Silvia Truffa

28 total papers · 1.5k total citations
15 papers, 1.1k citations indexed

About

Silvia Truffa is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Silvia Truffa has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Silvia Truffa's work include Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Peptidase Inhibition and Analysis (2 papers). Silvia Truffa is often cited by papers focused on Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Peptidase Inhibition and Analysis (2 papers). Silvia Truffa collaborates with scholars based in Italy, United States and Canada. Silvia Truffa's co-authors include Maurizio C. Capogrossi, Maurizio Pesce, Monica Napolitano, Daniele Porcelli, Paolo Biglioli, Stefania Straino, Anna Rita Torella, Maria Grazia Iachininoto, Elena De Falco and Alessia Orlandi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Silvia Truffa

15 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
Silvia Truffa 710 272 226 182 170 15 1.1k
Atsuhiko Oikawa 580 0.8× 157 0.6× 239 1.1× 140 0.8× 184 1.1× 22 1.1k
Chad L. Barber 878 1.2× 204 0.8× 150 0.7× 274 1.5× 126 0.7× 11 1.4k
Peter C. Stapor 633 0.9× 180 0.7× 164 0.7× 238 1.3× 209 1.2× 18 1.2k
Choon-Soo Lee 944 1.3× 193 0.7× 256 1.1× 174 1.0× 247 1.5× 16 1.3k
Brian J. Snow 825 1.2× 302 1.1× 295 1.3× 187 1.0× 57 0.3× 13 1.3k
Kengo Kusano 901 1.3× 289 1.1× 351 1.6× 185 1.0× 381 2.2× 14 1.4k
Marko Hyytiäinen 822 1.2× 271 1.0× 109 0.5× 295 1.6× 116 0.7× 27 1.5k
Anne-Marie Byrne 596 0.8× 297 1.1× 160 0.7× 200 1.1× 69 0.4× 16 1.2k
Gladys S. Ingle 509 0.7× 202 0.7× 147 0.7× 155 0.9× 78 0.5× 16 1.2k
D. Feng 819 1.2× 277 1.0× 142 0.6× 345 1.9× 179 1.1× 10 1.3k

Countries citing papers authored by Silvia Truffa

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Truffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Truffa

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