu Sun 112 0.4× 255 1.1× 94 0.6× 112 1.3× 124 1.5× 29 608
Vandana Singh 222 0.7× 142 0.6× 142 0.8× 46 0.5× 27 0.3× 21 632
Andreas von Ameln-Mayerhofer 268 0.9× 211 0.9× 35 0.2× 166 1.9× 96 1.1× 15 663
Tania Scartabelli 197 0.6× 226 1.0× 151 0.9× 52 0.6× 93 1.1× 18 524
Bijorn Omar Balzamino 161 0.5× 231 1.0× 102 0.6× 55 0.6× 58 0.7× 35 606

Countries citing papers authored by Francesca Malerba

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Malerba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Malerba

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