Ido Azuri

1.2k total citations
22 papers, 789 citations indexed

About

Ido Azuri is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Ido Azuri has authored 22 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 5 papers in Atomic and Molecular Physics, and Optics and 4 papers in Molecular Biology. Recurrent topics in Ido Azuri's work include 2D Materials and Applications (4 papers), Advanced Chemical Physics Studies (4 papers) and Graphene research and applications (3 papers). Ido Azuri is often cited by papers focused on 2D Materials and Applications (4 papers), Advanced Chemical Physics Studies (4 papers) and Graphene research and applications (3 papers). Ido Azuri collaborates with scholars based in Israel, United States and Luxembourg. Ido Azuri's co-authors include Leeor Kronik, Oded Hod, Itai Leven, Ehud Gazit, Lihi Adler‐Abramovich, Sidney Cohen, Andrew M. Rappe, David Ehre, Elena Meirzadeh and Igor Lubomirsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Ido Azuri

22 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ido Azuri Israel 14 400 199 159 148 144 22 789
Sara Jabbari‐Farouji Netherlands 16 460 1.1× 188 0.9× 70 0.4× 90 0.6× 148 1.0× 36 876
Matthew F. Paige Canada 19 433 1.1× 185 0.9× 173 1.1× 259 1.8× 201 1.4× 76 1.1k
Mikhail Merzlyakov United States 24 478 1.2× 173 0.9× 86 0.5× 505 3.4× 141 1.0× 44 1.3k
Ozzy Mermut Canada 12 174 0.4× 123 0.6× 251 1.6× 212 1.4× 273 1.9× 45 921
Nolan B. Holland United States 18 483 1.2× 241 1.2× 416 2.6× 282 1.9× 340 2.4× 25 1.6k
Xiaolong Zheng China 20 577 1.4× 182 0.9× 63 0.4× 334 2.3× 170 1.2× 43 1.2k
Maria Ricci United Kingdom 13 178 0.4× 171 0.9× 238 1.5× 582 3.9× 423 2.9× 16 1.2k
Sebastián A. Thompson United States 14 407 1.0× 52 0.3× 99 0.6× 206 1.4× 357 2.5× 26 865
Víctor Pacheco Germany 14 201 0.5× 44 0.2× 109 0.7× 286 1.9× 122 0.8× 25 1.2k
Amanda B. Marciel United States 16 462 1.2× 329 1.7× 68 0.4× 579 3.9× 207 1.4× 34 1.6k

Countries citing papers authored by Ido Azuri

Since Specialization
Citations

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

Fields of papers citing papers by Ido Azuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ido Azuri

