Marion Chevrier
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Genetics 3
- Chronic Lymphocytic Leukemia Research 2
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- CNS Lymphoma Diagnosis and Treatment 3
- Co-authors
- Jinmiao Chen (4 shared papers)Hoa Thi Tran (1 shared paper)Michelle Goh (1 shared paper)Kok Siong Ang (1 shared paper)Xiaomeng Zhang (1 shared paper)Josephine Lum (3 shared papers)C. Melción (1 shared paper)Lysiane Richert (1 shared paper)
In The Last Decade
Marion Chevrier
20 papers receiving 1.0k citations
Marion Chevrier's Hit Papers
Peers
Comparison fields: 5 of 87
- Biophysics 114
- Immunology 269
- Cancer Research 160
- Molecular Biology 608
- Oncology 113
Countries citing papers authored by Marion Chevrier
This map shows the geographic impact of Marion Chevrier'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 Marion Chevrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Chevrier more than expected).
Fields of papers citing papers by Marion Chevrier
This network shows the impact of papers produced by Marion Chevrier. 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 Marion Chevrier. The network helps show where Marion Chevrier may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Chevrier, 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 | A benchmark of batch-effect correction methods for single-cell RNA sequencing data Hit paper breakdown → | 2020 | 654 |
| 2 | 2019 | 161 | |
| 3 | 1991 | 58 | |
| 4 | 2016 | 30 | |
| 5 | 2020 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2019 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2019 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2017 | 1 |
About Marion Chevrier
Marion Chevrier is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Ophthalmology and Oncology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (3 papers), Ocular Oncology and Treatments (3 papers), T-cell and B-cell Immunology (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Breast Cancer Treatment Studies (2 papers), Immune Cell Function and Interaction (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Biophysics (114 citations), Immunology (269 citations), Cancer Research (160 citations), Molecular Biology (608 citations) and Oncology (113 citations). Marion Chevrier has collaborated with scholars based in France, Singapore and Canada. Frequent co-authors include Jinmiao Chen, Hoa Thi Tran, Michelle Goh, Kok Siong Ang, Xiaomeng Zhang, Josephine Lum, C. Melción, Lysiane Richert, A. Cordier and Alicia Tay. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Hematology & Oncology, iScience and Medical 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.