Takemasa Satoh

549 total citations
8 papers, 412 citations indexed

About

Takemasa Satoh is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Takemasa Satoh has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Takemasa Satoh's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neural dynamics and brain function (2 papers). Takemasa Satoh is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neural dynamics and brain function (2 papers). Takemasa Satoh collaborates with scholars based in Japan and United Kingdom. Takemasa Satoh's co-authors include Minoru Kimura, Sadamu Nakai, Tatsuo K. Sato, Yoshio Hata, Naoyuki Matsumoto, Yasumasa Ueda, Hirofumi Kurata, Tetsuji Mori, Hitoshi Inokawa and Masahiko Haruno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Takemasa Satoh

8 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Takemasa Satoh Japan	8	264	229	127	45	22	8	412
Sabrina Ravel France	12	407 1.5×	357 1.6×	190 1.5×	64 1.4×	15 0.7×	19	547
Anita Cybulska-Kłosowicz Poland	13	257 1.0×	277 1.2×	128 1.0×	49 1.1×	51 2.3×	24	460
Courtney M. Cameron United States	8	251 1.0×	334 1.5×	162 1.3×	21 0.5×	14 0.6×	9	453
Martin Guthrie France	9	212 0.8×	132 0.6×	42 0.3×	56 1.2×	16 0.7×	11	346
Sébastien Delcasso France	8	211 0.8×	257 1.1×	78 0.6×	43 1.0×	15 0.7×	13	433
Verena Aliane Germany	8	187 0.7×	240 1.0×	69 0.5×	40 0.9×	28 1.3×	11	322
Emilie Syed United Kingdom	8	254 1.0×	294 1.3×	101 0.8×	139 3.1×	9 0.4×	9	461
Beatrice K. Leung Australia	10	318 1.2×	321 1.4×	115 0.9×	23 0.5×	20 0.9×	14	493
Kurt M. Fraser United States	11	237 0.9×	277 1.2×	120 0.9×	21 0.5×	14 0.6×	16	405
Weston Fleming United States	7	303 1.1×	287 1.3×	146 1.1×	19 0.4×	7 0.3×	10	461

Countries citing papers authored by Takemasa Satoh

Since Specialization

Citations

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

Fields of papers citing papers by Takemasa Satoh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takemasa Satoh

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

All Works

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8 of 8 papers shown

1.

Kurata, Hirofumi, et al.. (2019). Evaluation of Fluoro-Jade C Staining: Specificity and Application to Damaged Immature Neuronal Cells in the Normal and Injured Mouse Brain. Neuroscience. 425. 146–156. 42 indexed citations

2.

Saito, K., Taro Koike, Hirofumi Kurata, et al.. (2018). Identification of NeuN immunopositive cells in the adult mouse subventricular zone. The Journal of Comparative Neurology. 526(12). 1927–1942. 10 indexed citations

3.

Satoh, Takemasa, et al.. (2014). In vivo electroporation to physiologically identified deep brain regions in postnatal mammals. Brain Structure and Function. 220(3). 1307–1316. 13 indexed citations

4.

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

5.

Yoshida, Miho, Takemasa Satoh, Kouichi Nakamura, Takeshi Kaneko, & Yoshio Hata. (2009). Cortical activity regulates corticothalamic synapses in dorsal lateral geniculate nucleus of rats. Neuroscience Research. 64(1). 118–127. 14 indexed citations

6.

Kimura, Minoru, Takemasa Satoh, & Naoyuki Matsumoto. (2007). What does the habenula tell dopamine neurons?. Nature Neuroscience. 10(6). 677–678. 16 indexed citations

7.

Satoh, Takemasa, Sadamu Nakai, Tatsuo K. Sato, & Minoru Kimura. (2003). Correlated Coding of Motivation and Outcome of Decision by Dopamine Neurons. Journal of Neuroscience. 23(30). 9913–9923. 229 indexed citations

8.

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

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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