Laetitia Pidial

829 total citations
21 papers, 460 citations indexed

About

Laetitia Pidial is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Laetitia Pidial has authored 21 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Laetitia Pidial's work include Tissue Engineering and Regenerative Medicine (9 papers), Extracellular vesicles in disease (4 papers) and Mesenchymal stem cell research (4 papers). Laetitia Pidial is often cited by papers focused on Tissue Engineering and Regenerative Medicine (9 papers), Extracellular vesicles in disease (4 papers) and Mesenchymal stem cell research (4 papers). Laetitia Pidial collaborates with scholars based in France, Switzerland and India. Laetitia Pidial's co-authors include Philippe Menasché, Olivier Clémеnt, Gabriel Rahmi, Gwennhaël Autret, Albert Hagège, Daniel Balvay, Bertrand Tavitian, C.A. Cuénod, Guillaume Perrod and Christophe Cellier and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Laetitia Pidial

21 papers receiving 452 citations

Peers

Laetitia Pidial
Tali Jonas Israel
Bo Halle Denmark
Mamta Wankhede United States
Andrew Larson United States
Rakhee Gawande United States
Wendy Y. Zhang United States
Laetitia Pidial
Citations per year, relative to Laetitia Pidial Laetitia Pidial (= 1×) peers Minjuan Zheng

Countries citing papers authored by Laetitia Pidial

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Pidial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Pidial

This figure shows the co-authorship network connecting the top 25 collaborators of Laetitia Pidial. A scholar is included among the top collaborators of Laetitia Pidial 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 Laetitia Pidial. Laetitia Pidial 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.
Cras, Audrey, Valérie Bellamy, A. Alberdi, et al.. (2022). Biomaterial-embedded extracellular vesicles improve recovery of the dysfunctional myocardium. Biomaterials. 291. 121877–121877. 17 indexed citations
2.
Harane, Nadia El, Maria Perotto, Paul Alayrac, et al.. (2021). Extracellular vesicles fail to trigger the generation of new cardiomyocytes in chronically infarcted hearts. Theranostics. 11(20). 10114–10124. 16 indexed citations
3.
Bellamy, Valérie, et al.. (2020). In vitro controlled release of extracellular vesicles for cardiac repair from poly(glycerol sebacate) acrylate-based polymers. Acta Biomaterialia. 115. 92–103. 23 indexed citations
4.
Siauve, Nathalie, Laetitia Pidial, Daniel Balvay, et al.. (2018). Assessment of Placental Perfusion in the Preeclampsia L-NAME Rat Model with High-Field Dynamic Contrast-Enhanced MRI. Fetal Diagnosis and Therapy. 44(4). 277–284. 14 indexed citations
5.
Silva, Amanda, Silvana Perretta, Guillaume Perrod, et al.. (2018). Thermoresponsive Gel Embedded with Adipose Stem-Cell-Derived Extracellular Vesicles Promotes Esophageal Fistula Healing in a Thermo-Actuated Delivery Strategy. ACS Nano. 12(10). 9800–9814. 65 indexed citations
6.
Perrod, Guillaume, Laetitia Pidial, Alexandre Bellucci, et al.. (2017). ADSC-sheet Transplantation to Prevent Stricture after Extended Esophageal Endoscopic Submucosal Dissection. Journal of Visualized Experiments. 11 indexed citations
7.
Blondiaux, Éléonore, Laetitia Pidial, Gwennhaël Autret, et al.. (2017). Bone marrow-derived mesenchymal stem cell-loaded fibrin patches act as a reservoir of paracrine factors in chronic myocardial infarction. Journal of Tissue Engineering and Regenerative Medicine. 11(12). 3417–3427. 23 indexed citations
8.
Perrod, Guillaume, Laetitia Pidial, Alexandre Bellucci, et al.. (2017). ADSC-sheet Transplantation to Prevent Stricture after Extended Esophageal Endoscopic Submucosal Dissection. Journal of Visualized Experiments. 5 indexed citations
9.
Ahmad, Bilal, Laetitia Pidial, Valérie Vanneaux, et al.. (2017). The influence of electrospinning parameters on polydioxanone scaffold properties. Biomedical Physics & Engineering Express. 4(2). 25023–25023. 6 indexed citations
10.
Perrod, Guillaume, Gabriel Rahmi, Laetitia Pidial, et al.. (2016). Cell Sheet Transplantation for Esophageal Stricture Prevention after Endoscopic Submucosal Dissection in a Porcine Model. PLoS ONE. 11(3). e0148249–e0148249. 34 indexed citations
11.
Comment, Arnaud, et al.. (2016). Dissolution Dynamic Nuclear Polarization Instrumentation for Real-time Enzymatic Reaction Rate Measurements by NMR. Journal of Visualized Experiments. 53548–53548. 7 indexed citations
12.
Rahmi, Gabriel, Laetitia Pidial, Amanda Silva, et al.. (2016). Designing 3D Mesenchymal Stem Cell Sheets Merging Magnetic and Fluorescent Features: When Cell Sheet Technology Meets Image-Guided Cell Therapy. Theranostics. 6(5). 739–751. 20 indexed citations
13.
Pidial, Laetitia, et al.. (2016). Pyruvate cellular uptake and enzymatic conversion probed by dissolution DNP‐NMR: the impact of overexpressed membrane transporters. Magnetic Resonance in Chemistry. 55(6). 579–583. 15 indexed citations
14.
Pidial, Laetitia, et al.. (2016). Dissolution Dynamic Nuclear Polarization Instrumentation for Real-time Enzymatic Reaction Rate Measurements by NMR. Journal of Visualized Experiments. 2 indexed citations
15.
Rahmi, Gabriel, Silvana Perretta, Laetitia Pidial, et al.. (2016). A Newly Designed Enterocutaneous Esophageal Fistula Model in the Pig. Surgical Innovation. 23(3). 221–228. 3 indexed citations
16.
Chamming’s, Foucauld, Marie‐Aude Lefrère‐Belda, Alban Redheuil, et al.. (2015). Supersonic Shear Wave Elastography of Response to Anti-cancer Therapy in a Xenograft Tumor Model. Ultrasound in Medicine & Biology. 42(4). 924–930. 16 indexed citations
17.
Blondiaux, Éléonore, Laetitia Pidial, José Vilar, et al.. (2013). Evaluation of Rat Heart Microvasculature with High-Spatial-Resolution Susceptibility-weighted MR Imaging. Radiology. 269(1). 277–282. 3 indexed citations
18.
Faye, N., Olivier Clémеnt, Daniel Balvay, et al.. (2013). Multiparametric optical and MR imaging demonstrate inhibition of tumor angiogenesis natural history by mural cell therapy. Magnetic Resonance in Medicine. 72(3). 841–849. 1 indexed citations
19.
Hamdi, Haïfa, Valérie Planat‐Benard, Alain Bel, et al.. (2011). Epicardial adipose stem cell sheets results in greater post-infarction survival than intramyocardial injections. Cardiovascular Research. 91(3). 483–491. 103 indexed citations
20.
Proksch, Susanne, Alain Bel, Étienne Puymirat, et al.. (2009). Does the Human Skeletal Muscle Harbor the Murine Equivalents of Cardiac Precursor Cells?. Molecular Therapy. 17(4). 733–741. 5 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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