Yu Toyoshima

1.0k total citations
21 papers, 601 citations indexed

About

Yu Toyoshima is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Yu Toyoshima has authored 21 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aging, 12 papers in Molecular Biology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Yu Toyoshima's work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (6 papers) and Gene Regulatory Network Analysis (3 papers). Yu Toyoshima is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (6 papers) and Gene Regulatory Network Analysis (3 papers). Yu Toyoshima collaborates with scholars based in Japan, United States and Australia. Yu Toyoshima's co-authors include Shinya Kuroda, Hiroyuki Kubota, Shinsuke Uda, K Sugimachi, Alison Douglas, Yasunori Komori, T. Tamura, Yoshiko Masuda, Yuji Matsubara and Keita Togashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Yu Toyoshima

20 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Toyoshima Japan 12 301 138 114 84 66 21 601
Pyotr A. Tyurin‐Kuzmin Russia 13 374 1.2× 62 0.4× 77 0.7× 19 0.2× 115 1.7× 40 628
Michael Garcia United States 13 459 1.5× 100 0.7× 25 0.2× 46 0.5× 105 1.6× 21 933
Huize Pan United States 10 500 1.7× 45 0.3× 29 0.3× 25 0.3× 44 0.7× 14 654
Yishai Avior Israel 7 742 2.5× 108 0.8× 39 0.3× 24 0.3× 97 1.5× 7 960
Andrzej Swistowski United States 14 737 2.4× 89 0.6× 39 0.3× 16 0.2× 132 2.0× 17 903
Anaïs Wanet Belgium 6 482 1.6× 57 0.4× 62 0.5× 18 0.2× 99 1.5× 7 684
Egor Zindy United Kingdom 14 202 0.7× 20 0.1× 14 0.1× 11 0.1× 53 0.8× 30 464
Enrica Calura Italy 18 589 2.0× 39 0.3× 15 0.1× 19 0.2× 80 1.2× 34 876
Cyril Esnault France 11 658 2.2× 27 0.2× 15 0.1× 32 0.4× 83 1.3× 16 910

Countries citing papers authored by Yu Toyoshima

Since Specialization
Citations

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

Fields of papers citing papers by Yu Toyoshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Toyoshima

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Toyoshima. A scholar is included among the top collaborators of Yu Toyoshima 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 Toyoshima. Yu Toyoshima 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.
Ichikawa, Kazuki, Massa J. Shoura, Karen L. Artiles, et al.. (2025). CGC1, a new reference genome for Caenorhabditis elegans. Genome Research. 35(8). 1902–1918. 1 indexed citations
2.
Jang, Moon‐Sun, et al.. (2025). Dissection of Behavioral Components and the Role of Omega/Delta Turns for the Chemotaxis of C. elegans. Genes to Cells. 30(4). e70026–e70026. 1 indexed citations
3.
Toyoshima, Yu, et al.. (2025). WormTracer: A precise method for worm posture analysis using temporal continuity. Journal of Neuroscience Methods. 427. 110644–110644.
4.
Toyoshima, Yu, Hirofumi Sato, Moon‐Sun Jang, et al.. (2024). Ensemble dynamics and information flow deduction from whole-brain imaging data. PLoS Computational Biology. 20(3). e1011848–e1011848. 1 indexed citations
5.
Toyoshima, Yu, et al.. (2024). Neuronal sensorimotor integration guiding salt concentration navigation in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 121(5). e2310735121–e2310735121. 5 indexed citations
6.
Yamamoto, Kentaro, Yu Toyoshima, Hirofumi Sato, et al.. (2023). WormTensor: a clustering method for time-series whole-brain activity data from C. elegans. BMC Bioinformatics. 24(1). 254–254. 1 indexed citations
7.
Mabardi, Llian, Hirofumi Sato, Yu Toyoshima, Yuichi Iino, & Hirofumi Kunitomo. (2022). Different modes of stimuli delivery elicit changes in glutamate driven, experience-dependent interneuron response in C. elegans. Neuroscience Research. 186. 33–42. 3 indexed citations
8.
Sato, Ken, et al.. (2021). Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior. Neural Networks. 145. 107–120. 3 indexed citations
9.
Toyoshima, Yu, Stephen Wu, Hirofumi Sato, et al.. (2020). Neuron ID dataset facilitates neuronal annotation for whole-brain activity imaging of C. elegans. BMC Biology. 18(1). 30–30. 20 indexed citations
10.
Jang, Moon‐Sun, Yu Toyoshima, Masahiro Tomioka, Hirofumi Kunitomo, & Yuichi Iino. (2019). Multiple sensory neurons mediate starvation-dependent aversive navigation in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 116(37). 18673–18683. 21 indexed citations
11.
Hirose, Osamu, T Tokunaga, Yu Toyoshima, et al.. (2017). SPF-CellTracker: Tracking Multiple Cells with Strongly-Correlated Moves Using a Spatial Particle Filter. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 1822–1831. 12 indexed citations
12.
Oda, Shigekazu, Yu Toyoshima, & Mario de Bono. (2017). Modulation of sensory information processing by a neuroglobin in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 114(23). E4658–E4665. 8 indexed citations
13.
Toyoshima, Yu, T Tokunaga, Osamu Hirose, et al.. (2016). Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space. PLoS Computational Biology. 12(6). e1004970–e1004970. 27 indexed citations
14.
Komada, Hisako, Shinsuke Uda, Hiroyuki Kubota, et al.. (2015). Glucose Homeostatic Law: Insulin Clearance Predicts the Progression of Glucose Intolerance in Humans. PLoS ONE. 10(12). e0143880–e0143880. 16 indexed citations
15.
Yugi, Katsuyuki, Hiroyuki Kubota, Yu Toyoshima, et al.. (2014). Reconstruction of Insulin Signal Flow from Phosphoproteome and Metabolome Data. Cell Reports. 8(4). 1171–1183. 66 indexed citations
16.
Tokunaga, T, Osamu Hirose, Yu Toyoshima, et al.. (2014). Automated detection and tracking of many cells by using 4D live-cell imaging data. Bioinformatics. 30(12). i43–i51. 17 indexed citations
17.
Kubota, Hiroyuki, Katsuyuki Yugi, Yu Toyoshima, et al.. (2013). The selective control of glycolysis, gluconeogenesis and glycogenesis by temporal insulin patterns. Molecular Systems Biology. 9(1). 67 indexed citations
18.
Kubota, Hiroyuki, Yu Toyoshima, Shinsuke Uda, et al.. (2012). Temporal Coding of Insulin Action through Multiplexing of the AKT Pathway. Molecular Cell. 46(6). 820–832. 90 indexed citations
19.
Toyoshima, Yu, et al.. (2012). Sensitivity control through attenuation of signal transfer efficiency by negative regulation of cellular signalling. Nature Communications. 3(1). 743–743. 16 indexed citations
20.
Matsubara, Yuji, Yoshiko Masuda, Keita Togashi, et al.. (2008). Characterization of adipose tissue-derived cells isolated with the Celution™ system. Cytotherapy. 10(4). 417–426. 161 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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