This figure shows the co-authorship network connecting the top 25 collaborators of Ido Azuri. A scholar is included among the top collaborators of Ido Azuri 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 Ido Azuri. Ido Azuri 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.
Rosenhek‐Goldian, Irit, Nir Kampf, Marcos Penedo, et al.. (2025). Deep learning for enhancement of low-resolution and noisy scanning probe microscopy images. Beilstein Journal of Nanotechnology. 16. 1129–1140. 1 indexed citations
2.
Azuri, Ido, Yaron Caspi, Yaakov Applbaum, et al.. (2023). A Deep-Learning Approach to Spleen Volume Estimation in Patients with Gaucher Disease. Journal of Clinical Medicine. 12(16). 5361–5361. 2 indexed citations
3.
Karam, Paula Abou, Irit Rosenhek‐Goldian, Tamar Ziv, et al.. (2022). Malaria parasites release vesicle subpopulations with signatures of different destinations. EMBO Reports. 23(7). e54755–e54755. 28 indexed citations
4.
Azuri, Ido, et al.. (2022). Hidden signatures of early fire at Evron Quarry (1.0 to 0.8 Mya). Proceedings of the National Academy of Sciences. 119(25). e2123439119–e2123439119. 12 indexed citations
5.
Azuri, Ido, Irit Rosenhek‐Goldian, Neta Regev‐Rudzki, Georg E. Fantner, & Sidney Cohen. (2021). The role of convolutional neural networks in scanning probe microscopy: a review. Beilstein Journal of Nanotechnology. 12. 878–901. 27 indexed citations
6.
Shreberk‐Shaked, Michal, Bareket Dassa, Sanju Sinha, et al.. (2020). A Division of Labor between YAP and TAZ in Non–Small Cell Lung Cancer. Cancer Research. 80(19). 4145–4157. 50 indexed citations
7.
Agam, Aviad, Ido Azuri, Iddo Pinkas, Avi Gopher, & Filipe Natálio. (2020). Publisher Correction: Estimating temperatures of heated Lower Palaeolithic flint artefacts. Nature Human Behaviour. 4(12). 1322–1322. 3 indexed citations
8.
Agam, Aviad, Ido Azuri, Iddo Pinkas, Avi Gopher, & Filipe Natálio. (2020). Estimating temperatures of heated Lower Palaeolithic flint artefacts. Nature Human Behaviour. 5(2). 221–228. 14 indexed citations
9.
Basavalingappa, Vasantha, Santu Bera, Bin Xue, et al.. (2019). Mechanically rigid supramolecular assemblies formed from an Fmoc-guanine conjugated peptide nucleic acid. Nature Communications. 10(1). 5256–5256. 29 indexed citations
10.
Ouyang, Wengen, Ido Azuri, Davide Mandelli, et al.. (2019). Mechanical and Tribological Properties of Layered Materials under High Pressure: Assessing the Importance of Many-Body Dispersion Effects. Journal of Chemical Theory and Computation. 16(1). 666–676. 58 indexed citations
11.
Azuri, Ido, Anna K. H. Hirsch, Anthony M. Reilly, et al.. (2018). THz Spectroscopy of 2,4,6-trinitrotoluene Molecular Solids from First Principles. Bulletin of the American Physical Society. 2018. 1 indexed citations
12.
Azuri, Ido, Anna K. H. Hirsch, Anthony M. Reilly, et al.. (2018). Terahertz spectroscopy of 2,4,6-trinitrotoluene molecular solids from first principles. Beilstein Journal of Organic Chemistry. 14. 381–388. 10 indexed citations
13.
Adler‐Abramovich, Lihi, Zohar A. Arnon, XiaoMeng Sui, et al.. (2018). Bionanostructures: Bioinspired Flexible and Tough Layered Peptide Crystals (Adv. Mater. 5/2018). Advanced Materials. 30(5). 1 indexed citations
14.
Leven, Itai, et al.. (2017). Interlayer Potential for Homogeneous Graphene and Hexagonal Boron Nitride Systems: Reparametrization for Many-Body Dispersion Effects. The Journal of Physical Chemistry C. 121(41). 22826–22835. 65 indexed citations
15.
Adler‐Abramovich, Lihi, Zohar A. Arnon, XiaoMeng Sui, et al.. (2017). Bioinspired Flexible and Tough Layered Peptide Crystals. Advanced Materials. 30(5). 38 indexed citations
16.
Meirzadeh, Elena, Ido Azuri, Yubo Qi, et al.. (2016). Origin and structure of polar domains in doped molecular crystals. Nature Communications. 7(1). 13351–13351. 41 indexed citations
17.
Leven, Itai, et al.. (2016). Interlayer Potential for Graphene/h-BN Heterostructures. Journal of Chemical Theory and Computation. 12(6). 2896–2905. 119 indexed citations
18.
Azuri, Ido, Elena Meirzadeh, David Ehre, et al.. (2015). Unusually Large Young’s Moduli of Amino Acid Molecular Crystals. Angewandte Chemie International Edition. 54(46). 13566–13570. 95 indexed citations
19.
Azuri, Ido, Elena Meirzadeh, David Ehre, et al.. (2015). Unusually Large Young’s Moduli of Amino Acid Molecular Crystals. Angewandte Chemie. 127(46). 13770–13774. 15 indexed citations
20.
Hirsch, Anna K. H., Ido Azuri, Lia Addadi, et al.. (2014). Infrared Absorption Spectrum of Brushite from First Principles. Chemistry of Materials. 26(9). 2934–2942. 46 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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