Limor Avrahami

6.6k total citations
9 papers, 484 citations indexed

About

Limor Avrahami is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Limor Avrahami has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Limor Avrahami's work include Wnt/β-catenin signaling in development and cancer (5 papers), Alzheimer's disease research and treatments (3 papers) and Cellular transport and secretion (3 papers). Limor Avrahami is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (5 papers), Alzheimer's disease research and treatments (3 papers) and Cellular transport and secretion (3 papers). Limor Avrahami collaborates with scholars based in Israel, United States and Poland. Limor Avrahami's co-authors include Hagit Eldar-Finkelman, Dorit Farfara, Dan Frenkel, Robert Vassar, Miriam Eisenstein, Aviva Katz, Inbar Azoulay‐Alfaguter, Batya Plotkin, Lilach Vaks and James R. Woodgett and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and FEBS Letters.

In The Last Decade

Limor Avrahami

9 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Limor Avrahami Israel	8	268	164	107	71	64	9	484
Elena Gavilán Spain	12	205 0.8×	95 0.6×	90 0.8×	39 0.5×	98 1.5×	21	403
Chul-Woong Chung South Korea	7	229 0.9×	178 1.1×	125 1.2×	132 1.9×	158 2.5×	7	460
Nsikan Akpan United States	9	252 0.9×	92 0.6×	65 0.6×	90 1.3×	34 0.5×	10	416
Gloria M. Palomo Spain	8	300 1.1×	93 0.6×	143 1.3×	107 1.5×	78 1.2×	11	537
Dae-Hoon Lee South Korea	8	291 1.1×	144 0.9×	54 0.5×	68 1.0×	157 2.5×	9	474
Huikyong Lee South Korea	8	191 0.7×	115 0.7×	161 1.5×	111 1.6×	188 2.9×	8	396
Anne-Sophie Gay France	10	214 0.8×	155 0.9×	74 0.7×	43 0.6×	77 1.2×	15	349
Sang‐Won Min United States	4	207 0.8×	246 1.5×	104 1.0×	63 0.9×	48 0.8×	4	514

Countries citing papers authored by Limor Avrahami

Since Specialization

Citations

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

Fields of papers citing papers by Limor Avrahami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limor Avrahami

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

All Works

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9 of 9 papers shown

Farfara, Dorit, Limor Avrahami, Dorit Trudler, et al.. (2023). Physiological expression of mutated TAU impaired astrocyte activity and exacerbates β-amyloid pathology in 5xFAD mice. Journal of Neuroinflammation. 20(1). 174–174. 7 indexed citations

Avrahami, Limor, et al.. (2020). GSK-3-TSC axis governs lysosomal acidification through autophagy and endocytic pathways. Cellular Signalling. 71. 109597–109597. 19 indexed citations

Vaks, Lilach, et al.. (2016). A unique type of GSK-3 inhibitor brings new opportunities to the clinic. Science Signaling. 9(454). ra110–ra110. 59 indexed citations

Azoulay‐Alfaguter, Inbar, et al.. (2014). Combined regulation of mTORC1 and lysosomal acidification by GSK-3 suppresses autophagy and contributes to cancer cell growth. Oncogene. 34(35). 4613–4623. 83 indexed citations

Avrahami, Limor, et al.. (2013). GSK-3 inhibition: Achieving moderate efficacy with high selectivity. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(7). 1410–1414. 37 indexed citations

Avrahami, Limor & Hagit Eldar-Finkelman. (2013). GSK-3 and lysosomes meet in Alzheimer’s disease. Communicative & Integrative Biology. 6(5). e25179–e25179. 6 indexed citations

Avrahami, Limor, et al.. (2012). Inhibition of Glycogen Synthase Kinase-3 Ameliorates β-Amyloid Pathology and Restores Lysosomal Acidification and Mammalian Target of Rapamycin Activity in the Alzheimer Disease Mouse Model. Journal of Biological Chemistry. 288(2). 1295–1306. 192 indexed citations

Pietrokovski, Shmuel, Limor Avrahami, Oksana Kaidanovich‐Beilin, et al.. (2011). Selective loss of glycogen synthase kinase-3α in birds reveals distinct roles for GSK-3 isozymes in tau phosphorylation. FEBS Letters. 585(8). 1158–1162. 41 indexed citations

Avrahami, Limor, Saskia M. Maas, Metsada Pasmanik‐Chor, et al.. (2008). Autosomal recessive ichthyosis with hypotrichosis syndrome: further delineation of the phenotype. Clinical Genetics. 74(1). 47–53. 40 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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