Loïc Chartier
Impact in
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- Lymphoma Diagnosis and Treatment
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Lymphoma Diagnosis and Treatment 26
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- Ovarian cancer diagnosis and treatment 5
- Co-authors
- Michel Meignan (10 shared papers)René-Olivier Casasnovas (9 shared papers)Anne‐Ségolène Cottereau (9 shared papers)Corinne Haïoun (6 shared papers)Jehan Dupuis (5 shared papers)Vittoria Tarantino (4 shared papers)Annibale Versari (5 shared papers)Stefano Luminari (5 shared papers)
- Journals
- Blood (8 papers)Hematological Oncology (7 papers)Blood Advances (4 papers)British Journal of Haematology (3 papers)Blood Cancer Journal (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Loïc Chartier
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 42
- Pathology and Forensic Medicine 769
- Radiology, Nuclear Medicine and Imaging 347
- Oncology 293
- Reproductive Medicine 76
- Neurology 131
Countries citing papers authored by Loïc Chartier
This map shows the geographic impact of Loïc Chartier'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 Loïc Chartier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loïc Chartier more than expected).
Fields of papers citing papers by Loïc Chartier
This network shows the impact of papers produced by Loïc Chartier. 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 Loïc Chartier. The network helps show where Loïc Chartier may publish in the future.
Co-authors
The 25 scholars most cited alongside Loïc Chartier, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 260 | |
| 2 | 2020 | 152 | |
| 3 | 2018 | 143 | |
| 4 | 2020 | 131 | |
| 5 | 2018 | 61 | |
| 6 | 2020 | 60 | |
| 7 | 2016 | 57 | |
| 8 | 2022 | 29 | |
| 9 | 2021 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2021 | 15 | |
| 12 | 2024 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2019 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2020 | 2 |
About Loïc Chartier
Loïc Chartier is a scholar working on Pathology and Forensic Medicine, Reproductive Medicine, Pulmonary and Respiratory Medicine, Oncology and Neurology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (26 papers), Lung Cancer Treatments and Mutations (6 papers), Ovarian cancer diagnosis and treatment (5 papers), CAR-T cell therapy research (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (769 citations), Radiology, Nuclear Medicine and Imaging (347 citations), Oncology (293 citations), Reproductive Medicine (76 citations) and Neurology (131 citations). Loïc Chartier has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Michel Meignan, René-Olivier Casasnovas, Anne‐Ségolène Cottereau, Corinne Haïoun, Jehan Dupuis, Vittoria Tarantino, Annibale Versari, Stefano Luminari, Gilles Salles and Hervé Tilly. Their work appears in journals such as Blood, Hematological Oncology, Blood Advances, British Journal of Haematology and Blood Cancer Journal.
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.