Rakan El‐Mayta

2.2k total citations · 6 hit papers
27 papers, 1.5k citations indexed

About

Rakan El‐Mayta is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Rakan El‐Mayta has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Rakan El‐Mayta's work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (10 papers) and CAR-T cell therapy research (4 papers). Rakan El‐Mayta is often cited by papers focused on RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (10 papers) and CAR-T cell therapy research (4 papers). Rakan El‐Mayta collaborates with scholars based in United States, China and Brazil. Rakan El‐Mayta's co-authors include Michael J. Mitchell, Ningqiang Gong, Mohamad‐Gabriel Alameh, Drew Weissman, Margaret M. Billingsley, Sarah J. Shepherd, James M. Wilson, Lulu Xue, Xuexiang Han and Lili Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Rakan El‐Mayta

25 papers receiving 1.4k citations

Hit Papers

Scalable mRNA and siRNA Lipid Nanoparticle Production Usi... 2021 2026 2022 2024 2021 2023 2023 2024 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Scalable mRNA and siRNA Lipid Nanoparticle Production Using a Parallelized Microfluidic Device
    2021 222 citations Sarah J. Shepherd, Claude C. Warzecha et al. profile →
  2. Ligand-tethered lipid nanoparticles for targeted RNA delivery to treat liver fibrosis
    2023 123 citations Xuexiang Han, Ningqiang Gong et al. Nature Communications profile →
  3. In Vivo mRNA CAR T Cell Engineering via Targeted Ionizable Lipid Nanoparticles with Extrahepatic Tropism
    2023 108 citations Margaret M. Billingsley, Ningqiang Gong et al. profile →
  4. High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models
    2024 83 citations Lulu Xue, Alex G. Hamilton et al. Nature Communications profile →
  5. Throughput-scalable manufacturing of SARS-CoV-2 mRNA lipid nanoparticle vaccines
    2023 68 citations Sarah J. Shepherd, Xuexiang Han et al. Proceedings of the National Academy of Sciences profile →
  6. Enhancing in situ cancer vaccines using delivery technologies
    2024 64 citations Ningqiang Gong, Mohamad‐Gabriel Alameh et al. Nature Reviews Drug Discovery profile →

Peers

Rakan El‐Mayta
Kelsey L. Swingle United States
Zhongfeng Ye United States
Xueliang Yu China
Yuebao Zhang United States
Ranit Kedmi Israel
Cory D. Sago United States
Yulia Eygeris United States
Melissa P. Lokugamage United States
Derfogail Delcassian United States
David Loughrey United States
Kelsey L. Swingle United States
Rakan El‐Mayta
Citations per year, relative to Rakan El‐Mayta Rakan El‐Mayta (= 1×) peers Kelsey L. Swingle

Countries citing papers authored by Rakan El‐Mayta

Since Specialization
Citations

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

Fields of papers citing papers by Rakan El‐Mayta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rakan El‐Mayta. 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 Rakan El‐Mayta. The network helps show where Rakan El‐Mayta may publish in the future.

