Majed Ghattas

566 total citations · 2 hit papers
7 papers, 351 citations indexed

About

Majed Ghattas is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Majed Ghattas has authored 7 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Majed Ghattas's work include RNA Interference and Gene Delivery (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Antimicrobial Peptides and Activities (2 papers). Majed Ghattas is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Antimicrobial Peptides and Activities (2 papers). Majed Ghattas collaborates with scholars based in United States, Canada and China. Majed Ghattas's co-authors include Mohamad‐Gabriel Alameh, Marc Lavertu, Garima Dwivedi, Ningqiang Gong, Michael J. Mitchell, Drew Weissman, Ying Xu, Xuexiang Han, Lulu Xue and Junchao Xu and has published in prestigious journals such as Nature Nanotechnology, Nature Chemistry and RSC Advances.

In The Last Decade

Majed Ghattas

6 papers receiving 348 citations

Hit Papers

align trajectories

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.

Adjuvant lipidoid-substituted lipid nanoparticles augment the immunogenicity of SARS-CoV-2 mRNA vaccines

2023 147 citations Xuexiang Han, Mohamad‐Gabriel Alameh et al. Nature Nanotechnology profile →
Chitosan immunomodulation: insights into mechanisms of action on immune cells and signaling pathways

2025 29 citations Majed Ghattas, Garima Dwivedi et al. RSC Advances profile →

Peers

Majed Ghattas

MB

ID

IMMUN

GENET

BIOMA

Jaclyn S. Higgins United States

Garima Dwivedi United States

Justine S. McPartlan United States

Armira Azuar Australia

Krunal Polra United Kingdom

Isabelle Turbica France

Panagiota Milona United Kingdom

Manpreet Kaur India

Rohan Narayan India

Christophe Barnier-Quer Switzerland

Jaclyn S. Higgins United States

Majed Ghattas

254 ×1.2

MB

86 ×0.8

ID

96 ×1.0

IMMUN

30 ×0.9

GENET

28 ×0.8

BIOMA

Citations per year, relative to Majed Ghattas Majed Ghattas (= 1×) peers Jaclyn S. Higgins

Countries citing papers authored by Majed Ghattas

Since Specialization

Citations

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

Fields of papers citing papers by Majed Ghattas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majed Ghattas

This figure shows the co-authorship network connecting the top 25 collaborators of Majed Ghattas. A scholar is included among the top collaborators of Majed Ghattas 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 Majed Ghattas. Majed Ghattas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Ghattas, Majed, Anik Chevrier, Dong Wang, Mohamad‐Gabriel Alameh, & Marc Lavertu. (2025). Reducing endotoxin contamination in chitosan: An optimized purification method for biomedical applications. Carbohydrate Polymer Technologies and Applications. 10. 100797–100797. 2 indexed citations

2.

Ghattas, Majed, et al.. (2025). Chitosan immunomodulation: insights into mechanisms of action on immune cells and signaling pathways. RSC Advances. 15(2). 896–909. 29 indexed citations breakdown →

3.

Ghattas, Majed, Garima Dwivedi, Anik Chevrier, et al.. (2025). Comparative Analysis of Chitosan, Lipid Nanoparticles, and Alum Adjuvants in Recombinant SARS-CoV-2 Vaccine: An Evaluation of Their Immunogenicity and Serological Efficacy. Vaccines. 13(8). 788–788.

4.

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

5.

Han, Xuexiang, Mohamad‐Gabriel Alameh, Kamila Butowska, et al.. (2023). Adjuvant lipidoid-substituted lipid nanoparticles augment the immunogenicity of SARS-CoV-2 mRNA vaccines. Nature Nanotechnology. 18(9). 1105–1114. 147 indexed citations breakdown →

6.

Alameh, Mohamad‐Gabriel, et al.. (2021). Poly(2-Propylacrylic Acid) Increases In Vitro Bioactivity of Chitosan/mRNA Nanoparticles. Journal of Pharmaceutical Sciences. 110(10). 3439–3449. 11 indexed citations

7.

Ghattas, Majed, Garima Dwivedi, Marc Lavertu, & Mohamad‐Gabriel Alameh. (2021). Vaccine Technologies and Platforms for Infectious Diseases: Current Progress, Challenges, and Opportunities. Vaccines. 9(12). 1490–1490. 118 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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