Tatsuya Haga

10.6k total citations · 2 hit papers
157 papers, 8.6k citations indexed

About

Tatsuya Haga is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Tatsuya Haga has authored 157 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 80 papers in Cellular and Molecular Neuroscience and 17 papers in Cognitive Neuroscience. Recurrent topics in Tatsuya Haga's work include Receptor Mechanisms and Signaling (88 papers), Neuroscience and Neuropharmacology Research (45 papers) and Ion channel regulation and function (26 papers). Tatsuya Haga is often cited by papers focused on Receptor Mechanisms and Signaling (88 papers), Neuroscience and Neuropharmacology Research (45 papers) and Ion channel regulation and function (26 papers). Tatsuya Haga collaborates with scholars based in Japan, United States and United Kingdom. Tatsuya Haga's co-authors include Kazuko Haga, Kimihiko Kameyama, Arata Ichiyama, Takashi Okuda, Haruhiko Noda, Masanori Kurokawa, Hideo Takahashi, Hisayuki Matsuo, Kenji Kangawa and Shosaku Numa and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Tatsuya Haga

153 papers receiving 8.2k citations

Hit Papers

Cloning, sequencing and e... 1986 2026 1999 2012 1986 2012 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
Tatsuya Haga Japan 50 6.3k 4.4k 689 608 607 157 8.6k
Randy A. Hall United States 55 6.1k 1.0× 4.0k 0.9× 1.2k 1.8× 507 0.8× 332 0.5× 133 8.5k
John K. Northup United States 42 5.4k 0.9× 2.0k 0.5× 1.3k 2.0× 484 0.8× 279 0.5× 84 7.1k
R. A. John Challiss United Kingdom 50 5.9k 0.9× 3.5k 0.8× 1.2k 1.7× 357 0.6× 371 0.6× 252 8.8k
Mark R. Brann United States 49 7.8k 1.2× 6.4k 1.5× 401 0.6× 216 0.4× 207 0.3× 112 10.3k
Stefan R. Nahorski United Kingdom 58 8.8k 1.4× 5.6k 1.3× 1.5k 2.2× 574 0.9× 442 0.7× 277 11.9k
Naoaki Saito Japan 53 5.7k 0.9× 3.0k 0.7× 1.4k 2.0× 350 0.6× 564 0.9× 245 9.1k
Joachim W. Deitmer Germany 52 5.1k 0.8× 3.9k 0.9× 429 0.6× 204 0.3× 402 0.7× 208 8.6k
Neville N. Osborne United Kingdom 58 7.9k 1.2× 4.8k 1.1× 642 0.9× 390 0.6× 175 0.3× 315 13.1k
Laurent Prézeau France 46 5.1k 0.8× 5.0k 1.1× 298 0.4× 838 1.4× 289 0.5× 97 6.9k
Catherine D. Strader United States 58 9.8k 1.6× 6.7k 1.5× 487 0.7× 1.0k 1.7× 229 0.4× 144 14.1k

Countries citing papers authored by Tatsuya Haga

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Haga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Haga

