David Israeli

11.5k total citations · 2 hit papers
56 papers, 4.3k citations indexed

About

David Israeli is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, David Israeli has authored 56 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Genetics and 8 papers in Oncology. Recurrent topics in David Israeli's work include Muscle Physiology and Disorders (21 papers), RNA Research and Splicing (10 papers) and Virus-based gene therapy research (8 papers). David Israeli is often cited by papers focused on Muscle Physiology and Disorders (21 papers), RNA Research and Splicing (10 papers) and Virus-based gene therapy research (8 papers). David Israeli collaborates with scholars based in France, Israel and United States. David Israeli's co-authors include Alon Harmelin, Moshe Oren, Jotham Suez, Niv Zmora, Tal Korem, Eran Elinav, Shlomit Gilad, Christoph A. Thaiss, Ilana Kolodkin‐Gal and Zamir Halpern and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

David Israeli

54 papers receiving 4.2k citations

Hit Papers

Artificial sweeteners induce glucose... 1998 2026 2007 2016 2014 1998 400 800 1.2k

Peers

David Israeli
Peter J. Crack Australia
John R. Lukens United States
Jun R. Huh United States
Paul J. Meakin United Kingdom
David Israeli
Citations per year, relative to David Israeli David Israeli (= 1×) peers Katarzyna M. Dzięgielewska

Countries citing papers authored by David Israeli

Since Specialization
Citations

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

Fields of papers citing papers by David Israeli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Israeli

This figure shows the co-authorship network connecting the top 25 collaborators of David Israeli. A scholar is included among the top collaborators of David Israeli 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 David Israeli. David Israeli 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.
Richard, Isabelle, et al.. (2024). La microdystrophine pour le traitement de la dystrophie musculaire de Duchenne. médecine/sciences. 40. 46–51.
2.
Bourg, Nathalie, William Lostal, Nicolas Guerchet, et al.. (2022). Co-Administration of Simvastatin Does Not Potentiate the Benefit of Gene Therapy in the mdx Mouse Model for Duchenne Muscular Dystrophy. International Journal of Molecular Sciences. 23(4). 2016–2016. 9 indexed citations
3.
Israeli, David, et al.. (2022). Deciphering the Molecular Mechanism of Incurable Muscle Disease by a Novel Method for the Interpretation of miRNA Dysregulation. Non-Coding RNA. 8(4). 48–48. 2 indexed citations
4.
Richard, Isabelle, et al.. (2021). A revised model for mitochondrial dysfunction in Duchenne muscular dystrophy. European Journal of Translational Myology. 31(3). 7 indexed citations
5.
Massouridès, Emmanuelle, Nathalie Bourg, Laurence Suel, et al.. (2020). miR-379 links glucocorticoid treatment with mitochondrial response in Duchenne muscular dystrophy. Scientific Reports. 10(1). 9139–9139. 20 indexed citations
6.
Israeli, David, Jérémie Cosette, Guillaume Corre, et al.. (2019). An AAV-SGCG Dose-Response Study in a γ-Sarcoglycanopathy Mouse Model in the Context of Mechanical Stress. Molecular Therapy — Methods & Clinical Development. 13. 494–502. 21 indexed citations
7.
Laufer, Offir, David Israeli, & Rony Paz. (2016). Behavioral and Neural Mechanisms of Overgeneralization in Anxiety. Current Biology. 26(6). 713–722. 82 indexed citations
8.
Israeli, David, Nancy J. Minshew, Yoram Bonneh, et al.. (2015). Perceptual learning in autism: over-specificity and possible remedies. Nature Neuroscience. 18(11). 1574–1576. 48 indexed citations
9.
Jeanson-Leh, Laurence, Fatima Amor, Caroline Le Guiner, et al.. (2014). Serum Profiling Identifies Novel Muscle miRNA and Cardiomyopathy-Related miRNA Biomarkers in Golden Retriever Muscular Dystrophy Dogs and Duchenne Muscular Dystrophy Patients. American Journal Of Pathology. 184(11). 2885–2898. 66 indexed citations
10.
Suez, Jotham, Tal Korem, David Zeevi, et al.. (2014). Artificial sweeteners induce glucose intolerance by altering the gut microbiota. Nature. 514(7521). 181–186. 1459 indexed citations breakdown →
11.
Shinder, Vera, et al.. (2011). The Drosophila blood brain barrier is maintained by GPCR-dependent dynamic actin structures. The Journal of Cell Biology. 192(2). 307–319. 62 indexed citations
12.
Claeys, Kristl G., Jean‐Jacques Martin, Emmanuelle Lacène, et al.. (2010). DNAJB2 Expression in Normal and Diseased Human and Mouse Skeletal Muscle. American Journal Of Pathology. 176(6). 2901–2910. 18 indexed citations
13.
Gérard, Xavier, Séverine Charles, Christian Pinset, et al.. (2009). Real-time monitoring of cell transplantation in mouse dystrophic muscles by a secreted alkaline phosphatase reporter gene. Gene Therapy. 16(6). 815–819. 7 indexed citations
14.
Кириллова, И. В., et al.. (2008). FGFR4 and its novel splice form in myogenic cells: Interplay of glycosylation and tyrosine phosphorylation. Journal of Cellular Physiology. 215(3). 803–817. 24 indexed citations
15.
Israeli, David, Bernard Gjata, Rachid Benchaouir, et al.. (2007). Expression of mdr1 is required for efficient long term regeneration of dystrophic muscle. Experimental Cell Research. 313(11). 2438–2450. 3 indexed citations
16.
Elkeles, Adi, Tamar Juven‐Gershon, David Israeli, et al.. (1999). The c- fos Proto-Oncogene Is a Target for Transactivation by the p53 Tumor Suppressor. Molecular and Cellular Biology. 19(4). 2594–2600. 58 indexed citations
17.
Garcı́a, Luis, et al.. (1999). Computerised dystrophic muscle simulator: prospecting potential therapeutic strategies for muscle dystrophies using a virtual experimental Model. The Journal of Gene Medicine. 1(1). 43–55. 3 indexed citations
18.
Roperch, Jean-Pierre, Sylvie Prieur, Marcel Tuynder, et al.. (1998). Inhibition of presenilin 1 expression is promoted by p53 and p21WAF-1and results in apoptosis and tumor suppression. Nature Medicine. 4(7). 835–838. 151 indexed citations
19.
Selvaraj, N., David Israeli, & Abraham Amsterdam. (1996). Partial sequencing of the rat steroidogenic acute regulatory protein message from immortalized granulosa cells: regulation by gonadotropins and isoproterenol. Molecular and Cellular Endocrinology. 123(2). 171–177. 23 indexed citations
20.
Nedivi, Elly, et al.. (1993). Numerous candidate plasticity-related genes revealed by differential cDNA cloning. Nature. 363(6431). 718–722. 426 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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