Edy Hasrouni

571 citations
17 papers · 374 · h-index 5

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 14
    • Chronic Myeloid Leukemia Treatments 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 8
    • Blood disorders and treatments 2
    • Chronic Lymphocytic Leukemia Research 2

Edy Hasrouni

15 papers receiving 371 citations

Peers

Edy Hasrouni
Comparison fields: 5 of 36
  • Hematology 264
  • Genetics 108
  • Molecular Biology 225
  • Cancer Research 43
  • Pathology and Forensic Medicine 20
Replace George Corpus with:
George Corpus Canada
Eva Lumbreras Spain
Yajuan Cui China
Ronald Lekanne dit Deprez Netherlands
Paula de Melo Campos Brazil
Susana Bizarro Portugal
Cassandra P. Loren United States
Kaddour Chabane France
Jörg Chromik Germany
W.-K. Hofmann Germany
Edy Hasrouni relative to George Corpus Canada George Corpus's profile →
Citations per field
00.5×10×15×21×
George Corpus · 1×
Citations per year

Countries citing papers authored by Edy Hasrouni

Since Specialization
Citations

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

Fields of papers citing papers by Edy Hasrouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edy Hasrouni, 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 Edy Hasrouni Line = papers co-authored together Edy Hasrouni links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2013219
2 201254
3 201448
4 201417
5 201614
6 20134
7 20124
8 20133
9 20123
10 20122
11 20132
12 20111
13 20151
14 20131
15 20131
16 20120
17 20130

About Edy Hasrouni

Edy Hasrouni is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Surgery, having authored 17 papers that have together received 374 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (3 papers), Pancreatic function and diabetes (2 papers), Blood disorders and treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), RNA modifications and cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (264 citations), Genetics (108 citations), Molecular Biology (225 citations), Cancer Research (43 citations) and Pathology and Forensic Medicine (20 citations). Edy Hasrouni has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Mikkael A. Sekeres, Ramón V. Tiu, Ali Tabarroki, Valeria Visconte, Edward A. Copelan, Yogen Saunthararajah, Fabı́ola Traina, Anjali S. Advani, Hideki Makishima and Sara Teresinha Olalla Saad. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Oncology, American Journal of Hematology and Development.

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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