Anne‐Marie Faussat
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 10%
- Hematology top 5%
- Ophthalmology top 2%
- Co-authors
- Jean‐Pierre MarieOllivier LegrandArmelle CalipelJean‐Yves PerrotJean ChambazFrédéric MascarelliRuoping TangAnne‐Lise Glotin
- Topics
- Drug Transport and Resistance Mechanisms (9 papers)Chronic Lymphocytic Leukemia Research (5 papers)Cell death mechanisms and regulation (5 papers)
- Cited by
- OncologyOphthalmologyHematology
- Partner nations
- FrancePuerto RicoPoland
In The Last Decade
Anne‐Marie Faussat
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.1k
- Oncology 648
- Cancer Research 242
- Hematology 205
- Ophthalmology 186
Countries citing papers authored by Anne‐Marie Faussat
This map shows the geographic impact of Anne‐Marie Faussat'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 Anne‐Marie Faussat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Marie Faussat more than expected).
Fields of papers citing papers by Anne‐Marie Faussat
This network shows the impact of papers produced by Anne‐Marie Faussat. 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 Anne‐Marie Faussat. The network helps show where Anne‐Marie Faussat may publish in the future.
Co-authorship network of co-authors of Anne‐Marie Faussat
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Marie Faussat. A scholar is included among the top collaborators of Anne‐Marie Faussat 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 Anne‐Marie Faussat. Anne‐Marie Faussat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 17 | |
| 3 | 50 | |
| 4 | 26 | |
| 5 | The Hsp90 Inhibitors, 17-aag and 17-dmag Target Wild-Type B-raf Signaling for the Proliferation of Human Uveal Melanoma Cells | 1 |
| 6 | 58 | |
| 7 | 49 | |
| 8 | 85 | |
| 9 | 22 | |
| 10 | 52 | |
| 11 | 23 | |
| 12 | 23 | |
| 13 | 29 | |
| 14 | 53 | |
| 15 | 43 | |
| 16 | 16 | |
| 17 | P-glycoprotein and multidrug resistance associated protein-1 activity in 132 acute myeloid leukemias according to FAB subtypes and cytogenetics risk groups. | 16 |
| 18 | 119 | |
| 19 | 29 | |
| 20 | 12 |
About Anne‐Marie Faussat
Anne‐Marie Faussat is a scholar working on Genetics, Oncology and Cancer Research, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Oncology (648 citations), Ophthalmology (186 citations) and Hematology (205 citations). Anne‐Marie Faussat has collaborated with scholars based in France, Puerto Rico and Poland. Frequent co-authors include Jean‐Pierre Marie, Ollivier Legrand, Armelle Calipel, Jean‐Yves Perrot, Jean Chambaz, Frédéric Mascarelli, Ruoping Tang, Anne‐Lise Glotin, F. Mouriaux and Driss Chaoui. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.
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.