Nicolas Sévère
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Ubiquitin and proteasome pathways 3
- Fibroblast Growth Factor Research 2
- Oncology 8
- Cancer-related Molecular Pathways 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- David T. Scadden (15 shared papers)Pierre J. Marie (7 shared papers)Ninib Baryawno (6 shared papers)Hichem Miraoui (3 shared papers)Karin Gustafsson (7 shared papers)Youmna Kfoury (6 shared papers)Konstantinos D. Kokkaliaris (5 shared papers)Dongjun Lee (2 shared papers)
- Journals
- Cell stem cell (3 papers)Cancer Research (3 papers)Blood (2 papers)Circulation Research (2 papers)Cell (2 papers)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Nicolas Sévère
24 papers receiving 1.8k citations
Nicolas Sévère's Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 390
- Genetics 281
- Immunology 455
- Cancer Research 246
- Neurology 118
Countries citing papers authored by Nicolas Sévère
This map shows the geographic impact of Nicolas Sévère'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 Nicolas Sévère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Sévère more than expected).
Fields of papers citing papers by Nicolas Sévère
This network shows the impact of papers produced by Nicolas Sévère. 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 Nicolas Sévère. The network helps show where Nicolas Sévère may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Sévère, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemia Hit paper breakdown → | 2019 | 582 |
| 2 | 2014 | 191 | |
| 3 | 2021 | 162 | |
| 4 | 2016 | 143 | |
| 5 | 2018 | 101 | |
| 6 | 2012 | 95 | |
| 7 | 2019 | 88 | |
| 8 | 2013 | 70 | |
| 9 | 2019 | 64 | |
| 10 | 2010 | 46 | |
| 11 | 2013 | 42 | |
| 12 | 2017 | 40 | |
| 13 | 2011 | 33 | |
| 14 | 2021 | 31 | |
| 15 | 2018 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2012 | 18 | |
| 18 | 2013 | 13 | |
| 19 | 2012 | 3 | |
| 20 | 2020 | 2 |
About Nicolas Sévère
Nicolas Sévère is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Cancer Research, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Ubiquitin and proteasome pathways (3 papers), T-cell and B-cell Immunology (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Hematology (390 citations), Genetics (281 citations), Immunology (455 citations), Cancer Research (246 citations) and Neurology (118 citations). Nicolas Sévère has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include David T. Scadden, Pierre J. Marie, Ninib Baryawno, Hichem Miraoui, Karin Gustafsson, Youmna Kfoury, Konstantinos D. Kokkaliaris, Dongjun Lee, François Mercier and Ani Papazian. Their work appears in journals such as Cell stem cell, Cancer Research, Blood, Circulation Research and Cell.
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.