Ryunosuke Amo

2.4k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Ryunosuke Amo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ryunosuke Amo has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Ryunosuke Amo's work include Neural dynamics and brain function (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Zebrafish Biomedical Research Applications (7 papers). Ryunosuke Amo is often cited by papers focused on Neural dynamics and brain function (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Zebrafish Biomedical Research Applications (7 papers). Ryunosuke Amo collaborates with scholars based in Japan, United States and China. Ryunosuke Amo's co-authors include Hitoshi Okamoto, Tazu Aoki, Mikako Takahoko, Hidenori Aizawa, Mitsuko Watabe‐Uchida, Naoshige Uchida, Masakazu Agetsuma, William Menegas, Shin‐ichi Higashijima and Toshiyuki Shiraki and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Ryunosuke Amo

17 papers receiving 1.5k citations

Hit Papers

A hypothalamic circuit underlying the dynamic control of ... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryunosuke Amo Japan 11 703 589 489 426 204 17 1.5k
Nobuhiko Miyasaka Japan 19 315 0.4× 729 1.2× 202 0.4× 390 0.9× 123 0.6× 30 1.5k
Thomas Mueller United States 24 992 1.4× 603 1.0× 343 0.7× 1.3k 3.0× 236 1.2× 41 2.4k
Prabhat S. Kunwar United States 12 852 1.2× 634 1.1× 489 1.0× 206 0.5× 326 1.6× 13 1.9k
Soojin Ryu Germany 28 1.4k 1.9× 749 1.3× 285 0.6× 1.2k 2.9× 319 1.6× 62 2.8k
Julián Yáñez Spain 25 520 0.7× 505 0.9× 150 0.3× 484 1.1× 103 0.5× 54 1.4k
Suresh Jesuthasan Singapore 25 980 1.4× 560 1.0× 268 0.5× 1.0k 2.4× 202 1.0× 52 2.1k
Harold A. Burgess United States 27 1.0k 1.5× 815 1.4× 497 1.0× 1.5k 3.6× 105 0.5× 48 2.5k
Joel C. Glover Norway 33 1.5k 2.1× 1.1k 1.9× 241 0.5× 700 1.6× 109 0.5× 122 3.2k
Paolo Peretto Italy 29 852 1.2× 1.2k 2.1× 183 0.4× 168 0.4× 335 1.6× 65 3.1k
Peter Wenner United States 25 625 0.9× 1.2k 2.0× 481 1.0× 410 1.0× 69 0.3× 49 1.8k

Countries citing papers authored by Ryunosuke Amo

Since Specialization
Citations

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

Fields of papers citing papers by Ryunosuke Amo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryunosuke Amo

This figure shows the co-authorship network connecting the top 25 collaborators of Ryunosuke Amo. A scholar is included among the top collaborators of Ryunosuke Amo 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 Ryunosuke Amo. Ryunosuke Amo 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.
Tsutsui‐Kimura, Iku, Ryunosuke Amo, Yulong Li, et al.. (2025). Dopamine in the tail of the striatum facilitates avoidance in threat–reward conflicts. Nature Neuroscience. 28(4). 795–810. 8 indexed citations
2.
Liu, Ding, Mohammed Mostafizur Rahman, Ryunosuke Amo, et al.. (2025). A hypothalamic circuit underlying the dynamic control of social homeostasis. Nature. 640(8060). 1000–1010. 14 indexed citations breakdown →
3.
Amo, Ryunosuke, Naoshige Uchida, & Mitsuko Watabe‐Uchida. (2024). Glutamate inputs send prediction error of reward, but not negative value of aversive stimuli, to dopamine neurons. Neuron. 112(6). 1001–1019.e6. 9 indexed citations
4.
Amo, Ryunosuke, et al.. (2024). Shifting attention to orient or avoid: a unifying account of the tail of the striatum and its dopaminergic inputs. Current Opinion in Behavioral Sciences. 59. 101441–101441. 5 indexed citations
5.
Cai, Xintong, Changliang Liu, Iku Tsutsui‐Kimura, et al.. (2024). Dopamine dynamics are dispensable for movement but promote reward responses. Nature. 635(8038). 406–414. 19 indexed citations
6.
Amo, Ryunosuke. (2023). Prediction error in dopamine neurons during associative learning. Neuroscience Research. 199. 12–20. 1 indexed citations
7.
Amo, Ryunosuke, Sara Matias, Akihiro Yamanaka, et al.. (2022). A gradual temporal shift of dopamine responses mirrors the progression of temporal difference error in machine learning. Nature Neuroscience. 25(8). 1082–1092. 44 indexed citations
8.
Menegas, William, et al.. (2018). Dopamine neurons projecting to the posterior striatum reinforce avoidance of threatening stimuli. Nature Neuroscience. 21(10). 1421–1430. 228 indexed citations
9.
Maruyama, Kazuhiro, Hisaya Kakinuma, Ryunosuke Amo, et al.. (2018). Optical interrogation of neuronal circuitry in zebrafish using genetically encoded voltage indicators. Scientific Reports. 8(1). 6048–6048. 16 indexed citations
10.
Kakinuma, Hisaya, et al.. (2018). Optical measurement of neuronal activity in the developing cerebellum of zebrafish using voltage-sensitive dye imaging. Neuroreport. 29(16). 1349–1354. 7 indexed citations
11.
Chou, Ming‐Yi, Ryunosuke Amo, Masae Kinoshita, et al.. (2016). Social conflict resolution regulated by two dorsal habenular subregions in zebrafish. Science. 352(6281). 87–90. 131 indexed citations
12.
Amo, Ryunosuke, Felipe Fredes, Masae Kinoshita, et al.. (2014). The Habenulo-Raphe Serotonergic Circuit Encodes an Aversive Expectation Value Essential for Adaptive Active Avoidance of Danger. Neuron. 84(5). 1034–1048. 143 indexed citations
13.
Aoki, Tazu, Masae Kinoshita, Ryo Aoki, et al.. (2013). Imaging of Neural Ensemble for the Retrieval of a Learned Behavioral Program. Neuron. 78(5). 881–894. 75 indexed citations
14.
Agetsuma, Masakazu, Hidenori Aizawa, Tazu Aoki, et al.. (2010). The habenula is crucial for experience-dependent modification of fear responses in zebrafish. Nature Neuroscience. 13(11). 1354–1356. 287 indexed citations
15.
Amo, Ryunosuke, Hidenori Aizawa, Mikako Takahoko, et al.. (2010). Identification of the Zebrafish Ventral Habenula As a Homolog of the Mammalian Lateral Habenula. Journal of Neuroscience. 30(4). 1566–1574. 193 indexed citations
16.
Amo, Ryunosuke, Hidenori Aizawa, R. Takahashi, et al.. (2009). Identification of the zebrafish ventral habenula as a homologue of the mammalian lateral habenula. Neuroscience Research. 65. S227–S227. 2 indexed citations
17.
Razzaque, Abdur, Tsutomu Nishizawa, Yuta Komoike, et al.. (2007). Germline gain-of-function mutations in RAF1 cause Noonan syndrome. Nature Genetics. 39(8). 1013–1017. 343 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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