Laëtitia Padovani
- Genetics top 1%
- Glioma Diagnosis and Treatment 40
- Modeling and Simulation top 2%
- Neurology top 5%
- Neuroblastoma Research and Treatments 9
- Cancer Research top 10%
- Oncology top 5%
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- Brain Metastases and Treatment 17
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- Meningioma and schwannoma management 12
- Neuroendocrine Tumor Research Advances 7
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- Chromatin Remodeling and Cancer 10
- Hedgehog Signaling Pathway Studies 7
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- Advanced Radiotherapy Techniques 7
- Co-authors
- Nicolás AndréXavier MuraccioleDominique Figarella‐BrangerDidier ScavardaEddy PasquierLouis S. ConstineCarole ColinJoseph Ciccolini
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Laëtitia Padovani
81 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Genetics 761
- Modeling and Simulation 104
- Neurology 315
- Cancer Research 282
- Oncology 463
Countries citing papers authored by Laëtitia Padovani
This map shows the geographic impact of Laëtitia Padovani'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 Laëtitia Padovani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laëtitia Padovani more than expected).
Fields of papers citing papers by Laëtitia Padovani
This network shows the impact of papers produced by Laëtitia Padovani. 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 Laëtitia Padovani. The network helps show where Laëtitia Padovani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laëtitia Padovani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 29 | |
| 15 | 2017 | 29 | |
| 16 | 2016 | 122 | |
| 17 | 2012 | 11 | |
| 18 | 2012 | 102 | |
| 19 | 2009 | 49 | |
| 20 | 2009 | 7 |
About Laëtitia Padovani
Laëtitia Padovani is a scholar working on Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (40 papers), Brain Metastases and Treatment (17 papers), Meningioma and schwannoma management (12 papers), Chromatin Remodeling and Cancer (10 papers), Neuroblastoma Research and Treatments (9 papers), Advanced Radiotherapy Techniques (7 papers), Neuroendocrine Tumor Research Advances (7 papers) and Hedgehog Signaling Pathway Studies (7 papers). The work is most often cited by research in Genetics (761 citations), Modeling and Simulation (104 citations) and Neurology (315 citations). Laëtitia Padovani has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Nicolás André, Xavier Muracciole, Dominique Figarella‐Branger, Didier Scavarda, Eddy Pasquier, Louis S. Constine, Carole Colin, Joseph Ciccolini, Olivier Chinot and Anderson Loundou. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.
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.