Kohei Ueno

792 total citations
19 papers, 603 citations indexed

About

Kohei Ueno is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Kohei Ueno has authored 19 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Kohei Ueno's work include Neurobiology and Insect Physiology Research (17 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Invertebrate Immune Response Mechanisms (4 papers). Kohei Ueno is often cited by papers focused on Neurobiology and Insect Physiology Research (17 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Invertebrate Immune Response Mechanisms (4 papers). Kohei Ueno collaborates with scholars based in Japan and United States. Kohei Ueno's co-authors include Minoru Saitoe, Shintaro Naganos, Kunio Isono, Junjiro Horiuchi, Yoshiaki Kidokoro, Yukinori Hirano, Masayuki Ohta, Hiromi Morita, Kazuo Yamamoto and Satoshi Nakajima and has published in prestigious journals such as Science, Journal of the American Chemical Society and Neuron.

In The Last Decade

Kohei Ueno

19 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kohei Ueno Japan 12 407 177 133 124 81 19 603
Daniel Bucher Germany 9 526 1.3× 344 1.9× 96 0.7× 195 1.6× 30 0.4× 9 833
Ken Honjo Japan 12 506 1.2× 190 1.1× 133 1.0× 203 1.6× 20 0.2× 18 710
Elizabeth Brown United States 20 231 0.6× 497 2.8× 89 0.7× 106 0.9× 48 0.6× 48 1.1k
Thierry Cens France 20 517 1.3× 767 4.3× 154 1.2× 96 0.8× 58 0.7× 56 1.1k
Jaime Becnel United States 7 320 0.8× 202 1.1× 90 0.7× 94 0.8× 42 0.5× 8 691
Maria L. Spletter Germany 13 419 1.0× 386 2.2× 81 0.6× 179 1.4× 18 0.2× 20 790
Bernhard T. Hovemann Germany 19 588 1.4× 358 2.0× 210 1.6× 186 1.5× 18 0.2× 23 1.0k
Thang M. Khuong Australia 11 159 0.4× 190 1.1× 43 0.3× 56 0.5× 63 0.8× 16 447
Stacey S. Willard United States 10 425 1.0× 365 2.1× 82 0.6× 144 1.2× 16 0.2× 14 870
Brendan Mullaney United States 10 171 0.4× 294 1.7× 46 0.3× 295 2.4× 41 0.5× 12 679

Countries citing papers authored by Kohei Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Ueno

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

All Works

19 of 19 papers shown
1.
Naganos, Shintaro, Kohei Ueno, Junjiro Horiuchi, & Minoru Saitoe. (2022). Dopamine activity in projection neurons regulates short‐lasting olfactory approach memory in Drosophila. European Journal of Neuroscience. 56(5). 4558–4571. 5 indexed citations
2.
Saitoe, Minoru, et al.. (2021). A non-canonical on-demand dopaminergic transmission underlying olfactory aversive learning. Neuroscience Research. 178. 1–9. 5 indexed citations
3.
Morstein, Johannes, Denis Höfler, Kohei Ueno, et al.. (2020). Ligand-Directed Approach to Activity-Based Sensing: Developing Palladacycle Fluorescent Probes That Enable Endogenous Carbon Monoxide Detection. Journal of the American Chemical Society. 142(37). 15917–15930. 71 indexed citations
4.
Ueno, Kohei, Johannes Morstein, Shintaro Naganos, et al.. (2020). Carbon Monoxide, a Retrograde Messenger Generated in Postsynaptic Mushroom Body Neurons, Evokes Noncanonical Dopamine Release. Journal of Neuroscience. 40(18). 3533–3548. 12 indexed citations
5.
Ueno, Kohei, et al.. (2018). Synaptic depression induced by postsynaptic cAMP production in the Drosophila mushroom body calyx. The Journal of Physiology. 596(12). 2447–2461. 2 indexed citations
6.
Ueno, Kohei, et al.. (2017). A Drosophila ex vivo model of olfactory appetitive learning. Scientific Reports. 7(1). 17725–17725. 1 indexed citations
7.
8.
Naganos, Shintaro, Kohei Ueno, Junjiro Horiuchi, & Minoru Saitoe. (2016). Learning defects in Drosophila growth restricted chico mutants are caused by attenuated adenylyl cyclase activity. Molecular Brain. 9(1). 37–37. 6 indexed citations
9.
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
10.
Hirano, Yukinori, Tomoko Masuda, Shintaro Naganos, et al.. (2013). Fasting Launches CRTC to Facilitate Long-Term Memory Formation in Drosophila. Science. 339(6118). 443–446. 103 indexed citations
11.
Kamimura, Keisuke, et al.. (2013). Perlecan regulates bidirectional Wnt signaling at the Drosophila neuromuscular junction. The Journal of Cell Biology. 200(2). 219–233. 56 indexed citations
12.
Ueno, Kohei, Shintaro Naganos, Yukinori Hirano, Junjiro Horiuchi, & Minoru Saitoe. (2012). Long‐term enhancement of synaptic transmission between antennal lobe and mushroom body in cultured Drosophila brain. The Journal of Physiology. 591(1). 287–302. 27 indexed citations
13.
Kuromi, Hiroshi, Kohei Ueno, & Yoshiaki Kidokoro. (2010). Two types of Ca2+ channel linked to two endocytic pathways coordinately maintain synaptic transmission at the Drosophila synapse. European Journal of Neuroscience. 32(3). 335–346. 12 indexed citations
14.
Ueno, Kohei & Yoshiaki Kidokoro. (2008). Adenylyl cyclase encoded by AC78C participates in sugar perception in Drosophila melanogaster. European Journal of Neuroscience. 28(10). 1956–1966. 16 indexed citations
15.
Ueno, Kohei, et al.. (2006). Gs  Is Involved in Sugar Perception in Drosophila melanogaster. Journal of Neuroscience. 26(23). 6143–6152. 47 indexed citations
16.
Kuromi, Hiroshi, et al.. (2004). Repetitive exposures to nicotine induce a hyper‐responsiveness via the cAMP/PKA/CREB signal pathway in Drosophila. Journal of Neurobiology. 60(2). 249–261. 24 indexed citations
17.
Isono, Kunio, Kohei Ueno, Masayuki Ohta, & Hiromi Morita. (2002). Drosophila sweet taste receptor. Pure and Applied Chemistry. 74(7). 1159–1165. 3 indexed citations
18.
Ueno, Kohei, Masayuki Ohta, Hiromi Morita, et al.. (2001). Trehalose sensitivity in Drosophila correlates with mutations in and expression of the gustatory receptor gene Gr5a. Current Biology. 11(18). 1451–1455. 135 indexed citations
19.
Tsuchihara, Kazuko, Kohei Ueno, Akira Yamanaka, et al.. (2000). A putative binding protein for lipophilic substances related to butterfly oviposition. FEBS Letters. 478(3). 299–303. 11 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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