Gai Ayalon

3.5k total citations · 2 hit papers
17 papers, 2.1k citations indexed

About

Gai Ayalon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Gai Ayalon has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Gai Ayalon's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Muscle Physiology and Disorders (3 papers). Gai Ayalon is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Muscle Physiology and Disorders (3 papers). Gai Ayalon collaborates with scholars based in United States, France and Israel. Gai Ayalon's co-authors include Yael Stern-Bach, Geoffrey A. Kerchner, Fang Cai, Tushar Bhangale, Andrew Singleton, Baris Bingol, Mike A. Nalls, Morgan Sheng, David A. Hinds and Diana Chang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

Gai Ayalon

17 papers receiving 2.1k citations

Hit Papers

A meta-analysis of genome-wide association studies identi... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gai Ayalon United States 13 991 799 619 586 548 17 2.1k
Mohamed H. Farah United States 21 1.5k 1.5× 1.0k 1.3× 904 1.5× 616 1.1× 587 1.1× 38 3.3k
Koen Bossers Netherlands 25 1.2k 1.2× 629 0.8× 895 1.4× 772 1.3× 285 0.5× 32 2.6k
Emma L. Scotter New Zealand 24 1.2k 1.2× 545 0.7× 403 0.7× 609 1.0× 1.3k 2.4× 48 2.7k
Sonia Franciosi Canada 26 1.0k 1.1× 869 1.1× 357 0.6× 374 0.6× 334 0.6× 63 2.0k
An Snellinx Belgium 16 1.1k 1.1× 465 0.6× 776 1.3× 298 0.5× 320 0.6× 24 2.0k
Mariaelena Repici Italy 19 924 0.9× 629 0.8× 336 0.5× 291 0.5× 287 0.5× 37 1.9k
Terina N. Martinez United States 15 748 0.8× 610 0.8× 569 0.9× 507 0.9× 1.2k 2.2× 18 2.1k
Joseph W. Lewcock United States 24 1.3k 1.3× 1.1k 1.3× 333 0.5× 395 0.7× 223 0.4× 35 2.6k
Séverine Bégard France 26 1.5k 1.5× 861 1.1× 1.6k 2.6× 621 1.1× 299 0.5× 42 2.8k
Linda Moran United Kingdom 19 574 0.6× 713 0.9× 294 0.5× 558 1.0× 810 1.5× 39 1.8k

Countries citing papers authored by Gai Ayalon

Since Specialization
Citations

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

Fields of papers citing papers by Gai Ayalon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gai Ayalon

