Sara Benedetti

1.5k total citations
25 papers, 639 citations indexed

About

Sara Benedetti is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Sara Benedetti has authored 25 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Surgery and 5 papers in Genetics. Recurrent topics in Sara Benedetti's work include Tissue Engineering and Regenerative Medicine (9 papers), Muscle Physiology and Disorders (8 papers) and Pluripotent Stem Cells Research (6 papers). Sara Benedetti is often cited by papers focused on Tissue Engineering and Regenerative Medicine (9 papers), Muscle Physiology and Disorders (8 papers) and Pluripotent Stem Cells Research (6 papers). Sara Benedetti collaborates with scholars based in United Kingdom, Italy and France. Sara Benedetti's co-authors include Francesco Saverio Tedesco, Giulio Cossu, Hidetoshi Hoshiya, Graziella Messina, M Gerli, Stefania Antonini, Rossana Tonlorenzi, Roberto Bottinelli, Martina Ragazzi and Sara M. Maffioletti and has published in prestigious journals such as Nature Communications, Circulation Research and Scientific Reports.

In The Last Decade

Sara Benedetti

23 papers receiving 634 citations

Peers

Sara Benedetti
Marina V. Pryzhkova United States
Jan W. Buikema Netherlands
Courtney S. Young United States
Denise Juhr United States
Joseph M. Feduska United States
Sara Benedetti
Citations per year, relative to Sara Benedetti Sara Benedetti (= 1×) peers Jenny C. Y. Ho

Countries citing papers authored by Sara Benedetti

Since Specialization
Citations

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

Fields of papers citing papers by Sara Benedetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Benedetti

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

All Works

20 of 20 papers shown
1.
Peretto, Giovanni, Giacomo De Luca, Andrea Villatore, et al.. (2023). Multimodal Detection and Targeting of Biopsy-Proven Myocardial Inflammation in Genetic Cardiomyopathies. JACC Basic to Translational Science. 8(7). 755–765. 10 indexed citations
2.
Gidari, Anna, et al.. (2023). Bictegravir/Tenofovir Alafenamide/Emtricitabine: A Real-Life Experience in People Living with HIV (PLWH). Infectious Disease Reports. 15(6). 766–777.
3.
Gaspar, H. Bobby, et al.. (2022). Targeting the central nervous system in lysosomal storage diseases: Strategies to deliver therapeutics across the blood-brain barrier. Molecular Therapy. 31(3). 657–675. 11 indexed citations
4.
Ferrari, Giuliana, Louise A. Moyle, Naïra Naouar, et al.. (2022). Assessing and enhancing migration of human myogenic progenitors using directed iPS cell differentiation and advanced tissue modelling. EMBO Molecular Medicine. 14(10). e14526–e14526. 9 indexed citations
5.
Vetharoy, Winston, Uimook Choi, Christine Rivat, et al.. (2021). Preclinical Optimization and Safety Studies of a New Lentiviral Gene Therapy for p47 phox -Deficient Chronic Granulomatous Disease. Human Gene Therapy. 32(17-18). 949–958. 4 indexed citations
6.
Socio, Giuseppe Vittorio De, Lisa Malincarne, Saverio Arena, et al.. (2020). Delivery in asymptomatic Italian woman with SARS-CoV-2 infection.. Mediterranean Journal of Hematology and Infectious Diseases. 12(1). e2020033–e2020033. 17 indexed citations
7.
Cesari, Paola, et al.. (2020). Hypnosis-induced modulation of corticospinal excitability during motor imagery. Scientific Reports. 10(1). 16882–16882. 7 indexed citations
8.
Stuckey, Daniel J., Derek Burke, Helen Prunty, et al.. (2020). Lentiviral Hematopoietic Stem Cell Gene Therapy Rescues Clinical Phenotypes in a Murine Model of Pompe Disease. Molecular Therapy — Methods & Clinical Development. 18. 558–570. 9 indexed citations
9.
Moyle, Louise A., Francesco Saverio Tedesco, & Sara Benedetti. (2019). Pericytes in Muscular Dystrophies. Advances in experimental medicine and biology. 1147. 319–344. 10 indexed citations
10.
Gerli, M, Louise A. Moyle, Sara Benedetti, et al.. (2019). Combined Notch and PDGF Signaling Enhances Migration and Expression of Stem Cell Markers while Inducing Perivascular Cell Features in Muscle Satellite Cells. Stem Cell Reports. 12(3). 461–473. 34 indexed citations
11.
Spaggiari, Emmanuel, J. Stirnemann, Sara Benedetti, et al.. (2018). Comparison of biochemical analysis of fetal serum and fetal urine in the prediction of postnatal renal outcome in lower urinary tract obstruction. Prenatal Diagnosis. 38(8). 555–560. 6 indexed citations
12.
Bonfanti, Chiara, Giuliana Rossi, Francesco Saverio Tedesco, et al.. (2015). PW1/Peg3 expression regulates key properties that determine mesoangioblast stem cell competence. Nature Communications. 6(1). 6364–6364. 60 indexed citations
13.
Fuoco, Claudia, Roberto Rizzi, Emanuela Longa, et al.. (2015). In vivo generation of a mature and functional artificial skeletal muscle. EMBO Molecular Medicine. 7(4). 411–422. 72 indexed citations
14.
Maffioletti, Sara M., M Gerli, Martina Ragazzi, et al.. (2015). Efficient derivation and inducible differentiation of expandable skeletal myogenic cells from human ES and patient-specific iPS cells. Nature Protocols. 10(7). 941–958. 76 indexed citations
15.
Gnudi, Luigi, Sara Benedetti, Adrian S. Woolf, & David A. Long. (2015). Vascular growth factors play critical roles in kidney glomeruli. Clinical Science. 129(12). 1225–1236. 30 indexed citations
16.
Cappellari, Ornella, Sara Benedetti, A Innocenzi, et al.. (2014). Dll4 and PDGF-BB Convert Committed Skeletal Myoblasts to Pericytes without Erasing Their Myogenic Memory. Developmental Cell. 30(2). 246–247. 1 indexed citations
17.
Giannotta, Monica, Sara Benedetti, Francesco Saverio Tedesco, et al.. (2013). Targeting endothelial junctional adhesion molecule‐ A / EPAC / R ap‐1 axis as a novel strategy to increase stem cell engraftment in dystrophic muscles. EMBO Molecular Medicine. 6(2). 239–258. 27 indexed citations
18.
Cappellari, Ornella, Sara Benedetti, A Innocenzi, et al.. (2013). Dll4 and PDGF-BB Convert Committed Skeletal Myoblasts to Pericytes without Erasing Their Myogenic Memory. Developmental Cell. 24(6). 586–599. 39 indexed citations
19.
Benedetti, Sara, Hidetoshi Hoshiya, & Francesco Saverio Tedesco. (2013). Repair or replace? Exploiting novel gene and cell therapy strategies for muscular dystrophies. FEBS Journal. 280(17). 4263–4280. 43 indexed citations
20.
Tedesco, Francesco Saverio, Hidetoshi Hoshiya, Giuseppe D’Antona, et al.. (2011). Stem Cell–Mediated Transfer of a Human Artificial Chromosome Ameliorates Muscular Dystrophy. Science Translational Medicine. 3(96). 96ra78–96ra78. 120 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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