Mohammad Azab

1.2k citations
19 papers · 555 · h-index 10

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 13
    • Histone Deacetylase Inhibitors Research 4
    • Epigenetics and DNA Methylation 3

Mohammad Azab

18 papers receiving 548 citations

Peers

Mohammad Azab
Comparison fields: 5 of 58
  • Hematology 308
  • Genetics 78
  • Molecular Biology 328
  • Oncology 62
  • Cancer Research 33
Replace Laxmi Narayana Buddharaju with:
Laxmi Narayana Buddharaju United States
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Yogesh Jethava United States
Yu Jing China
Giovanni Marconi Italy
Rama Al Hamed France
Margaret M. Showel United States
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Mohammad Azab relative to Laxmi Narayana Buddharaju United States Laxmi Narayana Buddharaju's profile →
Citations per field
00.5×10×15×17.7×
Laxmi Narayana Buddharaju · 1×
Citations per year

Countries citing papers authored by Mohammad Azab

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Azab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2015212
2 2020148
3 201749
4 201426
5 202325
6 202016
7 202115
8 201613
9 202313
10 201610
11 20229
12 20126
13 20154
14 20103
15 20153
16 20151
17 20141
18 20181
19 20190

About Mohammad Azab

Mohammad Azab is a scholar working on Hematology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Oncology, having authored 19 papers that have together received 555 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Epigenetics and DNA Methylation (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Neutropenia and Cancer Infections (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Hematology (308 citations), Genetics (78 citations), Molecular Biology (328 citations), Oncology (62 citations) and Cancer Research (33 citations). Mohammad Azab has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Aram Oganesian, Elizabeth A. Griffiths, Gail J. Roboz, Hagop M. Kantarjian, Casey L. O’Connell, Karen Yee, Jean‐Pierre J. Issa, Yong Hao, Katherine Walsh and Pietro Taverna. Their work appears in journals such as Blood, Cancer Chemotherapy and Pharmacology, Annals of Oncology, Targeted Oncology and Leukemia.

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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