Naomi Galili
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 61
- Chronic Myeloid Leukemia Treatments 16
- Multiple Myeloma Research and Treatments 10
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 18
- Myeloproliferative Neoplasms: Diagnosis and Treatment 17
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- Lymphoma Diagnosis and Treatment 15
- Molecular Biology top 1%
- Immunology top 2%
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- Monoclonal and Polyclonal Antibodies Research 12
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- Acute Lymphoblastic Leukemia research 10
- Co-authors
- Azra RazaMichael L. ClearyG RoveraFrederic G. BarrBenjamin L. EbertBeverly S. EmanuelJamison L. NourseJeffrey Sklar
- Partner nations
- United StatesIsraelSweden
In The Last Decade
Naomi Galili
119 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Hematology 3.6k
- Genetics 1.8k
- Pathology and Forensic Medicine 1.1k
- Molecular Biology 4.0k
- Immunology 1.2k
Countries citing papers authored by Naomi Galili
This map shows the geographic impact of Naomi Galili'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 Naomi Galili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Galili more than expected).
Fields of papers citing papers by Naomi Galili
This network shows the impact of papers produced by Naomi Galili. 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 Naomi Galili. The network helps show where Naomi Galili may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naomi Galili, 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 | 2012 | 312 | |
| 2 | 2012 | 23 | |
| 3 | 2011 | 7 | |
| 4 | 2010 | 2 | |
| 5 | 2010 | 12 | |
| 6 | 2008 | 111 | |
| 7 | 2008 | 54 | |
| 8 | 2007 | 17 | |
| 9 | 2007 | 16 | |
| 10 | Low incidence of JAK2 and FLT3 mutations in patients with chronic myelomonocytic leukemia (CMML) | 2006 | 1 |
| 11 | 2006 | 22 | |
| 12 | 2006 | 21 | |
| 13 | 2004 | 10 | |
| 14 | 2002 | 20 | |
| 15 | 2001 | 24 | |
| 16 | 1997 | 36 | |
| 17 | 1992 | 28 | |
| 18 | 1992 | 65 | |
| 19 | Chromosomal translocation t(1;19) results in synthesis of a homeobox fusion mRNA that codes for a potential chimeric transcription factorbreakdown → | 1990 | 581 |
| 20 | 1986 | 299 |
About Naomi Galili
Naomi Galili is a scholar working on Hematology, Genetics and Immunology, having authored 121 papers that have together received 8.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (61 papers), Chronic Lymphocytic Leukemia Research (18 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers), Chronic Myeloid Leukemia Treatments (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Multiple Myeloma Research and Treatments (10 papers) and Acute Lymphoblastic Leukemia research (10 papers). The work is most often cited by research in Hematology (3.6k citations), Genetics (1.8k citations) and Pathology and Forensic Medicine (1.1k citations). Naomi Galili has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Azra Raza, Michael L. Cleary, G Rovera, Frederic G. Barr, Benjamin L. Ebert, Beverly S. Emanuel, Jamison L. Nourse, Jeffrey Sklar, William J. Fredericks and Frank J. Rauscher.
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.