Taro Ueno

2.5k total citations
55 papers, 1.8k citations indexed

About

Taro Ueno is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Taro Ueno has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Materials Chemistry and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Taro Ueno's work include Neurobiology and Insect Physiology Research (10 papers), Heat shock proteins research (10 papers) and Protein Structure and Dynamics (8 papers). Taro Ueno is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Heat shock proteins research (10 papers) and Protein Structure and Dynamics (8 papers). Taro Ueno collaborates with scholars based in Japan, United States and Germany. Taro Ueno's co-authors include Takashi Funatsu, Kazuhiko Kume, Shoen Kume, Daisuke Ichikawa, Jun Tomita, Hideki Taguchi, Ryo Iizuka, Hisashi Tadakuma, Hiromu Tanimoto and Masasuke Yoshida and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Neuron.

In The Last Decade

Taro Ueno

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taro Ueno Japan 26 547 444 337 238 200 55 1.8k
Andrew M. White United States 27 651 1.2× 861 1.9× 99 0.3× 32 0.1× 135 0.7× 82 2.3k
Sang‐Goo Lee South Korea 25 697 1.3× 71 0.2× 254 0.8× 48 0.2× 93 0.5× 98 2.3k
Insook Kim United States 21 378 0.7× 95 0.2× 36 0.1× 366 1.5× 43 0.2× 124 1.7k
Longhua Zhang China 23 751 1.4× 358 0.8× 71 0.2× 36 0.2× 106 0.5× 58 1.6k
James D. Baker United States 24 746 1.4× 443 1.0× 384 1.1× 72 0.3× 14 0.1× 57 2.1k
David K. Jackson United Kingdom 18 1.8k 3.3× 244 0.5× 162 0.5× 31 0.1× 203 1.0× 43 3.5k
David Parker United States 21 1.5k 2.8× 612 1.4× 187 0.6× 100 0.4× 29 0.1× 56 2.6k
Benjamin L. Smarr United States 21 430 0.8× 387 0.9× 131 0.4× 416 1.7× 9 0.0× 52 1.9k
Patrick M. Boyle United States 35 1.1k 2.1× 713 1.6× 113 0.3× 46 0.2× 10 0.1× 163 4.1k
Juhyun Kim South Korea 28 981 1.8× 946 2.1× 55 0.2× 113 0.5× 17 0.1× 104 3.0k

Countries citing papers authored by Taro Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Taro Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taro Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Taro Ueno. A scholar is included among the top collaborators of Taro Ueno 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 Taro Ueno. Taro Ueno 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.
Ochi, Eisuke, Katsunori Tsuji, Yoichi Shimizu, et al.. (2021). Cardiorespiratory fitness in breast cancer survivors: a randomised controlled trial of home-based smartphone supported high intensity interval training. BMJ Supportive & Palliative Care. 12(1). 33–37. 33 indexed citations
2.
Shimizu, Yoichi, Katsunori Tsuji, Eisuke Ochi, et al.. (2020). Study protocol for a nationwide questionnaire survey of physical activity among breast cancer survivors in Japan. BMJ Open. 10(1). e032871–e032871. 5 indexed citations
3.
AKIBA, M., Ryo Murakami, Tomoyuki Miyashita, et al.. (2019). Dopamine modulates the optomotor response to unreliable visual stimuli in Drosophila melanogaster. European Journal of Neuroscience. 51(3). 822–839. 10 indexed citations
4.
5.
Ichikawa, Daisuke, et al.. (2017). Tamper-Resistant Mobile Health Using Blockchain Technology. JMIR mhealth and uhealth. 5(7). e111–e111. 169 indexed citations
6.
Iizuka, Ryo, Taro Ueno, & Takashi Funatsu. (2015). Detection and Quantification of MicroRNAs by Ligase-Assisted Sandwich Hybridization on a Microarray. Methods in molecular biology. 1368. 53–65. 5 indexed citations
7.
Tomita, Jun, et al.. (2015). The NMDA Receptor Promotes Sleep in the Fruit Fly, Drosophila melanogaster. PLoS ONE. 10(5). e0128101–e0128101. 53 indexed citations
8.
Yamazaki, Daisuke, Junjiro Horiuchi, Kohei Ueno, et al.. (2014). Glial Dysfunction Causes Age-Related Memory Impairment in Drosophila. Neuron. 84(4). 753–763. 44 indexed citations
9.
Ueno, Taro & Kazuhiko Kume. (2014). Functional characterization of dopamine transporter in vivo using Drosophila melanogaster behavioral assays. Frontiers in Behavioral Neuroscience. 8. 303–303. 30 indexed citations
10.
Ueno, Taro & Takashi Funatsu. (2014). Label-Free Quantification of MicroRNAs Using Ligase-Assisted Sandwich Hybridization on a DNA Microarray. PLoS ONE. 9(3). e90920–e90920. 26 indexed citations
11.
Ueno, Taro, Naoki Masuda, Shoen Kume, & Kazuhiko Kume. (2012). Dopamine Modulates the Rest Period Length without Perturbation of Its Power Law Distribution in Drosophila melanogaster. PLoS ONE. 7(2). e32007–e32007. 28 indexed citations
12.
Iizuka, Ryo, et al.. (2012). Single-molecule Observation of Protein Folding in Symmetric GroEL-(GroES)2 Complexes. Journal of Biological Chemistry. 287(49). 41118–41125. 23 indexed citations
13.
Tomita, Jun, et al.. (2011). High calorie diet augments age-associats sleep impairment in Drosophila. Biochemical and Biophysical Research Communications. 417(2). 812–816. 25 indexed citations
14.
Sameshima, Tomoya, Ryo Iizuka, Taro Ueno, et al.. (2010). Single-molecule Study on the Decay Process of the Football-shaped GroEL-GroES Complex Using Zero-mode Waveguides. Journal of Biological Chemistry. 285(30). 23159–23164. 30 indexed citations
15.
Uemura, Sotaro, Ryo Iizuka, Taro Ueno, et al.. (2008). Single-molecule imaging of full protein synthesis by immobilized ribosomes. Nucleic Acids Research. 36(12). e70–e70. 38 indexed citations
16.
Sameshima, Tomoya, Taro Ueno, Ryo Iizuka, et al.. (2008). Football- and Bullet-shaped GroEL-GroES Complexes Coexist during the Reaction Cycle. Journal of Biological Chemistry. 283(35). 23765–23773. 39 indexed citations
17.
Suzuki, Mihoko, Taro Ueno, Ryo Iizuka, et al.. (2008). Effect of the C-terminal Truncation on the Functional Cycle of Chaperonin GroEL. Journal of Biological Chemistry. 283(35). 23931–23939. 25 indexed citations
18.
Sato, Yukiko, Takahiro Arakawa, Tomoya Sameshima, et al.. (2006). Multi-reagents high speed exchange flow system for single biomolecutar dynamics real time monitoring.
19.
Taguchi, Hideki, Taro Ueno, Hisashi Tadakuma, Masasuke Yoshida, & Takashi Funatsu. (2001). Single-molecule observation of protein–protein interactions in the chaperonin system. Nature Biotechnology. 19(9). 861–865. 89 indexed citations
20.
Mukai, Toshiji, et al.. (1984). EFFECT OF ACETALDEHYDE ON INTRACEREBRAL CONCENTRATIONS OF CATECHOLAMINES. Alcoholism Clinical and Experimental Research. 8(1). 109. 10 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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