Roy Beck

2.6k total citations
82 papers, 2.0k citations indexed

About

Roy Beck is a scholar working on Molecular Biology, Biomaterials and Condensed Matter Physics. According to data from OpenAlex, Roy Beck has authored 82 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 23 papers in Biomaterials and 17 papers in Condensed Matter Physics. Recurrent topics in Roy Beck's work include Skin and Cellular Biology Research (14 papers), Physics of Superconductivity and Magnetism (14 papers) and Supramolecular Self-Assembly in Materials (14 papers). Roy Beck is often cited by papers focused on Skin and Cellular Biology Research (14 papers), Physics of Superconductivity and Magnetism (14 papers) and Supramolecular Self-Assembly in Materials (14 papers). Roy Beck collaborates with scholars based in Israel, United States and Germany. Roy Beck's co-authors include Micha Kornreich, Ram Avinery, Rona Shaharabani, Adi Laser-Azogui, Cyrus R. Safinya, Joanna Deek, Roey J. Amir, Assaf J. Harnoy, Einat Tirosh and Ehud Gazit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Roy Beck

79 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Beck Israel 26 621 532 399 370 344 82 2.0k
Thorsten Auth Germany 22 762 1.2× 276 0.5× 383 1.0× 128 0.3× 355 1.0× 39 2.0k
Youli Li United States 27 718 1.2× 612 1.2× 70 0.2× 375 1.0× 584 1.7× 103 2.5k
P. Ziherl Slovenia 25 422 0.7× 135 0.3× 369 0.9× 290 0.8× 932 2.7× 77 2.2k
Anđela Šarić United Kingdom 26 1.8k 2.8× 452 0.8× 288 0.7× 156 0.4× 402 1.2× 69 2.8k
Taro Toyota Japan 27 1.4k 2.2× 513 1.0× 785 2.0× 395 1.1× 599 1.7× 110 3.0k
Siowling Soh United States 10 332 0.5× 265 0.5× 399 1.0× 226 0.6× 1.1k 3.1× 12 2.2k
Rastko Sknepnek United States 25 389 0.6× 99 0.2× 594 1.5× 134 0.4× 395 1.1× 51 1.5k
Robert Henning United States 29 807 1.3× 364 0.7× 152 0.4× 183 0.5× 960 2.8× 77 2.6k
Nicholas J. Brooks United Kingdom 33 1.6k 2.5× 260 0.5× 82 0.2× 528 1.4× 444 1.3× 93 2.8k
L. A. Feĭgin Russia 16 874 1.4× 277 0.5× 104 0.3× 460 1.2× 1.1k 3.1× 69 2.7k

Countries citing papers authored by Roy Beck

Since Specialization
Citations

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

Fields of papers citing papers by Roy Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Beck

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Beck. A scholar is included among the top collaborators of Roy Beck 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 Roy Beck. Roy Beck 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.
Nikelshparg, Evelina I., Ashim Paul, Vijay Kumar, et al.. (2025). Self-Assembly of Accumulated Sphingolipids into Cytotoxic Fibrils in Globoid Cell Leukodystrophy and Their Inhibition by Small Molecules In Vitro. ACS Nano. 19(27). 25180–25203. 1 indexed citations
2.
Singh, Ashmeet, et al.. (2024). Amylum forms typical self-assembled amyloid fibrils. Science Advances. 10(35). eadp6471–eadp6471. 3 indexed citations
3.
Mertens, Haydyn D. T., Adina Golombek, Tal Schwartz, et al.. (2023). Intramolecular structural heterogeneity altered by long-range contacts in an intrinsically disordered protein. Proceedings of the National Academy of Sciences. 120(30). e2220180120–e2220180120. 12 indexed citations
4.
Avinery, Ram, et al.. (2023). Pincus blob elasticity in an intrinsically disordered protein. The European Physical Journal E. 46(10). 100–100. 1 indexed citations
5.
Jacoby, Guy, M. Segal, Joanna Korpanty, et al.. (2022). Self-Assembly of Tunable Intrinsically Disordered Peptide Amphiphiles. Biomacromolecules. 24(1). 98–108. 9 indexed citations
6.
Nickel, Bert, et al.. (2022). 3D-printed SAXS chamber for controlled in situ dialysis and optical characterization. Journal of Synchrotron Radiation. 29(4). 1014–1019. 1 indexed citations
7.
Saleh, Omar A., et al.. (2021). Intrinsically disordered proteins at the nano-scale. Nano Futures. 5(2). 22501–22501. 7 indexed citations
8.
Sela, Eran, et al.. (2020). Machine-learning iterative calculation of entropy for physical systems. Proceedings of the National Academy of Sciences. 117(48). 30234–30240. 21 indexed citations
9.
Mrejen, Michael, et al.. (2020). Super-resolution SAXS based on PSF engineering and sub-pixel detector translations. arXiv (Cornell University). 1 indexed citations
10.
Avinery, Ram, et al.. (2020). Glassy Dynamics and Memory Effects in an Intrinsically Disordered Protein Construct. Physical Review Letters. 125(5). 58001–58001. 27 indexed citations
11.
Bera, Santu, Sudipta Mondal, Yiming Tang, et al.. (2019). Deciphering the Rules for Amino Acid Co-Assembly Based on Interlayer Distances. ACS Nano. 13(2). 1703–1712. 32 indexed citations
12.
Laser-Azogui, Adi, Tova Volberg, Roland Eils, et al.. (2017). The role of Vimentin in Regulating Cell Invasive Migration in Dense Cultures of Breast Carcinoma Cells. Nano Letters. 17(11). 6941–6948. 54 indexed citations
13.
Mondal, Sudipta, Maxim Varenik, Yoav Atsmon‐Raz, et al.. (2017). A minimal length rigid helical peptide motif allows rational design of modular surfactants. Nature Communications. 8(1). 14018–14018. 51 indexed citations
14.
Kornreich, Micha, et al.. (2016). Neurofilaments Function as Shock Absorbers: Compression Response Arising from Disordered Proteins. Physical Review Letters. 117(14). 148101–148101. 21 indexed citations
15.
Laser-Azogui, Adi, et al.. (2015). Neurofilament assembly and function during neuronal development. Current Opinion in Cell Biology. 32. 92–101. 88 indexed citations
16.
Jacoby, Guy, et al.. (2015). Metastability in lipid based particles exhibits temporally deterministic and controllable behavior. Scientific Reports. 5(1). 9481–9481. 12 indexed citations
17.
Beck, Roy, Joanna Deek, Jayna B. Jones, et al.. (2010). Structures and Interactions in Neurofilament: Gel Expanded To Gel Condensed Transition. Biophysical Journal. 98(3). 9a–9a. 1 indexed citations
18.
Beck, Roy, et al.. (2007). Transition from a Mixed to a Pured-Wave Symmetry in Superconducting Optimally DopedYBa2Cu3O7−xThin Films Under Applied Fields. Physical Review Letters. 98(13). 137002–137002. 16 indexed citations
19.
Dagan, Y., William M. Fisher, Roy Beck, et al.. (2005). Origin of the Anomalous Low Temperature Upturn in the Resistivity of the Electron-Doped Cuprate Superconductors. Physical Review Letters. 94(5). 57005–57005. 44 indexed citations
20.
Hummel, E., Roy Beck, & Marcus S. Dahlem. (1991). The magnetic field structure in the radio halos of NGC 891 and NGC 4631.. 248(2). 23–236. 12 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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