Raphaël Itzykson
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 111
- Chronic Myeloid Leukemia Treatments 24
- Multiple Myeloma Research and Treatments 18
- Hematopoietic Stem Cell Transplantation 14
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 41
- Chronic Lymphocytic Leukemia Research 28
- Cancer Research top 1%
- Oncology top 1%
- Molecular Biology top 2%
- Histone Deacetylase Inhibitors Research 12
- Protein Degradation and Inhibitors 12
- Co-authors
- Christophé CômeSendurai A. ManiPierre SavagnerRobert A. WeinbergInna GitelmanSridhar RamaswamyJing YangAndrea L. Richardson
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Raphaël Itzykson
126 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Hematology 2.9k
- Genetics 1.5k
- Cancer Research 1.2k
- Oncology 2.0k
- Molecular Biology 3.5k
Countries citing papers authored by Raphaël Itzykson
This map shows the geographic impact of Raphaël Itzykson'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 Raphaël Itzykson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Itzykson more than expected).
Fields of papers citing papers by Raphaël Itzykson
This network shows the impact of papers produced by Raphaël Itzykson. 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 Raphaël Itzykson. The network helps show where Raphaël Itzykson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Itzykson, 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 21 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 0 | |
| 14 | 2020 | 39 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 65 | |
| 17 | 2015 | 6 | |
| 18 | 2015 | 46 | |
| 19 | 2013 | 26 | |
| 20 | 2011 | 16 |
About Raphaël Itzykson
Raphaël Itzykson is a scholar working on Hematology, Genetics and Immunology, having authored 139 papers that have together received 6.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (111 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (41 papers), Chronic Lymphocytic Leukemia Research (28 papers), Chronic Myeloid Leukemia Treatments (24 papers), Multiple Myeloma Research and Treatments (18 papers), Hematopoietic Stem Cell Transplantation (14 papers), Histone Deacetylase Inhibitors Research (12 papers) and Protein Degradation and Inhibitors (12 papers). The work is most often cited by research in Hematology (2.9k citations), Genetics (1.5k citations) and Cancer Research (1.2k citations). Raphaël Itzykson has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Christophé Côme, Sendurai A. Mani, Pierre Savagner, Robert A. Weinberg, Inna Gitelman, Sridhar Ramaswamy, Jing Yang, Andrea L. Richardson, Joana Liu Donaher and Pierre Fenaux. Their work appears in journals such as Blood, Leukemia, Leukemia Research, Haematologica and Blood Advances.
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.