Hay Dvir

3.2k total citations · 2 hit papers
33 papers, 2.6k citations indexed

About

Hay Dvir is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Hay Dvir has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Pharmacology. Recurrent topics in Hay Dvir's work include Computational Drug Discovery Methods (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Bacterial Genetics and Biotechnology (4 papers). Hay Dvir is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Bacterial Genetics and Biotechnology (4 papers). Hay Dvir collaborates with scholars based in Israel, United States and France. Hay Dvir's co-authors include Joel L. Sussman, Israel Silman, Michal Harel, Terrone L. Rosenberry, Andrew A. McCarthy, Lilly Toker, Senyon Choe, Ran Meged, Raimond B. G. Ravelli and Boris Brumshtein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The EMBO Journal.

In The Last Decade

Hay Dvir

33 papers receiving 2.5k citations

Hit Papers

Acetylcholinesterase: From 3D structure to function 2004 2026 2011 2018 2010 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hay Dvir Israel 19 1.2k 913 746 605 503 33 2.6k
Lilly Toker Israel 13 2.3k 1.9× 1.5k 1.7× 1.3k 1.7× 1.1k 1.8× 960 1.9× 19 4.0k
Christian Bergamini Italy 31 594 0.5× 1.3k 1.5× 366 0.5× 490 0.8× 148 0.3× 73 2.9k
Ashima Saxena United States 33 2.1k 1.7× 723 0.8× 961 1.3× 643 1.1× 1.4k 2.9× 102 3.1k
Clarence A. Broomfield United States 27 922 0.8× 735 0.8× 261 0.3× 248 0.4× 1.4k 2.9× 76 2.6k
Francisco Orallo Spain 40 1.0k 0.8× 1.3k 1.4× 344 0.5× 1.7k 2.8× 307 0.6× 106 4.6k
Mankil Jung South Korea 30 320 0.3× 1.1k 1.2× 339 0.5× 815 1.3× 333 0.7× 92 3.0k
Babu L. Tekwani United States 37 685 0.6× 1.4k 1.6× 486 0.7× 1.3k 2.2× 608 1.2× 134 4.4k
Zhili Zuo China 25 460 0.4× 796 0.9× 226 0.3× 378 0.6× 271 0.5× 101 1.8k
Samuel Estrada‐Soto Mexico 33 369 0.3× 1.3k 1.4× 225 0.3× 1.0k 1.7× 662 1.3× 136 3.2k
Arie Ordentlich Israel 34 2.3k 1.9× 1.2k 1.3× 1.3k 1.7× 738 1.2× 1.7k 3.4× 62 3.6k

Countries citing papers authored by Hay Dvir

Since Specialization
Citations

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

Fields of papers citing papers by Hay Dvir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hay Dvir

