Morvarid Moayeri

873 citations
23 papers · 587 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 9
    • Animal Genetics and Reproduction 1
    • CAR-T cell therapy research 7

Morvarid Moayeri

18 papers receiving 574 citations

Peers

Morvarid Moayeri
Comparison fields: 5 of 58
  • Oncology 280
  • Genetics 289
  • Hematology 109
  • Immunology 154
  • Molecular Biology 246
Replace Yinmeng Yang with:
Yinmeng Yang United States
Deborah J. Marshall United States
V Duprez France
T Moritz United States
Jeongheon Yoon United States
Kathryn Nason-Burchenal United States
Semjon Willier Germany
Cosette Rebouissou France
Tomas Bos Belgium
Frederic B. Thalheimer Germany
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Citations per field
00.5×1.7×
Yinmeng Yang · 1×
Citations per year

Countries citing papers authored by Morvarid Moayeri

Since Specialization
Citations

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

Fields of papers citing papers by Morvarid Moayeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005179
2 2009112
3 200168
4 200565
5 200450
6 200327
7 200721
8 202019
9 201913
10 202210
11 20138
12 20216
13 20193
14 20082
15
ISOLATION AND IDENTIFICATION OF MALASSEZIA SPP. IN PITYRIASIS VERSICOLOR PATIENTS IN KASHAN
20091
16 20051
17 20211
18 20061
19
ANTIFUNGAL ACTIVITIES OF FLUCONAZOLE AND KETOCONAZOLE AGENTS AGAINST MALASSEZIA SPECIES
20090
20 20250

About Morvarid Moayeri

Morvarid Moayeri is a scholar working on Genetics, Oncology, Hematology, Molecular Biology and Cell Biology, having authored 23 papers that have together received 587 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), CAR-T cell therapy research (7 papers), Hemophilia Treatment and Research (3 papers), Blood transfusion and management (3 papers), Blood groups and transfusion (2 papers), Alzheimer's disease research and treatments (1 paper), Animal Genetics and Reproduction (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Oncology (280 citations), Genetics (289 citations), Hematology (109 citations), Immunology (154 citations) and Molecular Biology (246 citations). Morvarid Moayeri has collaborated with scholars based in United States, Japan and Iran. Frequent co-authors include Robert G. Hawley, Teresa S. Hawley, Marybeth S. Hughes, Zhili Zheng, Yik Y. L. Yu, Yong Li, Steven A. Rosenberg, Mark E. Dudley, Paul F. Robbins and John R. Wunderlich. Their work appears in journals such as Transfusion, Blood, Molecular Therapy, The Journal of Pediatrics and Current Gene Therapy.

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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