Naomi Galili

10.8k citations
121 papers · 8.1k indexed · 5 hit papers · h-index 37
Topics
Acute Myeloid Leukemia Research (61 papers)Chronic Lymphocytic Leukemia Research (18 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers)

In The Last Decade

Naomi Galili

119 papers receiving 7.9k citations

Hit Papers

Clinical Effect of Point Mutations ...1990202620022014201119932008199020142505007501000

Peers

Naomi Galili
Comparison fields: 5 of 111
  • Molecular Biology 4.0k
  • Hematology 3.6k
  • Genetics 1.8k
  • Oncology 1.2k
  • Immunology 1.2k
Replace Oskar A. Haas with:
Oskar A. Haas Austria
Yasuhiko Kaneko Japan
Jean Soulier France
Guy Sauvageau Canada
Yasuhide Hayashi Japan
Jochen Harbott Germany
John D. Crispino United States
Anne Hagemeijer Belgium
Juan C. Cigudosa Spain
Rosemary E. Gale United Kingdom
Naomi Galili relative to Oskar A. Haas Austria Oskar A. Haas's profile →
Citations per field
00.5×1.7×
Oskar A. Haas · 1×
Citations per year

Countries citing papers authored by Naomi Galili

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Naomi Galili

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Galili. A scholar is included among the top collaborators of Naomi Galili based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naomi Galili. Naomi Galili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 312
2 23
3 7
4 2
5 12
6 111
7 54
8 17
9 16
10
Low incidence of JAK2 and FLT3 mutations in patients with chronic myelomonocytic leukemia (CMML)
1
11 22
12 21
13 10
14 20
15 24
16 36
17 28
18 65
19
Chromosomal translocation t(1;19) results in synthesis of a homeobox fusion mRNA that codes for a potential chimeric transcription factorbreakdown →
581
20 299

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) and Myeloproliferative Neoplasms: Diagnosis and Treatment (17 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. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.

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.

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