N. Roubi
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 2
- Multiple Myeloma Research and Treatments 1
-
- Cell death mechanisms and regulation 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Lydia Campos (5 shared papers)E Archimbaud (3 shared papers)P. Oriol (3 shared papers)C. Vasselon (3 shared papers)Odile Sabido (3 shared papers)JP Magaud (2 shared papers)D Guyotat (1 shared paper)Bertrand Coiffier (2 shared papers)
- Journals
- Blood (2 papers)British Journal of Haematology (1 paper)Experimental Hematology (1 paper)Cryobiology (1 paper)Transfusion Clinique et Biologique (1 paper)
- Partner nations
- FranceSwitzerland
In The Last Decade
N. Roubi
8 papers receiving 811 citations
N. Roubi's Hit Papers
Peers
Comparison fields: 5 of 62
- Hematology 353
- Genetics 103
- Oncology 230
- Molecular Biology 538
- Cancer Research 73
Countries citing papers authored by N. Roubi
This map shows the geographic impact of N. Roubi'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 N. Roubi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Roubi more than expected).
Fields of papers citing papers by N. Roubi
This network shows the impact of papers produced by N. Roubi. 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 N. Roubi. The network helps show where N. Roubi may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Roubi, 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 | High expression of bcl-2 protein in acute myeloid leukemia cells is associated with poor response to chemotherapy Hit paper breakdown → | 1993 | 667 |
| 2 | 2000 | 87 | |
| 3 | 1993 | 40 | |
| 4 | 1995 | 30 | |
| 5 | 1995 | 7 | |
| 6 | HIGH EXPRESSION OF BCL2 PROTEIN IN ACUTE MYELOID LEUKEMIA CELLS IN ASSOCIATED WITH POOR RESPONSE TO CHEMOTHERAPY | 1993 | 7 |
| 7 | Peripheral blood stem cells harvested after chemotherapy and GM-CSF for treatment intensification in patients with advanced lymphoproliferative diseases. | 1993 | 7 |
| 8 | 1999 | 2 |
About N. Roubi
N. Roubi is a scholar working on Hematology, Molecular Biology, Oncology, Infectious Diseases and Pharmacology, having authored 8 papers that have together received 847 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (2 papers), Cell death mechanisms and regulation (2 papers), CAR-T cell therapy research (2 papers), Epigenetics and DNA Methylation (1 paper), Liver physiology and pathology (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Hematology (353 citations), Genetics (103 citations), Oncology (230 citations), Molecular Biology (538 citations) and Cancer Research (73 citations). N. Roubi has collaborated with scholars based in France and Switzerland. Frequent co-authors include Lydia Campos, E Archimbaud, P. Oriol, C. Vasselon, Odile Sabido, JP Magaud, D Guyotat, Bertrand Coiffier, D Fière and Thierry Philip. Their work appears in journals such as Blood, British Journal of Haematology, Experimental Hematology, Cryobiology and Transfusion Clinique et Biologique.
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.