Muna Qayed

12.3k citations
85 papers · 963 · h-index 15

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 39
    • Acute Myeloid Leukemia Research 9
    • Immune Cell Function and Interaction 12

Muna Qayed

73 papers receiving 946 citations

Peers

Muna Qayed
Comparison fields: 5 of 81
  • Genetics 190
  • Hematology 200
  • Transplantation 33
  • Oncology 283
  • Hepatology 64
Replace Renata Zaucha with:
Renata Zaucha Poland
M. Lambermont Belgium
Yngvar Fløisand Norway
Kazutaka Sunami Japan
Deepa Jagadeesh United States
Jayesh Mehta United States
Kyou Sup Han South Korea
Michael Uhlin Sweden
Walter Longo United States
Donna Skerrett United States
Muna Qayed relative to Renata Zaucha Poland Renata Zaucha's profile →
Citations per field
00.5×3.0×
Renata Zaucha · 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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018146
2 2018126
3 201969
4 201761
5 201252
6 202241
7 201531
8 202228
9 201924
10 201020
11 202119
12 202018
13 201618
14 201416
15 202315
16 201714
17 201414
18 202213
19 201113
20 202112

About Muna Qayed

Muna Qayed is a scholar working on Hematology, Immunology, Oncology, Genetics and Public Health, Environmental and Occupational Health, having authored 85 papers that have together received 963 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (39 papers), Acute Lymphoblastic Leukemia research (14 papers), Immune Cell Function and Interaction (12 papers), Renal Transplantation Outcomes and Treatments (11 papers), Neuroblastoma Research and Treatments (10 papers), Acute Myeloid Leukemia Research (9 papers), Cytomegalovirus and herpesvirus research (8 papers) and Childhood Cancer Survivors' Quality of Life (7 papers). The work is most often cited by research in Genetics (190 citations), Hematology (200 citations), Transplantation (33 citations), Oncology (283 citations) and Hepatology (64 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, Devi Rajan, Dalia Arafat, Greg Gibson, John Horan and Subra Kugathasan. 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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