Ayelet Vardi

614 total citations
10 papers, 222 citations indexed

About

Ayelet Vardi is a scholar working on Physiology, Physiology and Cell Biology. According to data from OpenAlex, Ayelet Vardi has authored 10 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Ayelet Vardi's work include Lysosomal Storage Disorders Research (8 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). Ayelet Vardi is often cited by papers focused on Lysosomal Storage Disorders Research (8 papers), Cellular transport and secretion (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). Ayelet Vardi collaborates with scholars based in Israel, United States and United Kingdom. Ayelet Vardi's co-authors include Anthony H. Futerman, Einat B. Vitner, Hila Zigdon, Herman P. Spaink, Anna Meshcheriakova, Annemarie H. Meijer, Giulia Massaro, C.J. Kuo, Johannes M. F. G. Aerts and Marta Artola and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurochemistry and Human Molecular Genetics.

In The Last Decade

Ayelet Vardi

10 papers receiving 221 citations

Peers

Ayelet Vardi

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Josh C. Woloszynek United States

Inés Noher de Halac Argentina

Dixie‐Ann Persaud‐Sawin United States

Laura Lorioli Italy

Michelle Frascella United States

Holly P. McEwen Australia

Daphne E.C. Boer Netherlands

Михаил Николаев Russia

Andres Ortega United States

Marisa Encarnação Portugal

Josh C. Woloszynek United States

Ayelet Vardi

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84 ×1.0

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27 ×0.5

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19 ×0.5

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Citations per year, relative to Ayelet Vardi Ayelet Vardi (= 1×) peers Josh C. Woloszynek

Countries citing papers authored by Ayelet Vardi

Since Specialization

Citations

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

Fields of papers citing papers by Ayelet Vardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayelet Vardi

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

All Works

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10 of 10 papers shown

1.

Vardi, Ayelet, et al.. (2021). Proteomics analysis of a human brain sample from a mucolipidosis type IV patient reveals pathophysiological pathways. Orphanet Journal of Rare Diseases. 16(1). 39–39. 11 indexed citations

2.

Vardi, Ayelet, et al.. (2020). Mice defective in interferon signaling help distinguish between primary and secondary pathological pathways in a mouse model of neuronal forms of Gaucher disease. Journal of Neuroinflammation. 17(1). 265–265. 11 indexed citations

3.

Vardi, Ayelet, Einat B. Vitner, Hye Jung Park, et al.. (2020). Substrate reduction therapy using Genz‐667161 reduces levels of pathogenic components in a mouse model of neuronopathic forms of Gaucher disease. Journal of Neurochemistry. 156(5). 692–701. 17 indexed citations

4.

Watson, Lisa, Marcus Keatinge, Matthew E. Gegg, et al.. (2019). Ablation of the pro-inflammatory master regulator miR-155 does not mitigate neuroinflammation or neurodegeneration in a vertebrate model of Gaucher's disease. Neurobiology of Disease. 127. 563–569. 18 indexed citations

5.

Kuo, C.J., Wouter W. Kallemeijn, Mina Mirzaian, et al.. (2019). In vivo inactivation of glycosidases by conduritol B epoxide and cyclophellitol as revealed by activity‐based protein profiling. FEBS Journal. 286(3). 584–600. 42 indexed citations

6.

Vardi, Ayelet, et al.. (2018). Absence of infiltrating peripheral myeloid cells in the brains of mouse models of lysosomal storage disorders. Journal of Neurochemistry. 148(5). 625–638. 17 indexed citations

7.

Weinstock, Laura D., Shawn Herron, Dadi Gao, et al.. (2018). Fingolimod phosphate inhibits astrocyte inflammatory activity in mucolipidosis IV. Human Molecular Genetics. 27(15). 2725–2738. 20 indexed citations

8.

Körschen, Heinz G., Anke Penno, Andreas Rennhack, et al.. (2017). Identification of a feedback loop involving β-glucosidase 2 and its product sphingosine sheds light on the molecular mechanisms in Gaucher disease. Journal of Biological Chemistry. 292(15). 6177–6189. 18 indexed citations

9.

Vardi, Ayelet, Hila Zigdon, Anna Meshcheriakova, et al.. (2016). Delineating pathological pathways in a chemically induced mouse model of Gaucher disease. The Journal of Pathology. 239(4). 496–509. 51 indexed citations

10.

Vitner, Einat B., Ayelet Vardi, Timothy M. Cox, & Anthony H. Futerman. (2014). Emerging therapeutic targets for Gaucher disease. Expert Opinion on Therapeutic Targets. 19(3). 321–334. 17 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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