Léonie Petitclerc
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
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- Advanced Neuroimaging Techniques and Applications 3
- Advanced MRI Techniques and Applications 3
- MRI in cancer diagnosis 1
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- Liver physiology and pathology 2
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Guillaume Gilbert (4 shared papers)An Tang (4 shared papers)Giada Sebastiani (2 shared papers)Guy Cloutier (2 shared papers)Lydiane Hirschler (4 shared papers)Bich Nguyen (2 shared papers)Matthias J.P. van Osch (4 shared papers)Marianne A.A. van Walderveen (1 shared paper)
- Journals
- Journal of Magnetic Resonance Imaging (2 papers)Magnetic Resonance Imaging (1 paper)Topics in Magnetic Resonance Imaging (1 paper)NMR in Biomedicine (1 paper)NeuroImage (1 paper)
- Partner nations
- NetherlandsCanadaUnited Kingdom
In The Last Decade
Léonie Petitclerc
7 papers receiving 303 citations
Peers
Comparison fields: 5 of 51
- Hepatology 84
- Radiology, Nuclear Medicine and Imaging 94
- Epidemiology 118
- Cellular and Molecular Neuroscience 50
- Biophysics 9
Countries citing papers authored by Léonie Petitclerc
This map shows the geographic impact of Léonie Petitclerc'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 Léonie Petitclerc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léonie Petitclerc more than expected).
Fields of papers citing papers by Léonie Petitclerc
This network shows the impact of papers produced by Léonie Petitclerc. 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 Léonie Petitclerc. The network helps show where Léonie Petitclerc may publish in the future.
Co-authors
The 25 scholars most cited alongside Léonie Petitclerc, 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 | 2016 | 159 | |
| 2 | 2021 | 59 | |
| 3 | 2017 | 46 | |
| 4 | 2019 | 17 | |
| 5 | 2020 | 10 | |
| 6 | 2019 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 0 |
About Léonie Petitclerc
Léonie Petitclerc is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Cellular and Molecular Neuroscience, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 305 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Fetal and Pediatric Neurological Disorders (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Hepatology (84 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Epidemiology (118 citations), Cellular and Molecular Neuroscience (50 citations) and Biophysics (9 citations). Léonie Petitclerc has collaborated with scholars based in Netherlands, Canada and United Kingdom. Frequent co-authors include Guillaume Gilbert, An Tang, Giada Sebastiani, Guy Cloutier, Lydiane Hirschler, Bich Nguyen, Matthias J.P. van Osch, Marianne A.A. van Walderveen, Jack A. Wells and David L. Thomas. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Magnetic Resonance Imaging, Topics in Magnetic Resonance Imaging, NMR in Biomedicine and NeuroImage.
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.