Roy Bar‐Ziv

3.7k total citations
67 papers, 2.9k citations indexed

About

Roy Bar‐Ziv is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Roy Bar‐Ziv has authored 67 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 27 papers in Biomedical Engineering and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Roy Bar‐Ziv's work include Advanced biosensing and bioanalysis techniques (20 papers), Gene Regulatory Network Analysis (12 papers) and Microfluidic and Bio-sensing Technologies (12 papers). Roy Bar‐Ziv is often cited by papers focused on Advanced biosensing and bioanalysis techniques (20 papers), Gene Regulatory Network Analysis (12 papers) and Microfluidic and Bio-sensing Technologies (12 papers). Roy Bar‐Ziv collaborates with scholars based in Israel, United States and Germany. Roy Bar‐Ziv's co-authors include Elisha Moses, Vincent Noireaux, Tsvi Tlusty, Eyal Karzbrun, Albert Libchaber, Tsevi Beatus, Alexandra M. Tayar, Shirley S. Daube, Lior Nissim and S. A. Safran and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Roy Bar‐Ziv

63 papers receiving 2.8k 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 Bar‐Ziv Israel 31 1.7k 1.0k 406 230 229 67 2.9k
Omar A. Saleh United States 33 1.6k 0.9× 1.2k 1.2× 552 1.4× 102 0.4× 266 1.2× 99 3.2k
David K. Lubensky United States 17 1.1k 0.6× 840 0.8× 311 0.8× 114 0.5× 148 0.6× 30 1.9k
Oleg Krichevsky Israel 21 1.5k 0.9× 620 0.6× 486 1.2× 89 0.4× 330 1.4× 38 2.8k
Hongyun Wang United States 30 1.7k 1.0× 743 0.7× 354 0.9× 93 0.4× 344 1.5× 114 3.0k
Catherine Tardin France 15 1.6k 1.0× 782 0.7× 346 0.9× 195 0.8× 245 1.1× 28 2.7k
Zev Bryant United States 31 2.5k 1.5× 952 0.9× 1.1k 2.6× 275 1.2× 428 1.9× 54 4.1k
Anatoly B. Kolomeisky United States 34 2.2k 1.3× 657 0.6× 723 1.8× 439 1.9× 503 2.2× 181 4.2k
Moritz Kreysing Germany 19 1.4k 0.8× 464 0.4× 342 0.8× 98 0.4× 221 1.0× 36 2.4k
D. Chatenay France 33 1.7k 1.0× 863 0.8× 1.3k 3.1× 185 0.8× 696 3.0× 54 3.7k
Mark I. Wallace United Kingdom 34 1.8k 1.1× 983 0.9× 326 0.8× 48 0.2× 213 0.9× 71 3.2k

Countries citing papers authored by Roy Bar‐Ziv

Since Specialization
Citations

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

Fields of papers citing papers by Roy Bar‐Ziv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Bar‐Ziv

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Bar‐Ziv. A scholar is included among the top collaborators of Roy Bar‐Ziv 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 Bar‐Ziv. Roy Bar‐Ziv 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.
Daube, Shirley S., et al.. (2025). Bacterial chromosome conformation and cell-free gene expression in synthetic 2D compartments. Nature Communications. 16(1). 10026–10026.
2.
Dupin, Aurore, et al.. (2025). Cell-free protein synthesis in microcompartments towards cell–cell communication. Current Opinion in Biotechnology. 97. 103416–103416.
3.
Dupin, Aurore, et al.. (2025). Autonomous biogenesis of all thirty proteins of the Escherichia coli translation machinery. Nature Communications. 17(1). 1028–1028.
4.
Barak, Yoav, et al.. (2024). A genetic circuit on a single DNA molecule as an autonomous dissipative nanodevice. Nature Communications. 15(1). 883–883. 4 indexed citations
5.
Tayar, Alexandra M., et al.. (2024). Large-scale-integration and collective oscillations of 2D artificial cells. Nature Communications. 15(1). 10202–10202. 5 indexed citations
6.
Daube, Shirley S., et al.. (2023). Computational analysis of protein synthesis, diffusion, and binding in compartmental biochips. Microbial Cell Factories. 22(1). 244–244.
7.
Lévy, Michael, et al.. (2022). Cell-Free Gene Expression from DNA Brushes. Methods in molecular biology. 135–149. 1 indexed citations
8.
Lévy, Michael, Dan Bracha, Alexandra M. Tayar, et al.. (2021). Boundary-Free Ribosome Compartmentalization by Gene Expression on a Surface. ACS Synthetic Biology. 10(3). 609–619. 9 indexed citations
9.
Daube, Shirley S., et al.. (2020). From deterministic to fuzzy decision-making in artificial cells. Nature Communications. 11(1). 5648–5648. 18 indexed citations
10.
Garenne, David, et al.. (2020). Programming multi-protein assembly by gene-brush patterns and two-dimensional compartment geometry. Nature Nanotechnology. 15(9). 783–791. 25 indexed citations
11.
Tayar, Alexandra M., Eyal Karzbrun, Vincent Noireaux, & Roy Bar‐Ziv. (2018). Synchrony and pattern formation of coupled genetic oscillators on a chip of artificial cells. Bulletin of the American Physical Society. 2018. 13 indexed citations
12.
Doudna, Jennifer A., Roy Bar‐Ziv, Johan Elf, et al.. (2017). How Will Kinetics and Thermodynamics Inform Our Future Efforts to Understand and Build Biological Systems?. Cell Systems. 4(2). 144–146. 5 indexed citations
13.
Tayar, Alexandra M., Shirley S. Daube, & Roy Bar‐Ziv. (2017). Progress in programming spatiotemporal patterns and machine-assembly in cell-free protein expression systems. Current Opinion in Chemical Biology. 40. 37–46. 10 indexed citations
14.
Nissim, Lior & Roy Bar‐Ziv. (2010). A tunable dual‐promoter integrator for targeting of cancer cells. Molecular Systems Biology. 6(1). 444–444. 111 indexed citations
15.
Beatus, Tsevi, Tsvi Tlusty, & Roy Bar‐Ziv. (2009). Burgers Shock Waves and Sound in a 2D Microfluidic Droplets Ensemble. Physical Review Letters. 103(11). 114502–114502. 40 indexed citations
16.
Buxboim, Amnon, Erez Geron, R. Alon, & Roy Bar‐Ziv. (2009). A Biochip Model of Lymphocyte Locomotion on Confined Chemokine Tracks. Small. 5(15). 1723–1726. 4 indexed citations
17.
Nissim, Lior, Tsevi Beatus, & Roy Bar‐Ziv. (2007). An autonomous system for identifying and governing a cell's state in yeast. Physical Biology. 4(3). 154–163. 8 indexed citations
18.
Beatus, Tsevi, Roy Bar‐Ziv, & Tsvi Tlusty. (2007). Anomalous Microfluidic Phonons Induced by the Interplay of Hydrodynamic Screening and Incompressibility. Physical Review Letters. 99(12). 124502–124502. 54 indexed citations
19.
Dolev, Maya Bar, Roy Bar‐Ziv, Tali Scherf, & Deborah Fass. (2006). Efficient production of a folded and functional, highly disulfide-bonded β-helix antifreeze protein in bacteria. Protein Expression and Purification. 48(2). 243–252. 37 indexed citations
20.
Tlusty, Tsvi, Roy Bar‐Ziv, & Albert Libchaber. (2004). High-Fidelity DNA Sensing by Protein Binding Fluctuations. Physical Review Letters. 93(25). 258103–258103. 16 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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