Galit Granot

654 citations
28 papers · 503 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Chronic Myeloid Leukemia Treatments 13
    • Acute Myeloid Leukemia Research 6
    • Chronic Lymphocytic Leukemia Research 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Galit Granot

27 papers receiving 501 citations

Peers

Galit Granot
Comparison fields: 5 of 60
  • Hematology 206
  • Cancer Research 147
  • Genetics 103
  • Molecular Biology 290
  • Oncology 83
Replace Louise Barys with:
Louise Barys Switzerland
Yongwei Su China
Cristina Panuzzo Italy
Mitchell J. Geer United States
Sijana H. Dzinic United States
Bettina Wingelhofer Austria
Sourik S. Ganguly United States
Akiko Sakashita Japan
S.C. Bock United States
C Mitsiades United States
Galit Granot relative to Louise Barys Switzerland Louise Barys's profile →
Citations per field
00.5×1.5×2.4×
Louise Barys · 1×
Citations per year

Countries citing papers authored by Galit Granot

Since Specialization
Citations

This map shows the geographic impact of Galit Granot'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 Galit Granot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galit Granot more than expected).

Fields of papers citing papers by Galit Granot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Galit Granot. 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 Galit Granot. The network helps show where Galit Granot may publish in the future.

Co-authors

The 25 scholars most cited alongside Galit Granot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Galit Granot Line = papers co-authored together Galit Granot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20242
5 20232
6 202212
7 202117
8 20206
9 201818
10 201845
11 201553
12 201467
13 20146
14 20136
15 20139
16 201214
17 201218
18 201284
19 201020
20 200918

About Galit Granot

Galit Granot is a scholar working on Hematology, Genetics, Rheumatology, Immunology and Oncology, having authored 28 papers that have together received 503 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (13 papers), Eosinophilic Disorders and Syndromes (8 papers), Acute Myeloid Leukemia Research (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Hematology (206 citations), Cancer Research (147 citations), Genetics (103 citations), Molecular Biology (290 citations) and Oncology (83 citations). Galit Granot has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Pia Raanani, Ofer Shpilberg, Oshrat Hershkovitz‐Rokah, Metsada Pasmanik‐Chor, Shira Modai, Noam Shomron, Amos Toren, Oren Pasvolsky, Avi Leader and Ido Lubin. Their work appears in journals such as Blood, Cancer Letters, Experimental Hematology, British Journal of Haematology and Leukemia 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.

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