Elisabetta Sporeno

20 total papers · 954 total citations
18 papers, 780 citations indexed

About

Elisabetta Sporeno is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Elisabetta Sporeno has authored 18 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Genetics. Recurrent topics in Elisabetta Sporeno's work include Virus-based gene therapy research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Elisabetta Sporeno is often cited by papers focused on Virus-based gene therapy research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Elisabetta Sporeno collaborates with scholars based in Italy, United States and Germany. Elisabetta Sporeno's co-authors include Carlo Toniatti, Gennaro Ciliberto, Armin Lahm, Giacomo Paonessa, Rocco Savino, Elena Fattori, Stefano Colloca, Alfredo Nicosia, Riccardo Cortese and Stefania Lamartina and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The EMBO Journal.

In The Last Decade

Elisabetta Sporeno

18 papers receiving 740 citations

Author Peers

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

Author Last Decade Papers Cites
Elisabetta Sporeno 340 226 224 223 189 18 780
Bruno Dumont 375 1.1× 134 0.6× 230 1.0× 131 0.6× 115 0.6× 20 831
Joris Braspenning 237 0.7× 128 0.6× 305 1.4× 167 0.7× 122 0.6× 21 839
Laura Arribillaga 160 0.5× 175 0.8× 188 0.8× 204 0.9× 64 0.3× 22 814
Lyna Zhang 241 0.7× 96 0.4× 275 1.2× 293 1.3× 96 0.5× 17 904
Gerald P. Donovan 322 0.9× 115 0.5× 197 0.9× 172 0.8× 87 0.5× 18 889
Cheng‐Po Hu 284 0.8× 183 0.8× 217 1.0× 149 0.7× 64 0.3× 27 698
P. W. Tuke 241 0.7× 76 0.3× 237 1.1× 144 0.6× 79 0.4× 15 815
Lazaro Lorenzo 397 1.2× 47 0.2× 235 1.0× 128 0.6× 120 0.6× 29 884
Fouzia Amirache 370 1.1× 225 1.0× 253 1.1× 155 0.7× 364 1.9× 15 714
Anne-Catherine Fluckiger 216 0.6× 73 0.3× 167 0.7× 78 0.3× 74 0.4× 11 814

Countries citing papers authored by Elisabetta Sporeno

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Sporeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Sporeno

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