Kai K. Ewert

4.0k total citations
77 papers, 3.3k citations indexed

About

Kai K. Ewert is a scholar working on Molecular Biology, Genetics and Biomaterials. According to data from OpenAlex, Kai K. Ewert has authored 77 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 19 papers in Genetics and 18 papers in Biomaterials. Recurrent topics in Kai K. Ewert's work include RNA Interference and Gene Delivery (58 papers), Advanced biosensing and bioanalysis techniques (43 papers) and Virus-based gene therapy research (19 papers). Kai K. Ewert is often cited by papers focused on RNA Interference and Gene Delivery (58 papers), Advanced biosensing and bioanalysis techniques (43 papers) and Virus-based gene therapy research (19 papers). Kai K. Ewert collaborates with scholars based in United States, Germany and Estonia. Kai K. Ewert's co-authors include Cyrus R. Safinya, Heather M. Evans, Ayesha Ahmad, Nathan F. Bouxsein, Cecília Leal, Ramsey N. Majzoub, Charles E. Samuel, Alexandra Zidovska, Christopher S. McAllister and Rahau S. Shirazi and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Kai K. Ewert

73 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai K. Ewert United States 34 2.6k 656 526 433 234 77 3.3k
Luda S. Shlyakhtenko United States 37 2.8k 1.1× 266 0.4× 274 0.5× 551 1.3× 199 0.9× 78 4.2k
Éric Vivès France 27 5.4k 2.1× 653 1.0× 1.2k 2.2× 356 0.8× 735 3.1× 64 6.3k
Ismail M. Hafez Canada 16 2.5k 1.0× 407 0.6× 270 0.5× 412 1.0× 358 1.5× 22 3.1k
Jonas R. Henriksen Denmark 26 1.7k 0.6× 703 1.1× 171 0.3× 735 1.7× 181 0.8× 57 2.6k
Margus Pooga Estonia 39 4.3k 1.7× 407 0.6× 732 1.4× 225 0.5× 496 2.1× 102 4.8k
Claude Malvy France 29 2.3k 0.9× 333 0.5× 288 0.5× 291 0.7× 119 0.5× 87 3.0k
Yuen Yi C. Tam Canada 32 3.5k 1.4× 489 0.7× 326 0.6× 444 1.0× 478 2.0× 44 4.2k
Dražen Raucher United States 32 2.1k 0.8× 1.1k 1.6× 829 1.6× 831 1.9× 282 1.2× 72 4.3k
Sílvia Pujals Spain 32 1.7k 0.7× 796 1.2× 179 0.3× 609 1.4× 189 0.8× 67 2.9k
Ilya Koltover United States 16 2.8k 1.1× 315 0.5× 424 0.8× 455 1.1× 130 0.6× 26 3.7k

Countries citing papers authored by Kai K. Ewert

Since Specialization
Citations

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

Fields of papers citing papers by Kai K. Ewert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai K. Ewert. 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 Kai K. Ewert. The network helps show where Kai K. Ewert may publish in the future.

