Elisabetta Degasperi

235 total papers · 2.4k total citations
82 papers, 1.1k citations indexed

About

Elisabetta Degasperi is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Elisabetta Degasperi has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Hepatology, 74 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Elisabetta Degasperi's work include Hepatitis C virus research (69 papers), Liver Disease Diagnosis and Treatment (63 papers) and Hepatitis B Virus Studies (38 papers). Elisabetta Degasperi is often cited by papers focused on Hepatitis C virus research (69 papers), Liver Disease Diagnosis and Treatment (63 papers) and Hepatitis B Virus Studies (38 papers). Elisabetta Degasperi collaborates with scholars based in Italy, United States and France. Elisabetta Degasperi's co-authors include Alessio Aghemo, Massimo Colombo, Pietro Lampertico, Roberta D’Ambrosio, R. Soffredini, Massimo Colombo, Marta Borghi, Riccardo Perbellini, Maria Grazia Rumi and Angelo Sangiovanni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Elisabetta Degasperi

76 papers receiving 1.1k 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 Degasperi 900 879 102 90 78 82 1.1k
Sara Cmet 665 0.7× 556 0.6× 95 0.9× 91 1.0× 71 0.9× 35 998
Christie Perelló 858 1.0× 905 1.0× 65 0.6× 66 0.7× 51 0.7× 33 1.1k
Daniel J. Felmlee 735 0.8× 819 0.9× 129 1.3× 87 1.0× 77 1.0× 34 1.0k
Miharu Hirakawa 921 1.0× 1.1k 1.2× 66 0.6× 74 0.8× 49 0.6× 42 1.2k
A. Picciotto 544 0.6× 535 0.6× 78 0.8× 53 0.6× 140 1.8× 85 970
Jiaji Jiang 954 1.1× 887 1.0× 151 1.5× 83 0.9× 97 1.2× 56 1.2k
Valeria Piazzolla 906 1.0× 859 1.0× 70 0.7× 121 1.3× 81 1.0× 43 1.1k
Naohide Tanaka 669 0.7× 784 0.9× 84 0.8× 88 1.0× 68 0.9× 73 1.2k
Stephen Pianko 850 0.9× 866 1.0× 108 1.1× 92 1.0× 92 1.2× 34 1.1k
Rafael Quadri 955 1.1× 901 1.0× 191 1.9× 79 0.9× 172 2.2× 35 1.5k

Countries citing papers authored by Elisabetta Degasperi

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Degasperi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Degasperi

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