Laetitia Pidial
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Surgery 11
- Tissue Engineering and Regenerative Medicine 8
- Esophageal and GI Pathology 3
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- Extracellular vesicles in disease 4
- Co-authors
- Olivier Clémеnt (11 shared papers)Philippe Menasché (8 shared papers)Gabriel Rahmi (7 shared papers)Albert Hagège (3 shared papers)Gwennhaël Autret (7 shared papers)Bertrand Tavitian (7 shared papers)Daniel Balvay (6 shared papers)C.A. Cuénod (5 shared papers)
- Journals
- Journal of Visualized Experiments (4 papers)Theranostics (2 papers)Journal of Tissue Engineering and Regenerative Medicine (1 paper)PLoS ONE (1 paper)Biomaterials (1 paper)
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Laetitia Pidial
21 papers receiving 459 citations
Peers
Comparison fields: 5 of 59
- Biomaterials 107
- Genetics 79
- Surgery 185
- Radiology, Nuclear Medicine and Imaging 74
- Cancer Research 41
Countries citing papers authored by Laetitia Pidial
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
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-authors
The 25 scholars most cited alongside Laetitia Pidial, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 103 | |
| 2 | 2013 | 72 | |
| 3 | 2018 | 66 | |
| 4 | 2016 | 36 | |
| 5 | 2020 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2016 | 20 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2016 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2016 | 2 |
About Laetitia Pidial
Laetitia Pidial is a scholar working on Surgery, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (4 papers), Extracellular vesicles in disease (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Esophageal and GI Pathology (3 papers), Tracheal and airway disorders (3 papers), Advanced NMR Techniques and Applications (3 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Biomaterials (107 citations), Genetics (79 citations), Surgery (185 citations), Radiology, Nuclear Medicine and Imaging (74 citations) and Cancer Research (41 citations). Laetitia Pidial has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Olivier Clémеnt, Philippe Menasché, Gabriel Rahmi, Albert Hagège, Gwennhaël Autret, Bertrand Tavitian, Daniel Balvay, C.A. Cuénod, Christophe Cellier and Guillaume Perrod. Their work appears in journals such as Journal of Visualized Experiments, Theranostics, Journal of Tissue Engineering and Regenerative Medicine, PLoS ONE and Biomaterials.
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.