Silvia Gaia

138 total papers · 2.2k total citations
60 papers, 1.1k citations indexed

About

Silvia Gaia is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Silvia Gaia has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hepatology, 35 papers in Epidemiology and 17 papers in Surgery. Recurrent topics in Silvia Gaia's work include Liver Disease Diagnosis and Treatment (28 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers) and Hepatitis C virus research (15 papers). Silvia Gaia is often cited by papers focused on Liver Disease Diagnosis and Treatment (28 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers) and Hepatitis C virus research (15 papers). Silvia Gaia collaborates with scholars based in Italy, United States and Germany. Silvia Gaia's co-authors include Mario Rizzetto, Alfredo Marzano, Antonina Smedile, S. Carenzi, Maria Lorena Abate, F. Brunello, Elisabetta Bugianesi, Antonella Olivero, Angela Luciana Barilli and Carlo Alessandria and has published in prestigious journals such as Journal of Hepatology, Alimentary Pharmacology & Therapeutics and Cancers.

In The Last Decade

Silvia Gaia

57 papers receiving 1.0k 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 Gaia 778 737 275 122 94 60 1.1k
Xavier Adhoute 783 1.0× 748 1.0× 198 0.7× 187 1.5× 127 1.4× 52 1.2k
Takeaki Suou 832 1.1× 710 1.0× 214 0.8× 173 1.4× 97 1.0× 70 1.3k
Spyridon P. Dourakis 635 0.8× 426 0.6× 190 0.7× 123 1.0× 156 1.7× 60 1.1k
Shintaro Takaki 952 1.2× 599 0.8× 349 1.3× 156 1.3× 130 1.4× 77 1.2k
Yohei Koizumi 881 1.1× 890 1.2× 280 1.0× 155 1.3× 117 1.2× 93 1.3k
Reena Salgia 816 1.0× 668 0.9× 285 1.0× 121 1.0× 158 1.7× 49 1.2k
Koichi Takaguchi 934 1.2× 782 1.1× 145 0.5× 85 0.7× 134 1.4× 58 1.1k
E. Minóla 757 1.0× 600 0.8× 303 1.1× 160 1.3× 53 0.6× 43 1.1k
Minneke J. Coenraad 873 1.1× 815 1.1× 468 1.7× 78 0.6× 192 2.0× 77 1.4k
Makoto Tanikawa 983 1.3× 938 1.3× 228 0.8× 180 1.5× 95 1.0× 69 1.4k

Countries citing papers authored by Silvia Gaia

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Gaia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Gaia

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Gaia. A scholar is included among the top collaborators of Silvia Gaia 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 Gaia. Silvia Gaia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026