J Nataf
Impact in
- Hematology top 2%
- Erythropoietin and Anemia Treatment
- Blood groups and transfusion
- Immunology top 5%
- Biosimilars and Bioanalytical Methods
Papers in
-
- Blood groups and transfusion 6
- Chronic Myeloid Leukemia Treatments 1
- Genetics 5
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Valérie Ugo (3 shared papers)P Martin-Dupont (1 shared paper)Patrick A. Michaud (1 shared paper)T. Papo (1 shared paper)Patrick Mayeux (1 shared paper)Irène Teyssandier (1 shared paper)B Viron (1 shared paper)Jean‐Jacques Kiladjian (1 shared paper)
- Journals
- Transfusion (4 papers)Leukemia (2 papers)European Journal of Cancer (1 paper)Hepatology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
J Nataf
14 papers receiving 1.2k citations
J Nataf's Hit Papers
Peers
Comparison fields: 5 of 82
- Hematology 373
- Immunology 491
- Genetics 195
- Hepatology 93
- Radiology, Nuclear Medicine and Imaging 235
Countries citing papers authored by J Nataf
This map shows the geographic impact of J Nataf'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 J Nataf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Nataf more than expected).
Fields of papers citing papers by J Nataf
This network shows the impact of papers produced by J Nataf. 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 J Nataf. The network helps show where J Nataf may publish in the future.
Co-authors
The 25 scholars most cited alongside J Nataf, 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 | Pure Red-Cell Aplasia and Antierythropoietin Antibodies in Patients Treated with Recombinant Erythropoietin Hit paper breakdown → | 2002 | 846 |
| 2 | 1990 | 148 | |
| 3 | 2006 | 69 | |
| 4 | 1997 | 55 | |
| 5 | 1990 | 53 | |
| 6 | 2003 | 49 | |
| 7 | 2012 | 16 | |
| 8 | 2006 | 16 | |
| 9 | 2004 | 15 | |
| 10 | 2015 | 12 | |
| 11 | 2016 | 12 | |
| 12 | [Acute hepatitis caused by dihydralazine]. | 1987 | 6 |
| 13 | 2023 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2017 | 0 |
About J Nataf
J Nataf is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Viral-associated cancers and disorders (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (373 citations), Immunology (491 citations), Genetics (195 citations), Hepatology (93 citations) and Radiology, Nuclear Medicine and Imaging (235 citations). J Nataf has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Valérie Ugo, P Martin-Dupont, Patrick A. Michaud, T. Papo, Patrick Mayeux, Irène Teyssandier, B Viron, Jean‐Jacques Kiladjian, Bruno Varet and Nicole Casadevall. Their work appears in journals such as Transfusion, Leukemia, European Journal of Cancer, Hepatology and Journal of Clinical Investigation.
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.