Yohei Yokobayashi

3.7k total citations · 1 hit paper
76 papers, 2.8k citations indexed

About

Yohei Yokobayashi is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Yohei Yokobayashi has authored 76 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 17 papers in Genetics and 7 papers in Ecology. Recurrent topics in Yohei Yokobayashi's work include RNA and protein synthesis mechanisms (46 papers), Advanced biosensing and bioanalysis techniques (35 papers) and CRISPR and Genetic Engineering (20 papers). Yohei Yokobayashi is often cited by papers focused on RNA and protein synthesis mechanisms (46 papers), Advanced biosensing and bioanalysis techniques (35 papers) and CRISPR and Genetic Engineering (20 papers). Yohei Yokobayashi collaborates with scholars based in Japan, United States and United Kingdom. Yohei Yokobayashi's co-authors include Yoko Nomura, Frances H. Arnold, Ron Weiss, M. Reza Ghadiri, Vandana Sharma, Shungo Kobori, Alan Saghatelian, Norihito Muranaka, Mohammed Dwidar and David H. Lee and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yohei Yokobayashi

75 papers receiving 2.8k citations

Hit Papers

Directed evolution of a genetic circuit 2002 2026 2010 2018 2002 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yohei Yokobayashi Japan 28 2.5k 513 389 299 173 76 2.8k
Christophe Danelon Netherlands 24 1.5k 0.6× 347 0.7× 728 1.9× 129 0.4× 204 1.2× 43 2.1k
Vitor B. Pinheiro United Kingdom 22 1.7k 0.7× 236 0.5× 192 0.5× 183 0.6× 72 0.4× 41 2.0k
John C. Chaput United States 36 5.0k 2.0× 274 0.5× 985 2.5× 311 1.0× 282 1.6× 132 5.4k
Katarzyna P. Adamala United States 18 1.3k 0.5× 131 0.3× 286 0.7× 642 2.1× 111 0.6× 58 1.7k
K. Tsumoto Japan 21 1.4k 0.6× 112 0.2× 322 0.8× 78 0.3× 140 0.8× 66 1.8k
Timothy J. Wilson United Kingdom 31 2.3k 0.9× 227 0.4× 209 0.5× 60 0.2× 174 1.0× 76 2.8k
Nobuhide Doi Japan 23 1.3k 0.5× 170 0.3× 202 0.5× 37 0.1× 89 0.5× 79 1.6k
Yuzuru Husimi Japan 24 1.6k 0.6× 388 0.8× 213 0.5× 35 0.1× 195 1.1× 90 2.0k
Michiko Kimoto Japan 34 3.1k 1.2× 173 0.3× 267 0.7× 70 0.2× 145 0.8× 80 3.2k
Aaron E. Engelhart United States 17 745 0.3× 87 0.2× 123 0.3× 379 1.3× 79 0.5× 40 1.1k

Countries citing papers authored by Yohei Yokobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yohei Yokobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohei Yokobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yohei Yokobayashi. A scholar is included among the top collaborators of Yohei Yokobayashi 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 Yohei Yokobayashi. Yohei Yokobayashi 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.
Fukunaga, Keisuke, Takamasa Teramoto, Makoto Nakashima, et al.. (2025). Structural insights into lab-coevolved RNA–RBP pairs and applications of synthetic riboswitches in cell-free system. Nucleic Acids Research. 53(6). 1 indexed citations
2.
Vidal, Lara Sellés, et al.. (2024). Accurate, comprehensive database of group I introns and their homing endonucleases. Bioinformatics Advances. 5(1). vbaf020–vbaf020.
3.
Nomura, Yoko, et al.. (2024). Optimization of Exon-Skipping Riboswitches and Their Applications to Control Mammalian Cell Fate. ACS Synthetic Biology. 13(10). 3246–3255. 3 indexed citations
4.
Fukunaga, Keisuke, et al.. (2023). Small-Molecule Aptamer for Regulating RNA Functions in Mammalian Cells and Animals. Journal of the American Chemical Society. 145(14). 7820–7828. 32 indexed citations
5.
Bhat, Deepak, et al.. (2022). Speed variations of bacterial replisomes. eLife. 11. 9 indexed citations
6.
Yokobayashi, Yohei, et al.. (2022). Experimental exploration of a ribozyme neutral network using evolutionary algorithm and deep learning. Nature Communications. 13(1). 4847–4847. 17 indexed citations
7.
Nomura, Yoko & Yohei Yokobayashi. (2021). Aptazyme-Based Riboswitches and Logic Gates in Mammalian Cells. Methods in molecular biology. 213–220. 2 indexed citations
8.
Kobori, Shungo, Yoko Nomura, & Yohei Yokobayashi. (2019). Self-powered RNA nanomachine driven by metastable structure. Nucleic Acids Research. 47(11). 6007–6014. 4 indexed citations
9.
Nomura, Yoko & Yohei Yokobayashi. (2019). Systematic minimization of RNA ligase ribozyme through large-scale design-synthesis-sequence cycles. Nucleic Acids Research. 47(17). 8950–8960. 15 indexed citations
10.
Dwidar, Mohammed & Yohei Yokobayashi. (2019). Development of a histamine aptasensor for food safety monitoring. Scientific Reports. 9(1). 16659–16659. 28 indexed citations
11.
Dhamodharan, V., Yoko Nomura, Mohammed Dwidar, & Yohei Yokobayashi. (2018). Optochemical control of gene expression by photocaged guanine and riboswitches. Chemical Communications. 54(48). 6181–6183. 15 indexed citations
12.
Nomura, Yoko, et al.. (2017). Direct screening for ribozyme activity in mammalian cells. Chemical Communications. 53(93). 12540–12543. 12 indexed citations
13.
Dwidar, Mohammed & Yohei Yokobayashi. (2017). Controlling Bdellovibrio bacteriovorus Gene Expression and Predation Using Synthetic Riboswitches. ACS Synthetic Biology. 6(11). 2035–2041. 18 indexed citations
14.
Muranaka, Norihito, Vandana Sharma, & Yohei Yokobayashi. (2011). Enzymatic Probing Analysis of an Engineered Riboswitch Reveals Multiple off Conformations. Nucleosides Nucleotides & Nucleic Acids. 30(9). 696–705. 1 indexed citations
15.
Kumar, Deepak, Sang Hoon Kim, & Yohei Yokobayashi. (2011). Combinatorially Inducible RNA Interference Triggered by Chemically Modified Oligonucleotides. Journal of the American Chemical Society. 133(8). 2783–2788. 14 indexed citations
16.
Nomura, Yoko, et al.. (2011). Selection of silk-binding peptides by phage display. Biotechnology Letters. 33(5). 1069–1073. 9 indexed citations
17.
Kumar, Deepak, et al.. (2009). Conditional RNA Interference Mediated by Allosteric Ribozyme. Journal of the American Chemical Society. 131(39). 13906–13907. 81 indexed citations
18.
Nomura, Yoko & Yohei Yokobayashi. (2006). Dual selection of a genetic switch by a single selection marker. Biosystems. 90(1). 115–120. 36 indexed citations
19.
Zhang, Wuming, Kazuyoshi Yano, Kazunori Ikebukuro, et al.. (2003). Exploration of structural features of monomeric helical peptides designed with a genetic algorithm. Proteins Structure Function and Bioinformatics. 53(2). 193–200. 7 indexed citations
20.
Yokobayashi, Yohei, Ron Weiss, & Frances H. Arnold. (2002). Directed evolution of a genetic circuit. Proceedings of the National Academy of Sciences. 99(26). 16587–16591. 330 indexed citations breakdown →

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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