Co-authorship network of co-authors of Rakan El‐Mayta

This figure shows the co-authorship network connecting the top 25 collaborators of Rakan El‐Mayta. A scholar is included among the top collaborators of Rakan El‐Mayta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rakan El‐Mayta. Rakan El‐Mayta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shepherd, Sarah J., Rakan El‐Mayta, Thomas F. Anderson, et al.. (2025). Automated and Parallelized Microfluidic Generation of Large and Precisely Defined Lipid Nanoparticle Libraries. ACS Nano. 20(1). 772–789.
2.
Gong, Ningqiang, Dongyoon Kim, Mohamad‐Gabriel Alameh, et al.. (2025). Mannich reaction-based combinatorial libraries identify antioxidant ionizable lipids for mRNA delivery with reduced immunogenicity. Nature Biomedical Engineering. 9(12). 2181–2195. 2 indexed citations
3.
Haley, Rebecca M., Marshall S. Padilla, Rakan El‐Mayta, et al.. (2025). Lipid Nanoparticles for In Vivo Lung Delivery of CRISPR-Cas9 Ribonucleoproteins Allow Gene Editing of Clinical Targets. ACS Nano. 19(14). 13790–13804. 6 indexed citations
4.
Han, Xuexiang, Junchao Xu, Ying Xu, et al.. (2024). In situ combinatorial synthesis of degradable branched lipidoids for systemic delivery of mRNA therapeutics and gene editors. Nature Communications. 15(1). 1762–1762. 41 indexed citations
5.
Gong, Ningqiang, Wenqun Zhong, Mohamad‐Gabriel Alameh, et al.. (2024). Tumour-derived small extracellular vesicles act as a barrier to therapeutic nanoparticle delivery. Nature Materials. 23(12). 1736–1747. 31 indexed citations
6.
Xue, Lulu, Alex G. Hamilton, Gan Zhao, et al.. (2024). High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical models. Nature Communications. 15(1). 1884–1884. 83 indexed citations breakdown →
7.
Yang, Fan, Duo Zhang, Rakan El‐Mayta, et al.. (2024). An immunosuppressive vascular niche drives macrophage polarization and immunotherapy resistance in glioblastoma. Science Advances. 10(9). eadj4678–eadj4678. 17 indexed citations
8.
Han, Xuexiang, Mohamad‐Gabriel Alameh, Ningqiang Gong, et al.. (2024). Fast and facile synthesis of amidine-incorporated degradable lipids for versatile mRNA delivery in vivo. Nature Chemistry. 16(10). 1687–1697. 44 indexed citations
9.
Han, Xuexiang, Mohamad‐Gabriel Alameh, Ying Xu, et al.. (2024). Optimization of the activity and biodegradability of ionizable lipids for mRNA delivery via directed chemical evolution. Nature Biomedical Engineering. 8(11). 1412–1424. 22 indexed citations
10.
Gong, Ningqiang, Mohamad‐Gabriel Alameh, Rakan El‐Mayta, et al.. (2024). Enhancing in situ cancer vaccines using delivery technologies. Nature Reviews Drug Discovery. 23(8). 607–625. 64 indexed citations breakdown →
11.
Gong, Ningqiang, Xuexiang Han, Lulu Xue, et al.. (2024). Small-molecule-mediated control of the anti-tumour activity and off-tumour toxicity of a supramolecular bispecific T cell engager. Nature Biomedical Engineering. 8(5). 513–528. 14 indexed citations
12.
Guimarães, Pedro Pires Goulart, Rachel Riley, Ningqiang Gong, et al.. (2023). In vivo bone marrow microenvironment siRNA delivery using lipid–polymer nanoparticles for multiple myeloma therapy. Proceedings of the National Academy of Sciences. 120(25). e2215711120–e2215711120. 32 indexed citations
13.
Shepherd, Sarah J., Xuexiang Han, Alvin J. Mukalel, et al.. (2023). Throughput-scalable manufacturing of SARS-CoV-2 mRNA lipid nanoparticle vaccines. Proceedings of the National Academy of Sciences. 120(33). e2303567120–e2303567120. 68 indexed citations breakdown →
14.
Gong, Ningqiang, Xuexiang Han, Lulu Xue, et al.. (2023). In situ PEGylation of CAR T cells alleviates cytokine release syndrome and neurotoxicity. Nature Materials. 22(12). 1571–1580. 49 indexed citations
15.
Han, Xuexiang, Ningqiang Gong, Lulu Xue, et al.. (2023). Ligand-tethered lipid nanoparticles for targeted RNA delivery to treat liver fibrosis. Nature Communications. 14(1). 75–75. 123 indexed citations breakdown →
16.
El‐Mayta, Rakan, Marshall S. Padilla, Margaret M. Billingsley, Xuexiang Han, & Michael J. Mitchell. (2023). Testing the <em>In Vitro</em> and <em>In Vivo</em> Efficiency of mRNA-Lipid Nanoparticles Formulated by Microfluidic Mixing. Journal of Visualized Experiments. 14 indexed citations
17.
Huang, Menggui, Fan Yang, Duo Zhang, et al.. (2022). Endothelial plasticity drives aberrant vascularization and impedes cardiac repair after myocardial infarction. Nature Cardiovascular Research. 1(4). 372–388. 13 indexed citations
18.
Butowska, Kamila, Xuexiang Han, Ningqiang Gong, et al.. (2022). Doxorubicin-conjugated siRNA lipid nanoparticles for combination cancer therapy. Acta Pharmaceutica Sinica B. 13(4). 1429–1437. 49 indexed citations
19.
El‐Mayta, Rakan, Zijing Zhang, Alex G. Hamilton, & Michael J. Mitchell. (2021). Delivery technologies to engineer natural killer cells for cancer immunotherapy. Cancer Gene Therapy. 28(9). 947–959. 26 indexed citations
20.
Zhang, Rui, Rakan El‐Mayta, Timothy J. Murdoch, et al.. (2020). Helper lipid structure influences protein adsorption and delivery of lipid nanoparticles to spleen and liver. Biomaterials Science. 9(4). 1449–1463. 175 indexed citations

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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