Silvia Salerno

127 total papers · 3.3k total citations
81 papers, 2.7k citations indexed

About

Silvia Salerno is a scholar working on Molecular Biology, Organic Chemistry and Cognitive Neuroscience. According to data from OpenAlex, Silvia Salerno has authored 81 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 38 papers in Organic Chemistry and 13 papers in Cognitive Neuroscience. Recurrent topics in Silvia Salerno's work include Cancer therapeutics and mechanisms (16 papers), Synthesis and biological activity (15 papers) and Bioactive Compounds and Antitumor Agents (10 papers). Silvia Salerno is often cited by papers focused on Cancer therapeutics and mechanisms (16 papers), Synthesis and biological activity (15 papers) and Bioactive Compounds and Antitumor Agents (10 papers). Silvia Salerno collaborates with scholars based in Italy, United States and France. Silvia Salerno's co-authors include Federico Da Settimo, Giacomo Koch, Massimiliano Oliveri, Carlo Caltagirone, Sabrina Taliani, Anna María Marini, Sara Torriero, Emanuele Lo Gerfo, Concettina La Motta and Francesca Simorini and has published in prestigious journals such as NeuroImage, Brain and Journal of Medicinal Chemistry.

In The Last Decade

Silvia Salerno

80 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Salerno 826 814 803 497 222 81 2.7k
Kenneth S. Koblan 1.9k 2.3× 341 0.4× 364 0.5× 59 0.1× 223 1.0× 127 3.9k
Norman R. Simpson 733 0.9× 175 0.2× 760 0.9× 84 0.2× 743 3.3× 72 3.6k
Edilio Borroni 1.5k 1.9× 277 0.3× 800 1.0× 250 0.5× 466 2.1× 91 4.2k
Rosa Maria Moresco 1.1k 1.3× 114 0.1× 424 0.5× 448 0.9× 194 0.9× 120 3.4k
Gilles Tamagnan 1.9k 2.3× 548 0.7× 378 0.5× 211 0.4× 492 2.2× 150 4.1k
Neil Upton 1.3k 1.5× 308 0.4× 1.2k 1.5× 268 0.5× 482 2.2× 83 3.9k
James B. Brewer 483 0.6× 60 0.1× 1.4k 1.7× 340 0.7× 174 0.8× 54 3.3k
Katarina Varnäs 700 0.8× 105 0.1× 495 0.6× 194 0.4× 287 1.3× 79 2.8k
Dietrich van Calker 1.6k 1.9× 128 0.2× 456 0.6× 823 1.7× 477 2.1× 90 4.9k
Pierre Lestage 1.2k 1.4× 522 0.6× 254 0.3× 110 0.2× 288 1.3× 64 2.2k

Countries citing papers authored by Silvia Salerno

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Salerno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Salerno

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