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Haga. A scholar is included among the top collaborators of Tatsuya Haga 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 Tatsuya Haga. Tatsuya Haga 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.
Haga, Tatsuya, Noriaki Ohkawa, Chi Chung Alan Fung, et al.. (2025). Parallel processing of past and future memories through reactivation and synaptic plasticity mechanisms during sleep. Nature Communications. 16(1). 3618–3618. 1 indexed citations
2.
Haga, Tatsuya, Yohei Oseki, & Tomoki Fukai. (2025). A unified neural representation model for spatial and conceptual computations. Proceedings of the National Academy of Sciences. 122(11). e2413449122–e2413449122.
3.
Haga, Tatsuya, et al.. (2022). Multiscale and Extended Retrieval of Associative Memory Structures in a Cortical Model of Local-Global Inhibition Balance. eNeuro. 9(3). ENEURO.0023–22.2022. 2 indexed citations
4.
Haga, Tatsuya & Tomoki Fukai. (2021). Multiscale representations of community structures in attractor neural networks. PLoS Computational Biology. 17(8). e1009296–e1009296. 5 indexed citations
5.
Fukai, Tomoki, et al.. (2021). Neural mechanisms for learning hierarchical structures of information. Current Opinion in Neurobiology. 70. 145–153. 3 indexed citations
6.
Haga, Tatsuya & Tomoki Fukai. (2018). Dendritic processing of spontaneous neuronal sequences for single-trial learning. Scientific Reports. 8(1). 15166–15166. 11 indexed citations
7.
Haga, Tatsuya, et al.. (2018). Neuronal stability in medial frontal cortex sets individual variability in decision-making. Nature Neuroscience. 21(12). 1764–1773. 17 indexed citations
8.
Haga, Tatsuya & Tomoki Fukai. (2018). Recurrent network model for learning goal-directed sequences through reverse replay. eLife. 7. 20 indexed citations
9.
Yamada, Haruhiko, Shinobu Imajoh‐Ohmi, & Tatsuya Haga. (2012). The high-affinity choline transporter CHT1 is regulated by the ubiquitin ligase Nedd4-2. Biomedical Research. 33(1). 1–8. 15 indexed citations
10.
Haga, Tatsuya, et al.. (2007). Ligand screening system using fusion proteins of G protein-coupled receptors with G protein α subunits. Neurochemistry International. 51(2-4). 140–164. 11 indexed citations
11.
Kajiya, Kentaro, Koichiro Inaki, Motonari Tanaka, et al.. (2001). Molecular Bases of Odor Discrimination: Reconstitution of Olfactory Receptors that Recognize Overlapping Sets of Odorants. Journal of Neuroscience. 21(16). 6018–6025. 278 indexed citations
12.
Khan, Iftikhar, et al.. (2001). Control of the Cardiac Muscarinic K+ Channel by β-Arrestin 2. Journal of Biological Chemistry. 276(15). 11691–11697. 7 indexed citations
13.
Mieda, Michihiro, Tatsuya Haga, & David Saffen. (1996). Promoter Region of the Rat m4 Muscarinic Acetylcholine Receptor Gene Contains a Cell Type-specific Silencer Element. Journal of Biological Chemistry. 271(9). 5177–5182. 52 indexed citations
14.
Boyett, Mark R., et al.. (1995). Receptor kinase‐dependent desensitization of the muscarinic K+ current in rat atrial cells.. The Journal of Physiology. 487(2). 359–366. 38 indexed citations
15.
Tsuga, Hirofumi, Kimihiko Kameyama, Tatsuya Haga, Hitoshi Kurose, & T Nagao. (1994). Sequestration of muscarinic acetylcholine receptor m2 subtypes. Facilitation by G protein-coupled receptor kinase (GRK2) and attenuation by a dominant-negative mutant of GRK2.. Journal of Biological Chemistry. 269(51). 32522–32527. 134 indexed citations
16.
Nakamura, Koji, Toshihide Nukada, Eiji Hirose, Tatsuya Haga, & Hiroyuki Sugiyama. (1992). Analyses of the interactions of metabotropic glutamate receptors, G proteins and phospholipase C in Xenopus oocytes. Neuroscience Research Supplements. 17. 85–85. 1 indexed citations
17.
Ohara, Koichi, Koichi Ohara, Kenshiro Ohara, et al.. (1990). Interaction of deglycosylate muscarinic receptors with ligands and G proteins. European Journal of Pharmacology Molecular Pharmacology. 189(6). 341–346. 14 indexed citations
18.
Kameyama, Kimihiko & Tatsuya Haga. (1990). [Muscarinic acetylcholine receptor].. PubMed. 35(4 Suppl). 677–86. 2 indexed citations
19.
20.
Haga, Tatsuya. (1980). Molecular size of muscarinic acetylcholine receptors of rat brain. FEBS Letters. 113(1). 68–72. 45 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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