Ariel Angel

1.0k total citations · 1 hit paper
9 papers, 792 citations indexed

About

Ariel Angel is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Ariel Angel has authored 9 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Physiology. Recurrent topics in Ariel Angel's work include Extracellular vesicles in disease (2 papers), Alzheimer's disease research and treatments (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). Ariel Angel is often cited by papers focused on Extracellular vesicles in disease (2 papers), Alzheimer's disease research and treatments (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). Ariel Angel collaborates with scholars based in Israel, United States and India. Ariel Angel's co-authors include Daniel Offen, Nisim Perets, Oshra Betzer, Rachela Popovtzer, Tamar Sadan, Gal Yadid, Menachem Motiei, Uri Ashery, Yael Barhum and Nirit Lev and has published in prestigious journals such as Nano Letters, ACS Nano and Scientific Reports.

In The Last Decade

Ariel Angel

9 papers receiving 785 citations

Hit Papers

Golden Exosomes Selectively Target Brain Pathologies in N... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel Angel Israel 7 606 285 142 98 72 9 792
Hong Cheng China 21 513 0.8× 340 1.2× 124 0.9× 127 1.3× 60 0.8× 36 919
Elizabeth E. Wicks United States 8 351 0.6× 235 0.8× 169 1.2× 121 1.2× 67 0.9× 12 718
Shouji Zhang China 12 429 0.7× 253 0.9× 83 0.6× 40 0.4× 45 0.6× 14 690
Qindong Guo China 12 565 0.9× 375 1.3× 110 0.8× 59 0.6× 49 0.7× 19 815
Qiang Cai China 16 320 0.5× 157 0.6× 96 0.7× 80 0.8× 91 1.3× 56 792
Jae-Jun Ban South Korea 11 640 1.1× 345 1.2× 63 0.4× 55 0.6× 52 0.7× 20 968
Vladimir A. Ljubimov United States 11 264 0.4× 123 0.4× 109 0.8× 179 1.8× 89 1.2× 20 781
Yuan‐Bo Pan China 14 254 0.4× 140 0.5× 135 1.0× 42 0.4× 39 0.5× 23 589
Paolo Rosa Italy 14 334 0.6× 112 0.4× 96 0.7× 27 0.3× 45 0.6× 40 657
Heather M. Ames United States 16 411 0.7× 208 0.7× 68 0.5× 64 0.7× 42 0.6× 27 811

Countries citing papers authored by Ariel Angel

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Angel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Angel

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

All Works

9 of 9 papers shown
1.
Vit, Jean‐Philippe, Dieu‐Trang Fuchs, Ariel Angel, et al.. (2021). Color and contrast vision in mouse models of aging and Alzheimer’s disease using a novel visual-stimuli four-arm maze. Scientific Reports. 11(1). 1255–1255. 11 indexed citations
2.
Angel, Ariel, et al.. (2020). Caspase-6 Knockout in the 5xFAD Model of Alzheimer’s Disease Reveals Favorable Outcome on Memory and Neurological Hallmarks. International Journal of Molecular Sciences. 21(3). 1144–1144. 25 indexed citations
3.
Perets, Nisim, Oshra Betzer, Ariel Angel, et al.. (2019). Golden Exosomes Selectively Target Brain Pathologies in Neurodegenerative and Neurodevelopmental Disorders. Nano Letters. 19(6). 3422–3431. 320 indexed citations breakdown →
4.
Angel, Ariel, et al.. (2019). The Role of MAPK's Signaling in Mediating ApoE4-Driven Pathology In Vivo. Current Alzheimer Research. 16(4). 281–292. 10 indexed citations
5.
Ben‐Zur, Tali, et al.. (2018). Combined Gene Therapy to Reduce the Neuronal Damage in the Mouse Model of Focal Ischemic Injury. Journal of Molecular Neuroscience. 66(2). 180–187. 5 indexed citations
6.
Offen, Daniel, Ariel Angel, & Tali Ben‐Zur. (2018). Caspase-6 knock-out using CRISPR/Cas9 improves cognitive behavior in the 3xTg mouse model of Alzheimer's disease. Cytotherapy. 20(5). S94–S95. 6 indexed citations
7.
Fellner, Avi, Yael Barhum, Ariel Angel, et al.. (2017). Toll-Like Receptor-4 Inhibitor TAK-242 Attenuates Motor Dysfunction and Spinal Cord Pathology in an Amyotrophic Lateral Sclerosis Mouse Model. International Journal of Molecular Sciences. 18(8). 1666–1666. 43 indexed citations
8.
Betzer, Oshra, Nisim Perets, Ariel Angel, et al.. (2017). In Vivo Neuroimaging of Exosomes Using Gold Nanoparticles. ACS Nano. 11(11). 10883–10893. 331 indexed citations
9.
Frank, James A., George Su, Melissa H. Pespeni, et al.. (2006). Activation of the stress protein response prevents the development of pulmonary edema by inhibiting VEGF cell signaling in a model of lung ischemia‐reperfusion injury in rats. The FASEB Journal. 20(9). 1519–1521. 41 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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