Baya Chérif‐Zahar
- Hematology top 0.2%
- Blood groups and transfusion 32
- Physiology top 1%
- Erythrocyte Function and Pathophysiology 27
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 5
- Biochemistry top 5%
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- Ion Transport and Channel Regulation 5
- Glycosylation and Glycoproteins Research 4
- DNA Repair Mechanisms 3
- Mitochondrial Function and Pathology 3
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- Blood properties and coagulation 3
- Co-authors
- Yves ColinCaroline Le Van KimJean‐Pierre CartronV RaynalVirginie RaynalIsabelle Mouro-ChanteloupGiorgio MatassiJP Cartron
- Cited by
- HematologyPhysiologyGenetics
In The Last Decade
Baya Chérif‐Zahar
54 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 100
- Hematology 2.1k
- Physiology 1.6k
- Genetics 553
- Pediatrics, Perinatology and Child Health 519
- Biochemistry 173
Countries citing papers authored by Baya Chérif‐Zahar
This map shows the geographic impact of Baya Chérif‐Zahar'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 Baya Chérif‐Zahar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baya Chérif‐Zahar more than expected).
Fields of papers citing papers by Baya Chérif‐Zahar
This network shows the impact of papers produced by Baya Chérif‐Zahar. 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 Baya Chérif‐Zahar. The network helps show where Baya Chérif‐Zahar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baya Chérif‐Zahar, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2019 | 4 | |
| 4 | 2018 | 110 | |
| 5 | 2007 | 112 | |
| 6 | 2006 | 38 | |
| 7 | 2003 | 0 | |
| 8 | 2002 | 114 | |
| 9 | 2000 | 281 | |
| 10 | 1999 | 47 | |
| 11 | 1998 | 3 | |
| 12 | 1998 | 90 | |
| 13 | 1998 | 17 | |
| 14 | Characterization of the recombination hot spot involved in the genomic rearrangement leading to the hybrid D-CE-D gene in the D(VI) phenotype. | 1997 | 25 |
| 15 | 1997 | 8 | |
| 16 | 1994 | 99 | |
| 17 | 1994 | 6 | |
| 18 | 1991 | 125 | |
| 19 | 1990 | 47 | |
| 20 | 1988 | 13 |
About Baya Chérif‐Zahar
Baya Chérif‐Zahar is a scholar working on Hematology, Physiology and Virology, having authored 56 papers that have together received 3.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (32 papers), Erythrocyte Function and Pathophysiology (27 papers), Ion Transport and Channel Regulation (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Glycosylation and Glycoproteins Research (4 papers), Blood properties and coagulation (3 papers), DNA Repair Mechanisms (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Hematology (2.1k citations), Physiology (1.6k citations) and Genetics (553 citations). Baya Chérif‐Zahar has collaborated with scholars based in France, Italy and Belgium. Frequent co-authors include Yves Colin, Caroline Le Van Kim, Jean‐Pierre Cartron, V Raynal, Virginie Raynal, Isabelle Mouro-Chanteloup, Giorgio Matassi, JP Cartron, V. Van Huffel and Bruno André. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.