Sabrina Valente

45 total papers · 1.7k total citations
40 papers, 1.3k citations indexed

About

Sabrina Valente is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Sabrina Valente has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Sabrina Valente's work include Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Electrospun Nanofibers in Biomedical Applications (11 papers). Sabrina Valente is often cited by papers focused on Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Electrospun Nanofibers in Biomedical Applications (11 papers). Sabrina Valente collaborates with scholars based in Italy, United States and Brazil. Sabrina Valente's co-authors include Gianandrea Pasquinelli, Laura Foroni, Carlo Ventura, Franca Bianchi, Elena Olivi, Francesco Alviano, Catia Orrico, Carmen Ciavarella, Matthew A. Spinelli and Margherita Maioli and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Sabrina Valente

39 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Sabrina Valente 435 431 313 218 171 40 1.3k
Gabriel Malka 404 0.9× 469 1.1× 444 1.4× 158 0.7× 127 0.7× 34 1.5k
Nagwa El‐Badri 423 1.0× 434 1.0× 371 1.2× 188 0.9× 169 1.0× 68 1.4k
Serçin Karahüseyinoğlu 506 1.2× 421 1.0× 652 2.1× 197 0.9× 106 0.6× 33 1.5k
Lei Zhang 290 0.7× 272 0.6× 206 0.7× 212 1.0× 193 1.1× 72 1.5k
Wan Safwani Wan Kamarul Zaman 508 1.2× 428 1.0× 599 1.9× 227 1.0× 266 1.6× 59 1.3k
Ran Xiao 320 0.7× 287 0.7× 251 0.8× 165 0.8× 203 1.2× 56 1.2k
Yong‐Soo Choi 461 1.1× 607 1.4× 347 1.1× 120 0.6× 180 1.1× 73 1.6k
Changan Guo 444 1.0× 339 0.8× 157 0.5× 168 0.8× 192 1.1× 76 1.4k
Qi Yu 232 0.5× 458 1.1× 334 1.1× 150 0.7× 124 0.7× 38 1.6k
Corinne Scaletta 346 0.8× 446 1.0× 379 1.2× 118 0.5× 194 1.1× 75 1.6k

Countries citing papers authored by Sabrina Valente

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Valente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Valente

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