Yaakov Benenson

5.1k total citations · 2 hit papers
54 papers, 3.6k citations indexed

About

Yaakov Benenson is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Yaakov Benenson has authored 54 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in Yaakov Benenson's work include CRISPR and Genetic Engineering (27 papers), Advanced biosensing and bioanalysis techniques (26 papers) and Gene Regulatory Network Analysis (21 papers). Yaakov Benenson is often cited by papers focused on CRISPR and Genetic Engineering (27 papers), Advanced biosensing and bioanalysis techniques (26 papers) and Gene Regulatory Network Analysis (21 papers). Yaakov Benenson collaborates with scholars based in Switzerland, United States and Israel. Yaakov Benenson's co-authors include Ehud Shapiro, Rivka Adar, Zhen Xie, Ron Weiss, Laura Prochazka, Leonidas Bleris, Liliana Wróblewska, Tamar Paz-Elizur, Zvi Livneh and Ehud Keinan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yaakov Benenson

54 papers receiving 3.5k citations

Hit Papers

An autonomous molecular computer for logical control of g... 2004 2026 2011 2018 2004 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaakov Benenson Switzerland 24 3.3k 612 378 291 226 54 3.6k
Yannick Rondelez France 27 2.1k 0.6× 816 1.3× 338 0.9× 98 0.3× 166 0.7× 69 2.9k
David Soloveichik United States 13 2.5k 0.8× 599 1.0× 400 1.1× 31 0.1× 170 0.8× 29 2.7k
Maximilian T. Strauss Germany 33 2.6k 0.8× 840 1.4× 163 0.4× 91 0.3× 35 0.2× 49 4.0k
J. Bonnet France 21 1.6k 0.5× 412 0.7× 508 1.3× 297 1.0× 65 0.3× 93 2.5k
Darko Stefanović United States 23 2.1k 0.7× 619 1.0× 634 1.7× 24 0.1× 82 0.4× 59 2.7k
Aaron Chevalier United States 10 1.4k 0.4× 485 0.8× 187 0.5× 220 0.8× 33 0.1× 12 1.9k
Subhayu Basu United States 6 1.8k 0.6× 515 0.8× 54 0.1× 449 1.5× 86 0.4× 8 2.1k
Robert Kasper Germany 22 1.3k 0.4× 872 1.4× 224 0.6× 59 0.2× 41 0.2× 43 3.7k
Thomas E. Ouldridge United Kingdom 28 2.4k 0.7× 536 0.9× 183 0.5× 67 0.2× 77 0.3× 62 2.8k
Bryan S. Der United States 18 1.6k 0.5× 207 0.3× 78 0.2× 233 0.8× 60 0.3× 22 1.9k

Countries citing papers authored by Yaakov Benenson

Since Specialization
Citations

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

Fields of papers citing papers by Yaakov Benenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaakov Benenson

This figure shows the co-authorship network connecting the top 25 collaborators of Yaakov Benenson. A scholar is included among the top collaborators of Yaakov Benenson 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 Yaakov Benenson. Yaakov Benenson 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.
Prochazka, Laura, Yale S. Michaels, Ross D. Jones, et al.. (2022). Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells. Molecular Systems Biology. 18(11). e10886–e10886. 9 indexed citations
2.
Shen, Linling, et al.. (2021). An AAV gene therapy computes over multiple cellular inputs to enable precise targeting of multifocal hepatocellular carcinoma in mice. Science Translational Medicine. 13(624). eabh4456–eabh4456. 12 indexed citations
3.
Beisel, Christian, et al.. (2020). Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping. Nature Communications. 11(1). 3551–3551. 47 indexed citations
4.
Stelzer, Christoph & Yaakov Benenson. (2020). Precise determination of input-output mapping for multimodal gene circuits using data from transient transfection. PLoS Computational Biology. 16(11). e1008389–e1008389. 3 indexed citations
5.
Willis, Katie, et al.. (2020). Multiple Alternative Promoters and Alternative Splicing Enable Universal Transcription-Based Logic Computation in Mammalian Cells. Cell Reports. 33(9). 108437–108437. 9 indexed citations
6.
Mazé, Alain & Yaakov Benenson. (2019). Artificial signaling in mammalian cells enabled by prokaryotic two-component system. Nature Chemical Biology. 16(2). 179–187. 26 indexed citations
7.
Lapique, Nicolas & Yaakov Benenson. (2017). Genetic programs can be compressed and autonomously decompressed in live cells. Nature Nanotechnology. 13(4). 309–315. 12 indexed citations
8.
Prochazka, Laura, et al.. (2016). Precision multidimensional assay for high-throughput microRNA drug discovery. Nature Communications. 7(1). 10709–10709. 16 indexed citations
9.
Schreiber, Joerg, et al.. (2016). Model‐guided combinatorial optimization of complex synthetic gene networks. Molecular Systems Biology. 12(12). 899–899. 20 indexed citations
10.
Benenson, Yaakov, et al.. (2016). Synthetic Biology Platform for Sensing and Integrating Endogenous Transcriptional Inputs in Mammalian Cells. Cell Reports. 16(9). 2525–2537. 37 indexed citations
11.
Prochazka, Laura, et al.. (2014). Highly modular bow-tie gene circuits with programmable dynamic behaviour. Nature Communications. 5(1). 4729–4729. 33 indexed citations
12.
Lapique, Nicolas & Yaakov Benenson. (2014). Digital switching in a biosensor circuit via programmable timing of gene availability. Nature Chemical Biology. 10(12). 1020–1027. 39 indexed citations
13.
Schmid‐Burgk, Jonathan L., Zhen Xie, & Yaakov Benenson. (2013). Hierarchical Ligation-Independent Assembly of PCR Fragments. Methods in molecular biology. 1116. 49–58. 3 indexed citations
14.
Benenson, Yaakov. (2012). Biomolecular computing systems: principles, progress and potential. Nature Reviews Genetics. 13(7). 455–468. 278 indexed citations
15.
Benenson, Yaakov. (2012). Synthetic biology with RNA: progress report. Current Opinion in Chemical Biology. 16(3-4). 278–284. 24 indexed citations
16.
Benenson, Yaakov. (2011). Engineering RNAi Circuits. Methods in enzymology on CD-ROM/Methods in enzymology. 497. 187–205. 2 indexed citations
17.
Xie, Zhen, Siyuan Liu, Leonidas Bleris, & Yaakov Benenson. (2010). Logic integration of mRNA signals by an RNAi-based molecular computer. Nucleic Acids Research. 38(8). 2692–2701. 46 indexed citations
18.
Benenson, Yaakov. (2009). Biocomputers: from test tubes to live cells. Molecular BioSystems. 5(7). 675–685. 101 indexed citations
19.
Benenson, Yaakov, Tamar Paz-Elizur, Rivka Adar, et al.. (2001). Programmable and autonomous computing machine made of biomolecules. Nature. 414(6862). 430–434. 432 indexed citations
20.
Liang, Po‐Huang, Karen S. Anderson, Amnon Kohen, et al.. (1998). Catalytic Mechanism of Kdo8P Synthase:  Transient Kinetic Studies and Evaluation of a Putative Reaction Intermediate. Biochemistry. 37(46). 16390–16399. 38 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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