Nada Hamad

3.2k citations
95 papers · 595 · h-index 14

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 26
    • Chronic Myeloid Leukemia Treatments 10
    • Acute Myeloid Leukemia Research 10
    • CAR-T cell therapy research 13
    • Cancer Risks and Factors 12

Nada Hamad

84 papers receiving 590 citations

Peers

Nada Hamad
Comparison fields: 5 of 62
  • Hematology 245
  • Genetics 135
  • Oncology 223
  • Transplantation 14
  • Pathology and Forensic Medicine 80
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Nada Hamad relative to Riad El Fakih Saudi Arabia Riad El Fakih's profile →
Citations per field
00.5×2.6×
Riad El Fakih · 1×
Citations per year

Countries citing papers authored by Nada Hamad

Since Specialization
Citations

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

Fields of papers citing papers by Nada Hamad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 202034
3 201434
4 201430
5 202125
6 202024
7 202020
8 202116
9 201816
10 201915
11 201415
12 201415
13 201514
14 202213
15 202012
16 202112
17 201411
18 202311
19 201710
20 20149

About Nada Hamad

Nada Hamad is a scholar working on Hematology, Oncology, Genetics, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 95 papers that have together received 595 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (17 papers), Acute Lymphoblastic Leukemia research (14 papers), CAR-T cell therapy research (13 papers), Cancer Risks and Factors (12 papers), Chronic Myeloid Leukemia Treatments (10 papers) and Acute Myeloid Leukemia Research (10 papers). The work is most often cited by research in Hematology (245 citations), Genetics (135 citations), Oncology (223 citations), Transplantation (14 citations) and Pathology and Forensic Medicine (80 citations). Nada Hamad has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Jeffrey H. Lipton, Vikas Gupta, John Kuruvilla, Jieun Uhm, Hans A. Messner, Matthew D. Seftel, Dennis Kim, Fotios V. Michelis, Dennis Dong Hwan Kim and Sang Kyun Sohn. Their work appears in journals such as Blood, The Lancet Haematology, British Journal of Haematology, Bone Marrow Transplantation and Biology of Blood and Marrow Transplantation.

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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