Marie Sébert
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 30
- Acute Myeloid Leukemia Research 30
- Chronic Myeloid Leukemia Treatments 9
- Hematopoietic Stem Cell Transplantation 6
- Multiple Myeloma Research and Treatments 6
- Genetics 16
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Pierre Fenaux (33 shared papers)Lionel Adès (34 shared papers)Sylvain Thépot (15 shared papers)David Khayat (1 shared paper)Guido Kroemer (10 shared papers)Jean‐Philippe Spano (1 shared paper)Judith Michels (1 shared paper)Joël S. Bloch (1 shared paper)
In The Last Decade
Marie Sébert
43 papers receiving 591 citations
Peers
Comparison fields: 5 of 67
- Hematology 313
- Genetics 116
- Oncology 123
- Molecular Biology 281
- Immunology 60
Countries citing papers authored by Marie Sébert
This map shows the geographic impact of Marie Sébert'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 Marie Sébert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Sébert more than expected).
Fields of papers citing papers by Marie Sébert
This network shows the impact of papers produced by Marie Sébert. 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 Marie Sébert. The network helps show where Marie Sébert may publish in the future.
Co-authors
The 25 scholars most cited alongside Marie Sébert, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2009 | 94 | |
| 3 | 2011 | 49 | |
| 4 | 2012 | 43 | |
| 5 | 2011 | 43 | |
| 6 | 2011 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2011 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2021 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2015 | 15 | |
| 13 | 2014 | 13 | |
| 14 | 2019 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2010 | 5 |
About Marie Sébert
Marie Sébert is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Infectious Diseases, having authored 47 papers that have together received 593 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Multiple Myeloma Research and Treatments (6 papers), HIV/AIDS drug development and treatment (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Hematology (313 citations), Genetics (116 citations), Oncology (123 citations), Molecular Biology (281 citations) and Immunology (60 citations). Marie Sébert has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Pierre Fenaux, Lionel Adès, Sylvain Thépot, David Khayat, Guido Kroemer, Jean‐Philippe Spano, Judith Michels, Joël S. Bloch, Roger Mouawad and Élodie Lainey. Their work appears in journals such as Blood, Leukemia, Cell Cycle, Blood Advances and Leukemia Research.
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.