Majed Ghattas

566 citations
7 papers · 351 indexed · 2 hit papers · h-index 5

Majed Ghattas

6 papers receiving 348 citations

Hit Papers

Chitosan immunomodulation: ...2920232026202420254080120

Peers

Majed Ghattas
Comparison fields: 5 of 63
  • Infectious Diseases 111
  • Immunology 94
  • Molecular Biology 208
  • Pharmaceutical Science 17
  • Animal Science and Zoology 28
Replace Garima Dwivedi with:
Garima Dwivedi United States
Tingmei Zhao China
Uri Elia Israel
Juan Manuel Carreño United States
Jaclyn S. Higgins United States
Manpreet Kaur India
Katherine Schultheis United States
Armira Azuar Australia
Justine S. McPartlan United States
Kaila M. Bennett United States
Majed Ghattas relative to Garima Dwivedi United States Garima Dwivedi's profile →
Citations per field
00.5×1.5×1.9×
Garima Dwivedi · 1×
Citations per year

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

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

All Works

7 of 7 papers shown
#Work
1 20252
2
Chitosan immunomodulation: insights into mechanisms of action on immune cells and signaling pathwaysbreakdown →
202529
3 20250
4 202444
5
Adjuvant lipidoid-substituted lipid nanoparticles augment the immunogenicity of SARS-CoV-2 mRNA vaccinesbreakdown →
2023147
6 202111
7 2021118

About Majed Ghattas

Majed Ghattas is a scholar working on Microbiology, Animal Science and Zoology and Infectious Diseases, having authored 7 papers that have together received 351 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Antimicrobial Peptides and Activities (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Animal Virus Infections Studies (2 papers), Virus-based gene therapy research (1 paper), Nanocomposite Films for Food Packaging (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (111 citations), Immunology (94 citations) and Molecular Biology (208 citations). Majed Ghattas has collaborated with scholars based in United States, Canada and China. Frequent 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. Their work appears in journals such as Vaccines, Journal of Pharmaceutical Sciences, Nature Chemistry, RSC Advances and Carbohydrate Polymer Technologies and Applications.

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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