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

All Works

17 of 17 papers shown
1.
Budayeva, Hanna G., et al.. (2022). Phosphoproteome Profiling of the Receptor Tyrosine Kinase MuSK Identifies Tyrosine Phosphorylation of Rab GTPases. Molecular & Cellular Proteomics. 21(4). 100221–100221. 6 indexed citations
2.
Brendza, Robert P., Xiaoying Gao, Kimberly L. Stark, et al.. (2022). Anti-α-synuclein c-terminal antibodies block PFF uptake and accumulation of phospho-synuclein in preclinical models of Parkinson's disease. Neurobiology of Disease. 177. 105969–105969. 7 indexed citations
3.
Feng, Zhihua, Arundhati Sengupta Ghosh, Karen Chen, et al.. (2021). Activation of Muscle-Specific Kinase (MuSK) Reduces Neuromuscular Defects in the Delta7 Mouse Model of Spinal Muscular Atrophy (SMA). International Journal of Molecular Sciences. 22(15). 8015–8015. 14 indexed citations
4.
Bohórquez, Sandra Sanabria, Jan Mařı́k, Annie Ogasawara, et al.. (2019). [18F]GTP1 (Genentech Tau Probe 1), a radioligand for detecting neurofibrillary tangle tau pathology in Alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 46(10). 2077–2089. 82 indexed citations
5.
DiCara, Danielle, Ruby L.Y. Chan, James A. Ernst, et al.. (2018). High-throughput screening of antibody variants for chemical stability: identification of deamidation-resistant mutants. mAbs. 10(7). 1–11. 17 indexed citations
6.
Chen, Hsu-Hsin, Peter Liu, Seung-Hye Lee, et al.. (2018). Calpain-mediated tau fragmentation is altered in Alzheimer’s disease progression. Scientific Reports. 8(1). 16725–16725. 37 indexed citations
7.
Friedman, Brad A., Karpagam Srinivasan, Gai Ayalon, et al.. (2018). Diverse Brain Myeloid Expression Profiles Reveal Distinct Microglial Activation States and Aspects of Alzheimer’s Disease Not Evident in Mouse Models. Cell Reports. 22(3). 832–847. 445 indexed citations breakdown →
8.
Kerchner, Geoffrey A., Gai Ayalon, Flávia Brunstein, et al.. (2017). [O2–17–03]: A PHASE I STUDY TO EVALUATE THE SAFETY AND TOLERABILITY OF RO7105705 IN HEALTHY VOLUNTEERS AND PATIENTS WITH MILD‐TO‐MODERATE AD. Alzheimer s & Dementia. 13(7S_Part_12). 10 indexed citations
9.
Chang, Diana, Mike A. Nalls, Ingileif B. Hallgrímsdóttir, et al.. (2017). A meta-analysis of genome-wide association studies identifies 17 new Parkinson's disease risk loci. Nature Genetics. 49(10). 1511–1516. 772 indexed citations breakdown →
10.
Reichelt, Mike, Travis W. Bainbridge, Racquel Corpuz, et al.. (2017). Identification and Characterization of Reconstituted α-Synuclein, Amyloid-β and Tau Fibrils by Immunogold Negative Staining Electron Microscopy. Microscopy and Microanalysis. 23(S1). 1312–1313. 1 indexed citations
11.
Bohórquez, Sandra Sanabria, Olivier Barret, Gilles Tamagnan, et al.. (2016). P4‐351: Evaluation of TAU Burden in a Cross‐Sectional Cohort of Alzheimer’S Disease Subjects Using [18F]GTP1 (GENENTECH TAU PROBE 1). Alzheimer s & Dementia. 12(7S_Part_24). 14 indexed citations
12.
Pozniak, Christine D., Arundhati Sengupta Ghosh, Alvin Gogineni, et al.. (2013). Dual leucine zipper kinase is required for excitotoxicity-induced neuronal degeneration. The Journal of Experimental Medicine. 210(12). 2553–2567. 69 indexed citations
13.
Ayalon, Gai, et al.. (2010). Ankyrin-B Interactions with Spectrin and Dynactin-4 Are Required for Dystrophin-based Protection of Skeletal Muscle from Exercise Injury. Journal of Biological Chemistry. 286(9). 7370–7378. 42 indexed citations
14.
Ayalon, Gai, Jonathan Q. Davis, Paula Scotland, & Vann Bennett. (2008). An Ankyrin-Based Mechanism for Functional Organization of Dystrophin and Dystroglycan. Cell. 135(7). 1189–1200. 110 indexed citations
15.
Ayalon, Gai, Eitan Segev, Sharona Elgavish, & Yael Stern-Bach. (2005). Two Regions in the N-terminal Domain of Ionotropic Glutamate Receptor 3 Form the Subunit Oligomerization Interfaces That Control Subtype-specific Receptor Assembly. Journal of Biological Chemistry. 280(15). 15053–15060. 54 indexed citations
16.
Priel, Avi, et al.. (2005). Stargazin Reduces Desensitization and Slows Deactivation of the AMPA-Type Glutamate Receptors. Journal of Neuroscience. 25(10). 2682–2686. 206 indexed citations
17.
Ayalon, Gai & Yael Stern-Bach. (2001). Functional Assembly of AMPA and Kainate Receptors Is Mediated by Several Discrete Protein-Protein Interactions. Neuron. 31(1). 103–113. 200 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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