Yu Tanouchi

1.5k citations
16 papers · 941 indexed · 1 hit paper · h-index 13
Topics
Gene Regulatory Network Analysis (11 papers)Bacterial Genetics and Biotechnology (6 papers)Evolution and Genetic Dynamics (5 papers)
Partner nations
United States

In The Last Decade

Yu Tanouchi

16 papers receiving 934 citations

Hit Papers

Deep Learning Automates the Quantitative Analysis of Indi...20162026201920222016100200300

Peers

Yu Tanouchi
Comparison fields: 5 of 108
  • Molecular Biology 595
  • Genetics 268
  • Biophysics 263
  • Biomedical Engineering 166
  • Media Technology 85
Replace Jonathan W. Young with:
Jonathan W. Young United States
Cheemeng Tan United States
Lydia Robert France
Nathan J. Kuwada United States
Jean‐Baptiste Lugagne United States
David Fange Sweden
Jeremy Metz United Kingdom
Sara Hooshangi United States
Yuichi Taniguchi Japan
Gianluca Pegoraro United States
Yu Tanouchi relative to Jonathan W. Young United States Jonathan W. Young's profile →
Citations per field
00.5×2.8×
Jonathan W. Young · 1×
Citations per year

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

16 of 16 papers shown
#WorkIndexed citations
1 19
2 26
3 3
4
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experimentsbreakdown →
337
5 116
6 5
7 62
8 12
9 42
10 54
11 107
12 10
13 55
14 14
15 37
16 42

About Yu Tanouchi

Yu Tanouchi is a scholar working on Biophysics, Genetics and Virology, having authored 16 papers that have together received 941 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (11 papers), Bacterial Genetics and Biotechnology (6 papers) and Evolution and Genetic Dynamics (5 papers). The work is most often cited by research in Biophysics (263 citations), Media Technology (85 citations) and Genetics (268 citations). Yu Tanouchi has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

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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