Co-authorship network of co-authors of Kai K. Ewert

This figure shows the co-authorship network connecting the top 25 collaborators of Kai K. Ewert. A scholar is included among the top collaborators of Kai K. Ewert 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 Kai K. Ewert. Kai K. Ewert 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
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Steffes, Victoria M., Scott MacDonald, John Crowe, et al.. (2023). Lipids with negative spontaneous curvature decrease the solubility of the cancer drug paclitaxel in liposomes. The European Physical Journal E. 46(12). 128–128. 2 indexed citations
4.
Steffes, Victoria M., Zhening Zhang, Kai K. Ewert, & Cyrus R. Safinya. (2023). Cryo-TEM Reveals the Influence of Multivalent Charge and PEGylation on Shape Transitions in Fluid Lipid Assemblies: From Vesicles to Discs, Rods, and Spheres. Langmuir. 39(50). 18424–18436. 6 indexed citations
5.
Ewert, Kai K., et al.. (2021). Exosomes are secreted at similar densities by M21 and PC3 human cancer cells and show paclitaxel solubility. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(4). 183841–183841. 8 indexed citations
6.
Bouxsein, Nathan F., Cecília Leal, Christopher S. McAllister, et al.. (2019). 3D Columnar Phase of Stacked Short DNA Organized by Coherent Membrane Undulations. Langmuir. 35(36). 11891–11901. 2 indexed citations
7.
Wonder, Emily, Ramsey N. Majzoub, Kai K. Ewert, et al.. (2016). Optimization of Peptide-Tagged Cationic Lipid Nanoparticles for Targeted Gene Delivery. Biophysical Journal. 110(3). 41a–41a. 2 indexed citations
8.
Majzoub, Ramsey N., Kai K. Ewert, & Cyrus R. Safinya. (2016). Quantitative Intracellular Localization of Cationic Lipid–Nucleic Acid Nanoparticles with Fluorescence Microscopy. Methods in molecular biology. 1445. 77–108. 7 indexed citations
9.
Safinya, Cyrus R., et al.. (2015). The effect of multivalent cations and Tau on paclitaxel-stabilized microtubule assembly, disassembly, and structure. Advances in Colloid and Interface Science. 232. 9–16. 11 indexed citations
10.
Shirazi, Rahau S., Kai K. Ewert, Cecília Leal, et al.. (2011). Synthesis and characterization of degradable multivalent cationic lipids with disulfide-bond spacers for gene delivery. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(9). 2156–2166. 63 indexed citations
11.
Ewert, Kai K., Alexandra Zidovska, Ayesha Ahmad, et al.. (2010). Cationic Liposome–Nucleic Acid Complexes for Gene Delivery and Silencing: Pathways and Mechanisms for Plasmid DNA and siRNA. Topics in current chemistry. 296. 191–226. 133 indexed citations
12.
Leal, Cecília, Nathan F. Bouxsein, Kai K. Ewert, & Cyrus R. Safinya. (2009). Gene Silencing Activity of siRNA Embedded in a Bicontinuous Lipid Matrix. Biophysical Journal. 96(3). 450a–450a. 3 indexed citations
13.
Zidovska, Alexandra, Kai K. Ewert, Joel Quispe, et al.. (2009). The effect of salt and pH on block liposomes studied by cryogenic transmission electron microscopy. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(9). 1869–1876. 14 indexed citations
14.
Ewert, Kai K., Ayesha Ahmad, Nathan F. Bouxsein, Heather M. Evans, & Cyrus R. Safinya. (2008). Non-Viral Gene Delivery with Cationic Liposome–DNA Complexes. Methods in molecular biology. 433. 159–175. 57 indexed citations
15.
Ewert, Kai K., Heather M. Evans, Ayesha Ahmad, et al.. (2005). Lipoplex Structures and Their Distinct Cellular Pathways. Advances in genetics. 53. 119–155. 44 indexed citations
16.
Ewert, Kai K., Heather M. Evans, Ayesha Ahmad, et al.. (2005). New Dendritic Lipids for Improved Gene Delivery by Cationic Liposome-DNA Complexes. Bulletin of the American Physical Society. 1 indexed citations
17.
Needleman, Daniel, Miguel A. Ojeda-López, Uri Raviv, et al.. (2005). Radial Compression of Microtubules and the Mechanism of Action of Taxol and Associated Proteins. Biophysical Journal. 89(5). 3410–3423. 67 indexed citations
18.
Needleman, Daniel, Miguel A. Ojeda-López, Kai K. Ewert, et al.. (2004). Microtubules Buckling and Bundling under Osmotic Stress: A Synchrotron X-ray Diffraction Study Probing Inter-Protofilament Bond Strength. APS March Meeting Abstracts. 2004. 1 indexed citations
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Evans, Heather M., Ayesha Ahmad, Kai K. Ewert, et al.. (2003). Structural polymorphism of DNA-dendrimer complexes. Physical Review Letters. 91(7). 75501–75501. 84 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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