Mitsuko Watabe‐Uchida

6.4k total citations · 4 hit papers
26 papers, 4.0k citations indexed

About

Mitsuko Watabe‐Uchida is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Mitsuko Watabe‐Uchida has authored 26 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Mitsuko Watabe‐Uchida's work include Neural dynamics and brain function (15 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Receptor Mechanisms and Signaling (8 papers). Mitsuko Watabe‐Uchida is often cited by papers focused on Neural dynamics and brain function (15 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Receptor Mechanisms and Signaling (8 papers). Mitsuko Watabe‐Uchida collaborates with scholars based in United States, Japan and China. Mitsuko Watabe‐Uchida's co-authors include Naoshige Uchida, Sachie K. Ogawa, Lisa Zhu, William Menegas, Joseph F. Bergan, Catherine Dulac, Wu Zheng, Anita E. Autry, Neir Eshel and Ryunosuke Amo and has published in prestigious journals such as Nature, Cell and Neuron.

In The Last Decade

Mitsuko Watabe‐Uchida

25 papers receiving 4.0k citations

Hit Papers

Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine... 2012 2026 2016 2021 2012 2014 2014 2025 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuko Watabe‐Uchida United States 20 2.1k 1.6k 1.4k 634 543 26 4.0k
Ian R. Wickersham United States 25 2.6k 1.2× 2.2k 1.3× 1.2k 0.9× 395 0.6× 471 0.9× 50 4.6k
Benjamin R. Arenkiel United States 35 1.7k 0.8× 942 0.6× 1.5k 1.1× 635 1.0× 269 0.5× 97 4.4k
Martin K. Schwarz Germany 32 2.0k 0.9× 942 0.6× 1.7k 1.2× 470 0.7× 847 1.6× 69 4.4k
Joanna Mattis United States 17 3.1k 1.4× 1.7k 1.0× 1.5k 1.1× 550 0.9× 318 0.6× 23 5.1k
Nobuaki Tamamaki Japan 42 3.9k 1.8× 2.1k 1.3× 1.9k 1.4× 438 0.7× 268 0.5× 107 6.0k
Hiroyuki Hioki Japan 36 3.0k 1.4× 1.8k 1.1× 1.7k 1.2× 391 0.6× 265 0.5× 93 5.4k
Julie J. Mirzabekov United States 6 2.2k 1.0× 1.4k 0.9× 1.3k 0.9× 357 0.6× 683 1.3× 6 4.5k
Ken Sugino United States 28 2.4k 1.1× 1.5k 0.9× 2.0k 1.5× 568 0.9× 223 0.4× 33 4.7k
Loreta Medina Spain 42 2.0k 0.9× 1.1k 0.7× 1.7k 1.3× 284 0.4× 1.1k 2.0× 98 4.9k
Ulla Pirvola Finland 38 2.5k 1.2× 1.3k 0.8× 2.6k 1.9× 558 0.9× 323 0.6× 69 6.6k

Countries citing papers authored by Mitsuko Watabe‐Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuko Watabe‐Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitsuko Watabe‐Uchida. 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 Mitsuko Watabe‐Uchida. The network helps show where Mitsuko Watabe‐Uchida may publish in the future.

Co-authorship network of co-authors of Mitsuko Watabe‐Uchida

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuko Watabe‐Uchida. A scholar is included among the top collaborators of Mitsuko Watabe‐Uchida 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 Mitsuko Watabe‐Uchida. Mitsuko Watabe‐Uchida 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.
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.
Kamath, Tarun, Rochelin Dalangin, Wengang Wang, et al.. (2025). Hunger modulates exploration through suppression of dopamine signaling in the tail of the striatum. Neuron. 113(23). 4055–4068.e8.
4.
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
5.
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
6.
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
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.
Tsutsui‐Kimura, Iku, Yu Xie, Alexander Mathis, et al.. (2022). Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction. Neuron. 110(22). 3789–3804.e9. 50 indexed citations
10.
Kim, HyungGoo R., Athar N. Malik, John G. Mikhael, et al.. (2020). A Unified Framework for Dopamine Signals across Timescales. Cell. 183(6). 1600–1616.e25. 147 indexed citations
11.
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
12.
Ogawa, Sachie K. & Mitsuko Watabe‐Uchida. (2017). Organization of dopamine and serotonin system: Anatomical and functional mapping of monosynaptic inputs using rabies virus. Pharmacology Biochemistry and Behavior. 174. 9–22. 30 indexed citations
13.
Menegas, William, Bénédicte M. Babayan, Naoshige Uchida, & Mitsuko Watabe‐Uchida. (2017). Opposite initialization to novel cues in dopamine signaling in ventral and posterior striatum in mice. eLife. 6. 165 indexed citations
14.
Matsumoto, Hideyuki, Ju Tian, Naoshige Uchida, & Mitsuko Watabe‐Uchida. (2016). Midbrain dopamine neurons signal aversion in a reward-context-dependent manner. eLife. 5. 78 indexed citations
15.
Tian, Ju, Ryan Huang, Jeremiah Y. Cohen, et al.. (2016). Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons. Neuron. 91(6). 1374–1389. 146 indexed citations
16.
Zheng, Wu, Anita E. Autry, Joseph F. Bergan, Mitsuko Watabe‐Uchida, & Catherine Dulac. (2014). Galanin neurons in the medial preoptic area govern parental behaviour. Nature. 509(7500). 325–330. 411 indexed citations breakdown →
17.
Ogawa, Sachie K., Jeremiah Y. Cohen, Dabin Hwang, Naoshige Uchida, & Mitsuko Watabe‐Uchida. (2014). Organization of Monosynaptic Inputs to the Serotonin and Dopamine Neuromodulatory Systems. Cell Reports. 8(4). 1105–1118. 180 indexed citations
18.
Krashes, Michael J., Bhavik P. Shah, Joseph C. Madara, et al.. (2014). An excitatory paraventricular nucleus to AgRP neuron circuit that drives hunger. Nature. 507(7491). 238–242. 473 indexed citations breakdown →
19.
Watabe‐Uchida, Mitsuko, et al.. (2006). The Rac Activator DOCK7 Regulates Neuronal Polarity through Local Phosphorylation of Stathmin/Op18. Neuron. 51(6). 727–739. 169 indexed citations
20.
Watabe‐Uchida, Mitsuko, Aki Masuda, Naoko Shimada, et al.. (2004). Novel metalloprotease–disintegrin, meltrin ϵ (ADAM35), expressed in epithelial tissues during chick embryogenesis. Developmental Dynamics. 230(3). 557–568. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026