Benedetta Mazzanti

131 total papers · 3.2k total citations
72 papers, 2.4k citations indexed

About

Benedetta Mazzanti is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Benedetta Mazzanti has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Surgery and 16 papers in Immunology. Recurrent topics in Benedetta Mazzanti's work include Mesenchymal stem cell research (14 papers), Immunotherapy and Immune Responses (11 papers) and Tissue Engineering and Regenerative Medicine (10 papers). Benedetta Mazzanti is often cited by papers focused on Mesenchymal stem cell research (14 papers), Immunotherapy and Immune Responses (11 papers) and Tissue Engineering and Regenerative Medicine (10 papers). Benedetta Mazzanti collaborates with scholars based in Italy, United States and Germany. Benedetta Mazzanti's co-authors include Riccardo Saccardi, Luca Massacesi, Clara Ballerini, Margherita Boieri, Silvia Baiguera, Costantino Del Gaudio, Paolo Macchiarini, Alberto Bosi, Alessandra Bianco and Serena Urbani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Annals of Internal Medicine.

In The Last Decade

Benedetta Mazzanti

72 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Benedetta Mazzanti 856 617 592 293 287 72 2.4k
Gallia Graiani 1.1k 1.3× 543 0.9× 466 0.8× 203 0.7× 260 0.9× 60 2.8k
Anto De Pol 1.3k 1.5× 570 0.9× 669 1.1× 220 0.8× 171 0.6× 90 2.8k
Guangqian Zhou 985 1.2× 666 1.1× 756 1.3× 159 0.5× 295 1.0× 100 2.9k
Anna Spagnoli 998 1.2× 680 1.1× 661 1.1× 145 0.5× 148 0.5× 73 2.8k
Norbert Schütze 1.1k 1.2× 609 1.0× 439 0.7× 174 0.6× 220 0.8× 77 2.8k
Lia Pulsatelli 472 0.6× 607 1.0× 486 0.8× 465 1.6× 195 0.7× 80 3.2k
Zhikun Guo 1.2k 1.4× 508 0.8× 380 0.6× 245 0.8× 298 1.0× 71 2.3k
Youngsook Son 671 0.8× 410 0.7× 428 0.7× 261 0.9× 281 1.0× 122 2.4k
Sung Keun Kang 931 1.1× 579 0.9× 1.1k 1.8× 259 0.9× 171 0.6× 66 3.0k
Marina Gazdic 985 1.2× 522 0.8× 931 1.6× 334 1.1× 145 0.5× 44 2.5k

Countries citing papers authored by Benedetta Mazzanti

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Mazzanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedetta Mazzanti

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