Gabriele Storti

35 total papers · 824 total citations
24 papers, 572 citations indexed

About

Gabriele Storti is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Gabriele Storti has authored 24 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Gabriele Storti's work include Mesenchymal stem cell research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Gabriele Storti is often cited by papers focused on Mesenchymal stem cell research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Gabriele Storti collaborates with scholars based in Italy, Switzerland and Germany. Gabriele Storti's co-authors include Maria Giovanna Scioli, Augusto Orlandi, Valerio Cervelli, Federico D’Amico, Bong‐Sung Kim, Federica Centofanti, Elena Doldo, Pietro Gentile, Giulia Fabbri and Tim Ruhl and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Journal of Cellular Physiology.

In The Last Decade

Gabriele Storti

21 papers receiving 567 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriele Storti 226 110 107 104 76 24 572
Ester M. Weijers 214 0.9× 104 0.9× 75 0.7× 74 0.7× 64 0.8× 24 535
Stephen Seedial 217 1.0× 85 0.8× 107 1.0× 156 1.5× 52 0.7× 18 683
Yonghong Lei 300 1.3× 159 1.4× 133 1.2× 140 1.3× 66 0.9× 39 667
Yangguang Yin 293 1.3× 79 0.7× 56 0.5× 108 1.0× 53 0.7× 20 546
Nina Zippel 257 1.1× 113 1.0× 78 0.7× 89 0.9× 52 0.7× 18 498
Jinglian Yan 324 1.4× 79 0.7× 134 1.3× 170 1.6× 136 1.8× 18 694
Yiqing Mao 239 1.1× 107 1.0× 43 0.4× 91 0.9× 88 1.2× 29 552
Moon Hwa Hong 279 1.2× 87 0.8× 85 0.8× 150 1.4× 104 1.4× 22 659
Chiakang Ho 241 1.1× 110 1.0× 39 0.4× 55 0.5× 72 0.9× 24 588
Steven A. Bloomer 193 0.9× 45 0.4× 80 0.7× 104 1.0× 49 0.6× 22 628

Countries citing papers authored by Gabriele Storti

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Storti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Storti

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