Cécile Demur
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Cell Biology top 2%
- Microtubule and mitosis dynamics
Papers in
- Hematology 43
- Acute Myeloid Leukemia Research 36
- Chronic Myeloid Leukemia Treatments 10
- Genetics 14
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Christian RécherBernard PayrastreVéronique Mansat‐De MasGuy LaurentCédric Dos SantosDavid BebbingtonElizabeth A. HarringtonTomoko Nakayama
- Journals
- Blood (18 papers)Leukemia (8 papers)Oncogene (4 papers)British Journal of Haematology (3 papers)Leukemia Research (3 papers)
- Partner nations
- FranceUnited StatesNew Zealand
In The Last Decade
Cécile Demur
77 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Hematology 1.2k
- Cell Biology 698
- Genetics 454
- Oncology 1.0k
- Molecular Biology 2.0k
Countries citing papers authored by Cécile Demur
This map shows the geographic impact of Cécile Demur'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 Cécile Demur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cécile Demur more than expected).
Fields of papers citing papers by Cécile Demur
This network shows the impact of papers produced by Cécile Demur. 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 Cécile Demur. The network helps show where Cécile Demur may publish in the future.
Co-authors
The 25 scholars most cited alongside Cécile Demur, 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 | 2015 | 21 | |
| 2 | 2013 | 27 | |
| 3 | 2012 | 81 | |
| 4 | 2011 | 147 | |
| 5 | 2011 | 16 | |
| 6 | 2011 | 44 | |
| 7 | 2010 | 0 | |
| 8 | 2009 | 57 | |
| 9 | 2009 | 44 | |
| 10 | 2008 | 42 | |
| 11 | 2008 | 27 | |
| 12 | 2008 | 20 | |
| 13 | 2007 | 22 | |
| 14 | La voie PI3K/Akt/mTOR : une nouvelle cible thérapeutique dans le traitement des leucémies aiguës myéloïdes | 2006 | 11 |
| 15 | 2004 | 38 | |
| 16 | Lymphome anaplasique : (I) Forme leucémique de la variante « à petites cellules »chez un enfant | 2000 | 1 |
| 17 | 1998 | 9 | |
| 18 | 1998 | 62 | |
| 19 | 1997 | 25 | |
| 20 | 1988 | 13 |
About Cécile Demur
Cécile Demur is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Oncology, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (36 papers), Chronic Myeloid Leukemia Treatments (10 papers), Acute Lymphoblastic Leukemia research (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immune Cell Function and Interaction (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Hematology (1.2k citations), Cell Biology (698 citations), Genetics (454 citations), Oncology (1.0k citations) and Molecular Biology (2.0k citations). Cécile Demur has collaborated with scholars based in France, United States and New Zealand. Frequent co-authors include Christian Récher, Bernard Payrastre, Véronique Mansat‐De Mas, Guy Laurent, Cédric Dos Santos, David Bebbington, Elizabeth A. Harrington, Tomoko Nakayama, Michael Su and Thierry Hercend. Their work appears in journals such as Blood, Leukemia, Oncogene, British Journal of Haematology 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.