Yair Argon

6.4k total citations
86 papers, 5.2k citations indexed

About

Yair Argon is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Yair Argon has authored 86 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 44 papers in Cell Biology and 35 papers in Immunology. Recurrent topics in Yair Argon's work include Endoplasmic Reticulum Stress and Disease (34 papers), Heat shock proteins research (20 papers) and Glycosylation and Glycoproteins Research (16 papers). Yair Argon is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (34 papers), Heat shock proteins research (20 papers) and Glycosylation and Glycoproteins Research (16 papers). Yair Argon collaborates with scholars based in United States, Australia and United Kingdom. Yair Argon's co-authors include Davide Eletto, Jeanne L. Dul, Fred J. Stevens, Tali Gidalevitz, Devin Dersh, Janis K. Burkhardt, Michał Marzec, Susan Hester, Birgitte B. Simen and Samuel Ward and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yair Argon

85 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yair Argon United States 42 3.1k 2.4k 1.3k 684 461 86 5.2k
Lars Ellgaard Denmark 37 4.7k 1.5× 4.0k 1.7× 1.2k 0.9× 1.2k 1.7× 477 1.0× 62 7.5k
Ineke Braakman Netherlands 45 5.2k 1.7× 3.7k 1.6× 1.5k 1.1× 1.4k 2.0× 619 1.3× 100 8.3k
Joseph W. Brewer United States 28 2.3k 0.7× 3.0k 1.3× 885 0.7× 1.5k 2.1× 292 0.6× 45 4.6k
Tohru Kataoka Japan 48 6.7k 2.1× 1.7k 0.7× 763 0.6× 249 0.4× 289 0.6× 122 8.2k
Yasunori Kozutsumi Japan 39 4.6k 1.5× 1.9k 0.8× 1.4k 1.1× 555 0.8× 1.2k 2.5× 89 6.5k
Roberto Testi Italy 47 4.2k 1.4× 704 0.3× 3.0k 2.2× 600 0.9× 759 1.6× 113 7.4k
Wilbert C. Boelens Netherlands 45 6.0k 1.9× 1.1k 0.5× 1.1k 0.8× 501 0.7× 761 1.7× 90 7.8k
Elizabeth Sztul United States 45 3.1k 1.0× 2.3k 1.0× 375 0.3× 846 1.2× 449 1.0× 91 5.2k
Guangwei Du United States 36 3.1k 1.0× 1.3k 0.5× 474 0.4× 281 0.4× 660 1.4× 90 4.6k
Omar A. Coso Argentina 31 5.2k 1.7× 1.8k 0.8× 1.0k 0.8× 724 1.1× 657 1.4× 65 7.9k

Countries citing papers authored by Yair Argon

Since Specialization
Citations

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

Fields of papers citing papers by Yair Argon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yair Argon

This figure shows the co-authorship network connecting the top 25 collaborators of Yair Argon. A scholar is included among the top collaborators of Yair Argon 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 Yair Argon. Yair Argon 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.
Dersh, Devin, et al.. (2016). Tay–Sachs disease mutations in HEXA target the α chain of hexosaminidase A to endoplasmic reticulum–associated degradation. Molecular Biology of the Cell. 27(24). 3813–3827. 39 indexed citations
2.
Zhai, Jinbin, Lixin Zhang, Jelena Mojsilovic-Petrovic, et al.. (2015). Inhibition of Cytohesins Protects against Genetic Models of Motor Neuron Disease. Journal of Neuroscience. 35(24). 9088–9105. 18 indexed citations
3.
Peng, Min, Julian Ostrovsky, Young Joon Kwon, et al.. (2015). Inhibiting cytosolic translation and autophagy improves health in mitochondrial disease. Human Molecular Genetics. 24(17). 4829–4847. 56 indexed citations
4.
Dersh, Devin, S. Jones, Davide Eletto, John C. Christianson, & Yair Argon. (2014). OS-9 facilitates turnover of nonnative GRP94 marked by hyperglycosylation. Molecular Biology of the Cell. 25(15). 2220–2234. 28 indexed citations
5.
Eletto, Davide, Daniela Eletto, Devin Dersh, Tali Gidalevitz, & Yair Argon. (2014). Protein Disulfide Isomerase A6 Controls the Decay of IRE1α Signaling via Disulfide-Dependent Association. Molecular Cell. 53(4). 562–576. 192 indexed citations
6.
Gidalevitz, Tali, Fred J. Stevens, & Yair Argon. (2013). Orchestration of secretory protein folding by ER chaperones. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(11). 2410–2424. 109 indexed citations
7.
Marzec, Michał, Davide Eletto, & Yair Argon. (2011). GRP94: An HSP90-like protein specialized for protein folding and quality control in the endoplasmic reticulum. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(3). 774–787. 324 indexed citations
8.
Ostrovsky, Olga, Catherine A. Makarewich, Erik L. Snapp, & Yair Argon. (2009). An essential role for ATP binding and hydrolysis in the chaperone activity of GRP94 in cells. Proceedings of the National Academy of Sciences. 106(28). 11600–11605. 56 indexed citations
9.
Ostrovsky, Olga, Noreen Ahmed, & Yair Argon. (2009). The Chaperone Activity of GRP94 Toward Insulin-like Growth Factor II Is Necessary for the Stress Response to Serum Deprivation. Molecular Biology of the Cell. 20(6). 1855–1864. 74 indexed citations
11.
Elkabetz, Yechiel, et al.. (2008). Alternative pathways of disulfide bond formation yield secretion-competent, stable and functional immunoglobulins. Molecular Immunology. 46(1). 97–105. 7 indexed citations
12.
Sriram, Uma, Chhanda Biswas, Edward M. Behrens, et al.. (2007). IL-4 Suppresses Dendritic Cell Response to Type I Interferons. The Journal of Immunology. 179(10). 6446–6455. 38 indexed citations
13.
Davis, David P., Rosemarie Raffen, Shawn M. Vogen, et al.. (2000). Inhibition of Amyloid Fiber Assembly by Both BiP and Its Target Peptide. Immunity. 13(4). 433–442. 33 indexed citations
14.
Lindesmith, Lisa C., et al.. (1997). Phosphotransferases Associated with the Regulation of Kinesin Motor Activity. Journal of Biological Chemistry. 272(36). 22929–22933. 41 indexed citations
15.
Dul, Jeanne L., et al.. (1996). Ig light chains are secreted predominantly as monomers. The Journal of Immunology. 157(7). 2969–2975. 38 indexed citations
16.
Argon, Yair, et al.. (1995). Molecular chaperones and the biosynthesis of antigen receptors. Immunology Today. 16(5). 243–250. 70 indexed citations
17.
Griffiths, Gillian M. & Yair Argon. (1995). Structure and Biogenesis of Lytic Granules. Current topics in microbiology and immunology. 198. 39–58. 63 indexed citations
18.
Dul, Jeanne L., et al.. (1994). Sequential interaction of the chaperones BiP and GRP94 with immunoglobulin chains in the endoplasmic reticulum. Nature. 370(6488). 373–375. 357 indexed citations
19.
Hester, Susan, et al.. (1993). The giant organelles in beige and Chediak-Higashi fibroblasts are derived from late endosomes and mature lysosomes.. The Journal of Experimental Medicine. 178(6). 1845–1856. 108 indexed citations
20.
Crews, Jennie R., Lisa A. Maier, Yu Yin, et al.. (1992). A combination of two immunotoxins exerts synergistic cytotoxic activity against human breast‐cancer cell lines. International Journal of Cancer. 51(5). 772–779. 14 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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