Najib Dally
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Genetics 14
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Hematology 13
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 4
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Andrei Braester (11 shared papers)Ron Hoffman (1 shared paper)Nuhad Haddad (1 shared paper)Tamar Tadmor (11 shared papers)Galit Sarig (1 shared paper)Benjamin Brenner (2 shared papers)Lev Shvidel (9 shared papers)Jacob M. Rowe (1 shared paper)
- Journals
- Blood (7 papers)Leukemia Research (3 papers)European Journal Of Haematology (3 papers)Annals of Hematology (2 papers)Thrombosis Research (1 paper)
- Partner nations
- IsraelSpainUnited Kingdom
In The Last Decade
Najib Dally
36 papers receiving 459 citations
Peers
Comparison fields: 5 of 66
- Genetics 109
- Hematology 81
- Infectious Diseases 107
- Internal Medicine 17
- Oncology 121
Countries citing papers authored by Najib Dally
This map shows the geographic impact of Najib Dally'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 Najib Dally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najib Dally more than expected).
Fields of papers citing papers by Najib Dally
This network shows the impact of papers produced by Najib Dally. 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 Najib Dally. The network helps show where Najib Dally may publish in the future.
Co-authors
The 25 scholars most cited alongside Najib Dally, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2005 | 69 | |
| 3 | 2021 | 68 | |
| 4 | 2006 | 47 | |
| 5 | 2017 | 39 | |
| 6 | 2015 | 18 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2023 | 5 |
About Najib Dally
Najib Dally is a scholar working on Genetics, Hematology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 39 papers that have together received 468 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (4 papers), Multiple Myeloma Research and Treatments (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (109 citations), Hematology (81 citations), Infectious Diseases (107 citations), Internal Medicine (17 citations) and Oncology (121 citations). Najib Dally has collaborated with scholars based in Israel, Spain and United Kingdom. Frequent co-authors include Andrei Braester, Ron Hoffman, Nuhad Haddad, Tamar Tadmor, Galit Sarig, Benjamin Brenner, Lev Shvidel, Jacob M. Rowe, Aaron Polliack and Osnat Bairey. Their work appears in journals such as Blood, Leukemia Research, European Journal Of Haematology, Annals of Hematology and Thrombosis Research.
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.