Yasumasa Ueda

1.8k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Yasumasa Ueda is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Yasumasa Ueda has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 3 papers in Social Psychology. Recurrent topics in Yasumasa Ueda's work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Yasumasa Ueda is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (7 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Yasumasa Ueda collaborates with scholars based in Japan, United Kingdom and Ireland. Yasumasa Ueda's co-authors include Minoru Kimura, Kazuyuki Samejima, Kenji Doya, Hitoshi Asakawa, Takeshi Fukuma, Shunsuke Yoshioka, Naoyuki Matsumoto, Hitoshi Inokawa, Hiroshi Yamada and Takemasa Satoh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Yasumasa Ueda

17 papers receiving 1.3k citations

Hit Papers

Representation of Action-Specific Reward Values in the St... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasumasa Ueda Japan 11 727 354 271 168 107 17 1.3k
Natalia Petridou Netherlands 30 1.9k 2.7× 224 0.6× 186 0.7× 61 0.4× 111 1.0× 73 2.6k
Amanda Parker United Kingdom 26 1.3k 1.7× 505 1.4× 103 0.4× 197 1.2× 114 1.1× 85 2.1k
Kenichi Ueno Japan 24 1.1k 1.5× 387 1.1× 41 0.2× 187 1.1× 40 0.4× 67 1.7k
Jared B. Smith United States 27 1.1k 1.5× 723 2.0× 26 0.1× 144 0.9× 65 0.6× 50 1.6k
Diana J. Vincent United States 15 703 1.0× 249 0.7× 105 0.4× 52 0.3× 96 0.9× 30 1.4k
Andrew F. Rossi United States 16 2.0k 2.7× 812 2.3× 177 0.7× 129 0.8× 189 1.8× 24 2.6k
Robert A. Marino United States 20 630 0.9× 94 0.3× 139 0.5× 87 0.5× 36 0.3× 55 1.3k
Jin Hyung Lee United States 19 771 1.1× 635 1.8× 125 0.5× 192 1.1× 485 4.5× 39 2.3k
Andrew Peters United Kingdom 16 898 1.2× 91 0.3× 162 0.6× 46 0.3× 88 0.8× 27 1.8k
Denis Schluppeck United Kingdom 22 1.7k 2.3× 149 0.4× 53 0.2× 57 0.3× 69 0.6× 37 1.8k

Countries citing papers authored by Yasumasa Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yasumasa Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasumasa Ueda

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

All Works

17 of 17 papers shown
1.
Takanami, Keiko, Takumi Oti, Yasuhisa Kobayashi, et al.. (2022). Characterization of the expression of gastrin‐releasing peptide and its receptor in the trigeminal and spinal somatosensory systems of Japanese macaque monkeys: Insight into humans. The Journal of Comparative Neurology. 530(16). 2804–2819. 4 indexed citations
2.
Maejima, Sho, Takumi Oti, Keita Satoh, et al.. (2021). Immunoelectron Microscopic Characterization of Vasopressin-Producing Neurons in the Hypothalamo-Pituitary Axis of Non-Human Primates by Use of Formaldehyde-Fixed Tissues Stored at −25 °C for Several Years. International Journal of Molecular Sciences. 22(17). 9180–9180. 3 indexed citations
4.
Maejima, Sho, Keita Satoh, Takumi Oti, et al.. (2020). Variation of pro‐vasopressin processing in parvocellular and magnocellular neurons in the paraventricular nucleus of the hypothalamus: Evidence from the vasopressin‐related glycopeptide copeptin. The Journal of Comparative Neurology. 529(7). 1372–1390. 11 indexed citations
5.
Nishitani, Naoya, Masaharu Yasuda, Yasumasa Ueda, et al.. (2019). Identification of neuron-type specific promoters in monkey genome and their functional validation in mice. Biochemical and Biophysical Research Communications. 518(4). 619–624. 7 indexed citations
6.
Ueda, Yasumasa, Ko Yamanaka, Atsushi Noritake, et al.. (2017). Distinct Functions of the Primate Putamen Direct and Indirect Pathways in Adaptive Outcome-Based Action Selection. Frontiers in Neuroanatomy. 11. 66–66. 11 indexed citations
7.
Yamada, Hiroshi, Hitoshi Inokawa, Naoyuki Matsumoto, et al.. (2012). Coding of the long-term value of multiple future rewards in the primate striatum. Journal of Neurophysiology. 109(4). 1140–1151. 13 indexed citations
8.
Yamada, Hiroshi, Hitoshi Inokawa, Naoyuki Matsumoto, Yasumasa Ueda, & Minoru Kimura. (2011). Neuronal basis for evaluating selected action in the primate striatum. European Journal of Neuroscience. 34(3). 489–506. 15 indexed citations
9.
Inokawa, Hitoshi, Hiroshi Yamada, Yasumasa Ueda, et al.. (2011). Inactivation of the putamen selectively impairs reward history-based action selection. Experimental Brain Research. 209(2). 235–246. 39 indexed citations
10.
Enomoto, Kazuki, Naoyuki Matsumoto, Sadamu Nakai, et al.. (2011). Dopamine neurons learn to encode the long-term value of multiple future rewards. Proceedings of the National Academy of Sciences. 108(37). 15462–15467. 57 indexed citations
11.
Yamanaka, Ko, Yukiko Hori, Yasumasa Ueda, Takafumi Minamimoto, & Minoru Kimura. (2010). Signals of reward value and actions represented in the neuronal activity of CM thalamus. Neuroscience Research. 68. e293–e293. 1 indexed citations
12.
Fukuma, Takeshi, Yasumasa Ueda, Shunsuke Yoshioka, & Hitoshi Asakawa. (2010). Atomic-Scale Distribution of Water Molecules at the Mica-Water Interface Visualized by Three-Dimensional Scanning Force Microscopy. Physical Review Letters. 104(1). 16101–16101. 366 indexed citations
13.
Samejima, Kazuyuki, Yasumasa Ueda, Kenji Doya, & Minoru Kimura. (2007). Action value in the striatum and reinforcement-learning model of cortico-basal ganglia network. Neuroscience Research. 58. S22–S22. 1 indexed citations
14.
Samejima, Kazuyuki, Yasumasa Ueda, Kenji Doya, & Minoru Kimura. (2005). Representation of Action-Specific Reward Values in the Striatum. Science. 310(5752). 1337–1340. 669 indexed citations breakdown →
15.
Samejima, Kazuyuki, Kenji Doya, Yasumasa Ueda, & Minoru Kimura. (2003). Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. 16. 1335–1342. 13 indexed citations
16.
Kimura, Minoru, Naoyuki Matsumoto, Yasumasa Ueda, et al.. (2003). Goal-directed, serial and synchronous activation of neurons in the primate striatum. Neuroreport. 14(6). 799–802. 31 indexed citations
17.
Ueda, Yasumasa & Minoru Kimura. (2003). Encoding of direction and combination of movements by primate putamen neurons. European Journal of Neuroscience. 18(4). 980–994. 25 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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