Erica Scappini

41 total papers · 830 total citations
30 papers, 613 citations indexed

About

Erica Scappini is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Erica Scappini has authored 30 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Erica Scappini's work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (3 papers) and Ion Channels and Receptors (3 papers). Erica Scappini is often cited by papers focused on Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (3 papers) and Ion Channels and Receptors (3 papers). Erica Scappini collaborates with scholars based in United States, United Kingdom and Russia. Erica Scappini's co-authors include Negin P. Martin, John P. O’Bryan, David L. Armstrong, Sara Dunn, Lars C. Pedersen, Hemayet Ullah, A.F. Moon, Saverio Gentile, Jason G. Williams and Christian Erxleben and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Erica Scappini

28 papers receiving 610 citations

Author Peers

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

Author Last Decade Papers Cites
Erica Scappini 376 128 82 79 57 30 613
Michiko Takeda 399 1.1× 212 1.7× 102 1.2× 75 0.9× 54 0.9× 23 605
Thierry Métayé 352 0.9× 80 0.6× 118 1.4× 37 0.5× 57 1.0× 22 617
Youli Hu 328 0.9× 80 0.6× 54 0.7× 156 2.0× 90 1.6× 29 639
Chang‐Dae Bae 393 1.0× 199 1.6× 122 1.5× 42 0.5× 18 0.3× 39 612
Milene Kong 291 0.8× 68 0.5× 47 0.6× 116 1.5× 23 0.4× 24 659
Séverine Leclerc 349 0.9× 87 0.7× 79 1.0× 63 0.8× 14 0.2× 21 639
Helen Waller‐Evans 255 0.7× 77 0.6× 111 1.4× 38 0.5× 27 0.5× 17 511
Katrin A. Mooslehner 297 0.8× 35 0.3× 148 1.8× 120 1.5× 25 0.4× 15 521
Valérie Pouillon 397 1.1× 130 1.0× 38 0.5× 51 0.6× 19 0.3× 18 627
J L Pasteels 260 0.7× 59 0.5× 158 1.9× 56 0.7× 112 2.0× 31 602

Countries citing papers authored by Erica Scappini

Since Specialization
Citations

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

Fields of papers citing papers by Erica Scappini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erica Scappini

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