This figure shows the co-authorship network connecting the top 25 collaborators of Hay Dvir. A scholar is included among the top collaborators of Hay Dvir 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 Hay Dvir. Hay Dvir 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.
Obolensky, Alexey, Edward Averbukh, Mélissa Desrosiers, et al.. (2024). Characterization of anti-AAV2 neutralizing antibody levels in sheep prior to and following intravitreal AAV2.7m8 injection. Gene Therapy. 31(11-12). 580–586. 1 indexed citations
2.
Mopuri, Ramgopal, Alexander Rosov, Sara Yosefi, et al.. (2021). High-dose vitamin B1 therapy prevents the development of experimental fatty liver driven by overnutrition. Disease Models & Mechanisms. 14(3). 21 indexed citations
3.
Mopuri, Ramgopal, et al.. (2021). Metabolic Effects of Vitamin B1 Therapy under Overnutrition and Undernutrition Conditions in Sheep. Nutrients. 13(10). 3463–3463. 1 indexed citations
4.
Mopuri, Ramgopal, et al.. (2021). Improved Folch Method for Liver-Fat Quantification. Frontiers in Veterinary Science. 7. 594853–594853. 28 indexed citations
5.
Obolensky, Alexey, Edward Averbukh, Mélissa Desrosiers, et al.. (2021). Outer retinal transduction by AAV2-7m8 following intravitreal injection in a sheep model of CNGA3 achromatopsia. Gene Therapy. 29(10-11). 624–635. 9 indexed citations
6.
Mopuri, Ramgopal, et al.. (2020). Hyperglycemia-stimulating diet induces liver steatosis in sheep. Scientific Reports. 10(1). 12189–12189. 15 indexed citations
7.
Obolensky, Alexey, Edward Averbukh, Hen Honig, et al.. (2020). Evaluation of Photoreceptor Transduction Efficacy of Capsid-Modified Adeno-Associated Viral Vectors Following Intravitreal and Subretinal Delivery in Sheep. Human Gene Therapy. 31(13-14). 719–729. 13 indexed citations
8.
Ofri, Ron, Itzhak Aizenberg, Alexander Rosov, et al.. (2020). Naturally-occurring myopia and loss of cone function in a sheep model of achromatopsia. Scientific Reports. 10(1). 19314–19314. 8 indexed citations
10.
Weissman, Ziva, et al.. (2016). Structural basis of haem-iron acquisition by fungal pathogens. Nature Microbiology. 1(11). 16156–16156. 61 indexed citations
11.
Lansky, Shifra, Roie Dann, Hay Dvir, et al.. (2014). Purification, crystallization and preliminary crystallographic analysis of Gan1D, a GH1 6-phospho-β-galactosidase fromGeobacillus stearothermophilusT1. Acta Crystallographica Section F Structural Biology Communications. 70(2). 225–231. 10 indexed citations
12.
Dann, Roie, Shifra Lansky, Noa Lavid, et al.. (2014). Preliminary crystallographic analysis of Xyn52B2, a GH52 β-D-xylosidase fromGeobacillus stearothermophilusT6. Acta Crystallographica Section F Structural Biology Communications. 70(12). 1675–1682. 3 indexed citations
13.
Dvir, Hay, et al.. (2010). Structural Basis for Lipid-Antigen Recognition in Avian Immunity. The Journal of Immunology. 184(5). 2504–2511. 23 indexed citations
14.
Dvir, Hay, Elvira Valera, & Senyon Choe. (2010). Structure of the MthK RCK in complex with cadmium. Journal of Structural Biology. 171(2). 231–237. 12 indexed citations
15.
Dvir, Hay, Israel Silman, Michal Harel, Terrone L. Rosenberry, & Joel L. Sussman. (2010). Acetylcholinesterase: From 3D structure to function. Chemico-Biological Interactions. 187(1-3). 10–22. 606 indexed citations breakdown →
16.
Dvir, Hay & Senyon Choe. (2009). Bacterial expression of a eukaryotic membrane protein in fusion to various Mistic orthologs. Protein Expression and Purification. 68(1). 28–33. 23 indexed citations
17.
Aryal, Prafulla, Hay Dvir, Senyon Choe, & Paul A. Slesinger. (2009). A discrete alcohol pocket involved in GIRK channel activation. Nature Neuroscience. 12(8). 988–995. 128 indexed citations
18.
Harel, Michal, Amir Aharoni, Leonid Gaidukov, et al.. (2004). Structure and evolution of the serum paraoxonase family of detoxifying and anti-atherosclerotic enzymes. Nature Structural & Molecular Biology. 11(5). 412–419. 501 indexed citations breakdown →
19.
Greenblatt, Harry M., Hay Dvir, Israel Silman, & Joel L. Sussman. (2003). Acetylcholinesterase: A Multifaceted Target for Structure-Based Drug Design of Anticholinesterase Agents for the Treatment of Alzheimer's Disease. Journal of Molecular Neuroscience. 20(3). 369–384. 97 indexed citations
20.
Dvir, Hay, Michal Harel, Andrew A. McCarthy, et al.. (2003). X‐ray structure of human acid‐β‐glucosidase, the defective enzyme in Gaucher disease. EMBO Reports. 4(7). 704–709. 217 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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