Yu Tanouchi

1.5k total citations · 1 hit paper
16 papers, 941 citations indexed

About

Yu Tanouchi is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Yu Tanouchi has authored 16 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in Yu Tanouchi's work include Gene Regulatory Network Analysis (11 papers), Bacterial Genetics and Biotechnology (6 papers) and Evolution and Genetic Dynamics (5 papers). Yu Tanouchi is often cited by papers focused on Gene Regulatory Network Analysis (11 papers), Bacterial Genetics and Biotechnology (6 papers) and Evolution and Genetic Dynamics (5 papers). Yu Tanouchi collaborates with scholars based in United States. Yu Tanouchi's co-authors include Lingchong You, Anand Pai, Markus W. Covert, Takamasa Kudo, Nicolas E. Buchler, Nicolas Quach, Mialy DeFelice, Inbal Maayan, Derek N. Macklin and Euan A. Ashley and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Yu Tanouchi

16 papers receiving 934 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

2016 337 citations Takamasa Kudo, Keara Lane et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Tanouchi United States	13	595	268	263	166	85	16	941
Cheemeng Tan United States	21	1.2k 1.9×	282 1.1×	140 0.5×	472 2.8×	30 0.4×	54	1.7k
Jonathan W. Young United States	7	1.2k 2.0×	488 1.8×	278 1.1×	199 1.2×	30 0.4×	13	1.5k
Jean‐Baptiste Lugagne United States	11	403 0.7×	84 0.3×	233 0.9×	147 0.9×	55 0.6×	15	599
Lydia Robert France	13	899 1.5×	581 2.2×	156 0.6×	322 1.9×	14 0.2×	19	1.4k
Aimée M. Dudley United States	21	1.5k 2.6×	338 1.3×	73 0.3×	141 0.8×	17 0.2×	43	2.0k
Gianluca Pegoraro United States	23	1.9k 3.1×	249 0.9×	193 0.7×	47 0.3×	25 0.3×	63	2.6k
Nathan J. Kuwada United States	13	458 0.8×	302 1.1×	95 0.4×	77 0.5×	28 0.3×	20	778
Sara Hooshangi United States	11	816 1.4×	244 0.9×	57 0.2×	178 1.1×	11 0.1×	32	1.1k
Timothy J. Rudge United Kingdom	12	340 0.6×	113 0.4×	63 0.2×	197 1.2×	13 0.2×	25	582
Fernán Federici Chile	18	981 1.6×	123 0.5×	111 0.4×	175 1.1×	8 0.1×	26	1.5k

Countries citing papers authored by Yu Tanouchi

Since Specialization

Citations

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

Fields of papers citing papers by Yu Tanouchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Tanouchi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Tanouchi. A scholar is included among the top collaborators of Yu Tanouchi 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 Yu Tanouchi. Yu Tanouchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Barth, Angela I. M., et al.. (2020). Engineered Fluorescent E. coli Lysogens Allow Live-Cell Imaging of Functional Prophage Induction Triggered inside Macrophages. Cell Systems. 10(3). 254–264.e9. 19 indexed citations

Tanouchi, Yu, Anand Pai, Heungwon Park, et al.. (2017). Long-term growth data of Escherichia coli at a single-cell level. Scientific Data. 4(1). 170036–170036. 26 indexed citations

Tanouchi, Yu & Markus W. Covert. (2017). Combining Comprehensive Analysis of Off-Site Lambda Phage Integration with a CRISPR-Based Means of Characterizing Downstream Physiology. mBio. 8(5). 3 indexed citations

Kudo, Takamasa, Keara Lane, Derek N. Macklin, et al.. (2016). Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. PLoS Computational Biology. 12(11). e1005177–e1005177. 337 indexed citations breakdown →

Tanouchi, Yu, Anand Pai, Heungwon Park, et al.. (2015). A noisy linear map underlies oscillations in cell size and gene expression in bacteria. Nature. 523(7560). 357–360. 116 indexed citations

Srimani, Jaydeep K., Guang Yao, John C. Neu, et al.. (2014). Linear Population Allocation by Bistable Switches in Response to Transient Stimulation. PLoS ONE. 9(8). e105408–e105408. 5 indexed citations

Tanouchi, Yu, et al.. (2013). Programmed cell death in bacteria and implications for antibiotic therapy. Trends in Microbiology. 21(6). 265–270. 62 indexed citations

Pai, Anand, Jaydeep K. Srimani, Yu Tanouchi, & Lingchong You. (2013). Generic Metric to Quantify Quorum Sensing Activation Dynamics. ACS Synthetic Biology. 3(4). 220–227. 12 indexed citations

Tanouchi, Yu, Robert P. Smith, & Lingchong You. (2012). Engineering microbial systems to explore ecological and evolutionary dynamics. Current Opinion in Biotechnology. 23(5). 791–797. 42 indexed citations

10.

Tanouchi, Yu, Anand Pai, Nicolas E. Buchler, & Lingchong You. (2012). Programming stress‐induced altruistic death in engineered bacteria. Molecular Systems Biology. 8(1). 626–626. 54 indexed citations

11.

Pai, Anand, Yu Tanouchi, & Lingchong You. (2012). Optimality and robustness in quorum sensing (QS)-mediated regulation of a costly public good enzyme. Proceedings of the National Academy of Sciences. 109(48). 19810–19815. 107 indexed citations

12.

Hallen, Mark A., Bochong Li, Yu Tanouchi, et al.. (2011). Computation of Steady-State Probability Distributions in Stochastic Models of Cellular Networks. PLoS Computational Biology. 7(10). e1002209–e1002209. 10 indexed citations

13.

Tanouchi, Yu, et al.. (2010). Oscillations by Minimal Bacterial Suicide Circuits Reveal Hidden Facets of Host-Circuit Physiology. PLoS ONE. 5(7). e11909–e11909. 55 indexed citations

14.

Tanouchi, Yu, Anand Pai, & Lingchong You. (2009). Decoding biological principles using gene circuits. Molecular BioSystems. 5(7). 695–703. 14 indexed citations

15.

Pai, Anand, Yu Tanouchi, Cynthia H. Collins, & Lingchong You. (2009). Engineering multicellular systems by cell–cell communication. Current Opinion in Biotechnology. 20(4). 461–470. 37 indexed citations

16.

Tanouchi, Yu, et al.. (2008). Noise Reduction by Diffusional Dissipation in a Minimal Quorum Sensing Motif. PLoS Computational Biology. 4(8). e1000167–e1000167. 42 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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