Kariem Ezzat

2.8k total citations
31 papers, 1.6k citations indexed

About

Kariem Ezzat is a scholar working on Molecular Biology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Kariem Ezzat has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Physiology and 5 papers in Psychiatry and Mental health. Recurrent topics in Kariem Ezzat's work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Alzheimer's disease research and treatments (9 papers). Kariem Ezzat is often cited by papers focused on RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Alzheimer's disease research and treatments (9 papers). Kariem Ezzat collaborates with scholars based in Sweden, Estonia and United Kingdom. Kariem Ezzat's co-authors include Samir EL Andaloussi, Taavi Lehto, Matthew J. A. Wood, Ülo Langel, Alberto J. Espay, Andrea Sturchio, Joana R. Viola, Staffan Lindberg, Smith Rjh and Margus Pooga and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Nano Letters.

In The Last Decade

Kariem Ezzat

30 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kariem Ezzat Sweden 20 1.3k 241 211 124 116 31 1.6k
Giulia Guidotti Italy 8 794 0.6× 88 0.4× 76 0.4× 163 1.3× 151 1.3× 9 1.1k
Mattias F. Lindberg Sweden 18 705 0.5× 111 0.5× 124 0.6× 103 0.8× 63 0.5× 29 1.1k
Christoph Patsch Switzerland 14 910 0.7× 235 1.0× 68 0.3× 56 0.5× 47 0.4× 29 1.2k
Külliki Saar Sweden 9 1.1k 0.8× 141 0.6× 57 0.3× 139 1.1× 107 0.9× 14 1.2k
Renata Battini Italy 21 1.3k 1.0× 205 0.9× 121 0.6× 20 0.2× 102 0.9× 46 1.8k
Ning Shen United States 18 1.0k 0.8× 162 0.7× 98 0.5× 51 0.4× 18 0.2× 55 1.7k
Simone Haupt Germany 16 807 0.6× 148 0.6× 40 0.2× 57 0.5× 36 0.3× 25 1.1k
Edmond Dupont France 13 573 0.4× 95 0.4× 232 1.1× 55 0.4× 39 0.3× 16 839
Anat Yanai Canada 17 1.7k 1.2× 89 0.4× 302 1.4× 37 0.3× 93 0.8× 34 2.3k

Countries citing papers authored by Kariem Ezzat

Since Specialization
Citations

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

Fields of papers citing papers by Kariem Ezzat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kariem Ezzat

This figure shows the co-authorship network connecting the top 25 collaborators of Kariem Ezzat. A scholar is included among the top collaborators of Kariem Ezzat 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 Kariem Ezzat. Kariem Ezzat 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.
Espay, Alberto J., Kariem Ezzat, Kasper P. Kepp, et al.. (2025). Restoring amyloid-β42 and γ-secretase function in Alzheimer’s disease. Brain. 148(11). 3856–3864.
2.
Straten, Demian van, et al.. (2024). Biofluid specific protein coronas affect lipid nanoparticle behavior in vitro. Journal of Controlled Release. 373. 481–492. 12 indexed citations
3.
Sych, Taras, Jan Schlegel, Hanna M. G. Barriga, et al.. (2023). High-throughput measurement of the content and properties of nano-sized bioparticles with single-particle profiler. Nature Biotechnology. 42(4). 587–590. 36 indexed citations
4.
Ezzat, Kariem & Alberto J. Espay. (2023). The allure and pitfalls of the prion-like aggregation in neurodegeneration. Handbook of clinical neurology. 193. 17–22. 2 indexed citations
5.
Espay, Alberto J., Kariem Ezzat, & Andrea Sturchio. (2021). Does the Anti‐Tau Strategy in Progressive Supranuclear Palsy Need to Be Reconsidered? Yes. Movement Disorders Clinical Practice. 8(7). 1034–1037. 2 indexed citations
6.
7.
Espay, Alberto J., David-Erick Lafontant, Kathleen L. Poston, et al.. (2021). Low soluble amyloid-β 42 is associated with smaller brain volume in Parkinson's disease. Parkinsonism & Related Disorders. 92. 15–21. 9 indexed citations
8.
Sturchio, Andrea, Alok Dwivedi, Christina B. Young, et al.. (2021). High cerebrospinal amyloid-β 42 is associated with normal cognition in individuals with brain amyloidosis. EClinicalMedicine. 38. 100988–100988. 92 indexed citations
9.
Malmberg, Maja, Tarja Malm, Oskar Gustafsson, et al.. (2020). Disentangling the Amyloid Pathways: A Mechanistic Approach to Etiology. Frontiers in Neuroscience. 14. 256–256. 23 indexed citations
10.
Ezzat, Kariem, et al.. (2019). Degradation of pristine and oxidized single wall carbon nanotubes by CYP3A4. Biochemical and Biophysical Research Communications. 515(3). 487–492. 3 indexed citations
11.
Lehto, Taavi, Kariem Ezzat, Matthew J. A. Wood, & Samir EL Andaloussi. (2016). Peptides for nucleic acid delivery. Advanced Drug Delivery Reviews. 106(Pt A). 172–182. 185 indexed citations
12.
Goyenvalle, Aurélie, Graziella Griffith, Arran Babbs, et al.. (2015). Functional correction in mouse models of muscular dystrophy using exon-skipping tricyclo-DNA oligomers. Nature Medicine. 21(3). 270–275. 240 indexed citations
13.
Padari, Kärt, Helerin Margus, Piret Arukuusk, et al.. (2015). The role of endocytosis in the uptake and intracellular trafficking of PepFect14–nucleic acid nanocomplexes via class A scavenger receptors. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(12). 3205–3216. 19 indexed citations
14.
Lindberg, Staffan I., Jakob Regberg, Jonas Eriksson, et al.. (2015). A convergent uptake route for peptide- and polymer-based nucleotide delivery systems. Journal of Controlled Release. 206. 58–66. 34 indexed citations
15.
Ezzat, Kariem, Eman M. Zaghloul, Samir EL Andaloussi, et al.. (2012). Solid formulation of cell-penetrating peptide nanocomplexes with siRNA and their stability in simulated gastric conditions. Journal of Controlled Release. 162(1). 1–8. 45 indexed citations
16.
Veiman, Kadi-Liis, Imre Mäger, Kariem Ezzat, et al.. (2012). PepFect14 Peptide Vector for Efficient Gene Delivery in Cell Cultures. Molecular Pharmaceutics. 10(1). 199–210. 78 indexed citations
17.
Ezzat, Kariem, Samir EL Andaloussi, Eman M. Zaghloul, et al.. (2011). PepFect 14, a novel cell-penetrating peptide for oligonucleotide delivery in solution and as solid formulation. Nucleic Acids Research. 39(12). 5284–5298. 183 indexed citations
18.
Lehto, Taavi, Oscar E. Simonson, Imre Mäger, et al.. (2011). A Peptide-based Vector for Efficient Gene Transfer In Vitro and In Vivo. Molecular Therapy. 19(8). 1457–1467. 85 indexed citations
19.
Lehto, Taavi, Kariem Ezzat, & Ülo Langel. (2011). Peptide Nanoparticles for Oligonucleotide Delivery. Progress in molecular biology and translational science. 104. 397–426. 14 indexed citations
20.
Ezzat, Kariem, et al.. (2010). Peptide-Based Matrices as Drug Delivery Vehicles. Current Pharmaceutical Design. 16(9). 1167–1178. 25 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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