Sylvie Gisselbrecht
- Hematology top 0.5%
- Platelet Disorders and Treatments 9
- Erythropoietin and Anemia Treatment 8
- Genetics top 1%
- Virus-based gene therapy research 14
- Chronic Lymphocytic Leukemia Research 11
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions 23
- Immunology top 2%
- Immune Cell Function and Interaction 8
- T-cell and Retrovirus Studies 7
- Molecular Biology top 5%
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- Erythrocyte Function and Pathophysiology 11
- Co-authors
- Patrick MayeuxStany ChrétienFabrice GouilleuxIsabelle Dusanter‐FourtO. MüllerCatherine LacombeFrédèrique VerdierSerge Fichelson
- Cited by
- HematologyGeneticsOncology
- Journals
- Nature (1 paper)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (12 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Sylvie Gisselbrecht
96 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 90
- Hematology 1.5k
- Genetics 703
- Oncology 1.6k
- Immunology 1.2k
- Molecular Biology 2.1k
Countries citing papers authored by Sylvie Gisselbrecht
This map shows the geographic impact of Sylvie Gisselbrecht'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 Sylvie Gisselbrecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvie Gisselbrecht more than expected).
Fields of papers citing papers by Sylvie Gisselbrecht
This network shows the impact of papers produced by Sylvie Gisselbrecht. 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 Sylvie Gisselbrecht. The network helps show where Sylvie Gisselbrecht may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sylvie Gisselbrecht, 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 | 2009 | 57 | |
| 2 | Mutagenèse insertionnelle et thérapie génique | 2005 | 2 |
| 3 | 2004 | 18 | |
| 4 | 2003 | 36 | |
| 5 | 2003 | 7 | |
| 6 | 2002 | 66 | |
| 7 | 2001 | 33 | |
| 8 | 2001 | 79 | |
| 9 | 2001 | 4 | |
| 10 | 2000 | 71 | |
| 11 | 1998 | 34 | |
| 12 | 1998 | 155 | |
| 13 | 1997 | 133 | |
| 14 | 1997 | 43 | |
| 15 | 1997 | 2 | |
| 16 | 1995 | 112 | |
| 17 | 1993 | 78 | |
| 18 | 1992 | 23 | |
| 19 | 1991 | 37 | |
| 20 | Prevalence of non-T-cells in the replication of the N-tropic, type C virus of young AKR mice. | 1978 | 9 |
About Sylvie Gisselbrecht
Sylvie Gisselbrecht is a scholar working on Hematology, Immunology and Genetics, having authored 98 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (23 papers), Virus-based gene therapy research (14 papers), Chronic Lymphocytic Leukemia Research (11 papers), Erythrocyte Function and Pathophysiology (11 papers), Platelet Disorders and Treatments (9 papers), Erythropoietin and Anemia Treatment (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and Retrovirus Studies (7 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (703 citations) and Oncology (1.6k citations). Sylvie Gisselbrecht has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Patrick Mayeux, Stany Chrétien, Fabrice Gouilleux, Isabelle Dusanter‐Fourt, O. Müller, Catherine Lacombe, Frédèrique Verdier, Serge Fichelson, Françoise Porteu and C. Lacombe. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.