Muna Qayed

11.8k citations
80 papers · 886 · h-index 15

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 38
    • Acute Myeloid Leukemia Research 9
    • Immune Cell Function and Interaction 12

Muna Qayed

69 papers receiving 876 citations

Peers

Muna Qayed
Comparison fields: 5 of 85
  • Hematology 207
  • Genetics 192
  • Transplantation 41
  • Oncology 315
  • Hepatology 63
Replace Yngvar Fløisand with:
Yngvar Fløisand Norway
Münci Yağcı Türkiye
Young‐Woo Jeon South Korea
Francesco Puppo Italy
Kathleen Jentsch‐Ullrich Germany
M. J. Barnett Canada
Michael Uhlin Sweden
Masahiro Hirayama Japan
Jeanne Odom United States
Vivek R. Sharma United States
Muna Qayed relative to Yngvar Fløisand Norway Yngvar Fløisand's profile →
Citations per field
00.5×10.5×
Yngvar Fløisand · 1×
Citations per year

Countries citing papers authored by Muna Qayed

Since Specialization
Citations

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

Fields of papers citing papers by Muna Qayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 2018120
3 201962
4 201753
5 201247
6 202237
7 201530
8 202226
9 201922
10 202119
11 201618
12 201018
13 202018
14 201414
15 201714
16 201413
17 202312
18 201112
19 202112
20 202211

About Muna Qayed

Muna Qayed is a scholar working on Hematology, Immunology, Oncology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 80 papers that have together received 886 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (38 papers), Acute Lymphoblastic Leukemia research (14 papers), Immune Cell Function and Interaction (12 papers), Neuroblastoma Research and Treatments (11 papers), Renal Transplantation Outcomes and Treatments (11 papers), Acute Myeloid Leukemia Research (9 papers), Childhood Cancer Survivors' Quality of Life (9 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Hematology (207 citations), Genetics (192 citations), Transplantation (41 citations), Oncology (315 citations) and Hepatology (63 citations). Muna Qayed has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Edmund K. Waller, Howard M. Katzenstein, Jacques Galipeau, Marco Garcia, Raghavan Chinnadurai, John Horan, Devi Rajan, Subra Kugathasan, Larry J. Anderson and Yifei Liu. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Pediatric Blood & Cancer, Biology of Blood and Marrow Transplantation and Journal of Pediatric Hematology/Oncology.

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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