Elisabetta Fontanini

45 total papers · 1.0k total citations
28 papers, 833 citations indexed

About

Elisabetta Fontanini is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Elisabetta Fontanini has authored 28 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Hepatology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Elisabetta Fontanini's work include Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (15 papers) and Hepatitis B Virus Studies (9 papers). Elisabetta Fontanini is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (15 papers) and Hepatitis B Virus Studies (9 papers). Elisabetta Fontanini collaborates with scholars based in Italy, France and United States. Elisabetta Fontanini's co-authors include Mario Pirisi, Edmondo Falleti, Davide Bitetto, Pierluigi Toniutto, Carlo Fabris, Annarosa Cussigh, Ezio Fornasiere, Elisa Fumolo, Sara Cmet and S. Bignulin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and Transplantation.

In The Last Decade

Elisabetta Fontanini

25 papers receiving 818 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 Fontanini 551 448 184 100 85 28 833
Elisa Fumolo 479 0.9× 414 0.9× 165 0.9× 78 0.8× 61 0.7× 25 748
Sara Cmet 665 1.2× 556 1.2× 239 1.3× 86 0.9× 61 0.7× 35 998
R M Galbraith 565 1.0× 487 1.1× 136 0.7× 64 0.6× 69 0.8× 24 985
Akihiko Ohno 290 0.5× 548 1.2× 97 0.5× 94 0.9× 96 1.1× 41 963
J.C. Trinchet 716 1.3× 698 1.6× 77 0.4× 123 1.2× 49 0.6× 26 1.0k
Jorge L. González-Calvin 382 0.7× 181 0.4× 121 0.7× 53 0.5× 157 1.8× 22 810
P M Smith 274 0.5× 294 0.7× 110 0.6× 98 1.0× 79 0.9× 36 925
M. G. M. Smith 549 1.0× 606 1.4× 72 0.4× 103 1.0× 55 0.6× 20 1.0k
Qing Liu 548 1.0× 336 0.8× 60 0.3× 39 0.4× 137 1.6× 36 867
Christian J. Steib 367 0.7× 375 0.8× 64 0.3× 38 0.4× 83 1.0× 43 865

Countries citing papers authored by Elisabetta Fontanini

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Fontanini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Fontanini

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