A ar-Rushdi
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
Papers in
- Genetics 9
- Chronic Lymphocytic Leukemia Research 9
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- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Carlo M. CroceJan EriksonKazuko NishikuraG RoveraPeter C. Nowell̀Rosemary WattJ FinanBeverly S. Emanuel
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Science (4 papers)Nature (2 papers)Journal of Cellular Biochemistry (1 paper)Genetics (1 paper)
- Partner nations
- United StatesItalyIndia
In The Last Decade
A ar-Rushdi
25 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 85
- Hematology 476
- Genetics 423
- Pathology and Forensic Medicine 472
- Oncology 561
- Immunology 396
Countries citing papers authored by A ar-Rushdi
This map shows the geographic impact of A ar-Rushdi'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 A ar-Rushdi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A ar-Rushdi more than expected).
Fields of papers citing papers by A ar-Rushdi
This network shows the impact of papers produced by A ar-Rushdi. 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 A ar-Rushdi. The network helps show where A ar-Rushdi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A ar-Rushdi, 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 | 1989 | 222 | |
| 2 | Fusion of the bcr and the c-abl genes in Ph'-positive acute lymphocytic leukemia with no rearrangement in the breakpoint cluster region. | 1988 | 18 |
| 3 | 1987 | 24 | |
| 4 | Characterization of the human PIM-1 gene: a putative proto-oncogene coding for a tissue specific member of the protein kinase family. | 1987 | 55 |
| 5 | 1987 | 8 | |
| 6 | 1986 | 83 | |
| 7 | 1986 | 75 | |
| 8 | 1986 | 132 | |
| 9 | 1985 | 39 | |
| 10 | 1985 | 16 | |
| 11 | 1984 | 50 | |
| 12 | 1984 | 65 | |
| 13 | 1983 | 292 | |
| 14 | 1983 | 222 | |
| 15 | 1983 | 128 | |
| 16 | 1982 | 18 | |
| 17 | 1971 | 8 | |
| 18 | 1962 | 61 | |
| 19 | 1957 | 16 | |
| 20 | 1956 | 9 |
About A ar-Rushdi
A ar-Rushdi is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer Mechanisms and Therapy (3 papers), Peptidase Inhibition and Analysis (3 papers), CAR-T cell therapy research (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (476 citations), Genetics (423 citations), Pathology and Forensic Medicine (472 citations), Oncology (561 citations) and Immunology (396 citations). A ar-Rushdi has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Carlo M. Croce, Jan Erikson, Kazuko Nishikura, G Rovera, Peter C. Nowell̀, Rosemary Watt, J Finan, Beverly S. Emanuel, H.L. Drwinga and Kay Huebner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Nature, Journal of Cellular Biochemistry and Genetics.
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.