Béatrice Panterne
- Hematology top 5%
- Molecular Biology
- Genetics top 10%
- Oncology
- Immunology
- Co-authors
- Antoinette HatzfeldPascal BatardJacques HatzfeldJean-Pierre LévesqueAngelo A. CardosoP SansilvestriMarie‐Noëlle MonierH Sookdeo
- Topics
- Hematopoietic Stem Cell Transplantation (9 papers)Mesenchymal stem cell research (3 papers)Acute Myeloid Leukemia Research (2 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Béatrice Panterne
14 papers receiving 365 citations
Peers
Comparison fields: 5 of 52
- Hematology 203
- Molecular Biology 192
- Genetics 88
- Oncology 79
- Immunology 79
Countries citing papers authored by Béatrice Panterne
This map shows the geographic impact of Béatrice Panterne'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 Béatrice Panterne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Béatrice Panterne more than expected).
Fields of papers citing papers by Béatrice Panterne
This network shows the impact of papers produced by Béatrice Panterne. 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 Béatrice Panterne. The network helps show where Béatrice Panterne may publish in the future.
Co-authorship network of co-authors of Béatrice Panterne
This figure shows the co-authorship network connecting the top 25 collaborators of Béatrice Panterne. A scholar is included among the top collaborators of Béatrice Panterne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Béatrice Panterne. Béatrice Panterne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | Fibrinogen cooperates with cytokines to induce interleukin-6 receptor mRNA expression in human hematopoietic CD34+ progenitors. | 1 |
| 4 | 40 | |
| 5 | 53 | |
| 6 | 27 | |
| 7 | 11 | |
| 8 | 46 | |
| 9 | Purification and release from quiescence of umbilical cord blood early progenitors reveal their potential to engraft adults. | 8 |
| 10 | 15 | |
| 11 | 145 | |
| 12 | 1 | |
| 13 | c-fos mRNA constitutive expression by mature human megakaryocytes. | 10 |
| 14 | Autocrine Transforming Growth-Factor-Beta Controls G0 Phase of Early Human Hematopoietic Progenitors in Serum-Free or Serum-Free Culture | 1 |
| 15 | 2 |
About Béatrice Panterne
Béatrice Panterne is a scholar working on Hematology, Genetics and Immunology, having authored 15 papers that have together received 373 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Mesenchymal stem cell research (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (203 citations), Genetics (88 citations) and Immunology (79 citations). Béatrice Panterne has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Antoinette Hatzfeld, Pascal Batard, Jacques Hatzfeld, Jean-Pierre Lévesque, Angelo A. Cardoso, P Sansilvestri, Marie‐Noëlle Monier, H Sookdeo, Eugene L. Brown and Steven C. Clark. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Journal of Cell Science.
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.