Benedetta Cabiati

440 total citations
3 papers, 37 citations indexed

About

Benedetta Cabiati is a scholar working on Biomedical Engineering, Surgery and Genetics. According to data from OpenAlex, Benedetta Cabiati has authored 3 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biomedical Engineering, 1 paper in Surgery and 1 paper in Genetics. Recurrent topics in Benedetta Cabiati's work include 3D Printing in Biomedical Research (2 papers), Neonatal Respiratory Health Research (1 paper) and Virus-based gene therapy research (1 paper). Benedetta Cabiati is often cited by papers focused on 3D Printing in Biomedical Research (2 papers), Neonatal Respiratory Health Research (1 paper) and Virus-based gene therapy research (1 paper). Benedetta Cabiati collaborates with scholars based in Italy. Benedetta Cabiati's co-authors include Daniela Belotti, Chiara Capelli, Martino Introna, Josée Golay, Andrea Biondi, Ettore Biagi, Giuseppe Gaipa, Elisa Gambini, Norberto Perico and Sara Nava and has published in prestigious journals such as BioMed Research International and Cytotherapy.

In The Last Decade

Benedetta Cabiati

3 papers receiving 37 citations

Peers

Benedetta Cabiati
Kunal Sukhija United States
Yunxin J. Jiao United States
Mario Loehr Germany
Clare Devlin United States
Cristina Trento United Kingdom
Benedetta Cabiati
Citations per year, relative to Benedetta Cabiati Benedetta Cabiati (= 1×) peers Isabel Bogalho

Countries citing papers authored by Benedetta Cabiati

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Cabiati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedetta Cabiati

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

All Works

3 of 3 papers shown
1.
Capelli, Chiara, Simona Frigerio, Daniela Lisini, et al.. (2022). A comprehensive report of long-term stability data for a range ATMPs: A need to develop guidelines for safe and harmonized stability studies. Cytotherapy. 24(5). 544–556. 9 indexed citations
2.
Belotti, Daniela, Giuseppe Gaipa, Beatrice Bassetti, et al.. (2015). Full GMP-Compliant Validation of Bone Marrow-Derived Human CD133+Cells as Advanced Therapy Medicinal Product for Refractory Ischemic Cardiomyopathy. BioMed Research International. 2015. 1–10. 7 indexed citations
3.
Capelli, Chiara, Agnese Salvadè, Olga Pedrini, et al.. (2009). The washouts of discarded bone marrow collection bags and filters are a very abundant source of hMSCs. Cytotherapy. 11(4). 403–413. 21 indexed citations

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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