Dai Hatakeyama

1.8k total citations
66 papers, 1.5k citations indexed

About

Dai Hatakeyama is a scholar working on Cellular and Molecular Neuroscience, Ecology and Molecular Biology. According to data from OpenAlex, Dai Hatakeyama has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 17 papers in Ecology and 13 papers in Molecular Biology. Recurrent topics in Dai Hatakeyama's work include Neurobiology and Insect Physiology Research (33 papers), Physiological and biochemical adaptations (17 papers) and Influenza Virus Research Studies (8 papers). Dai Hatakeyama is often cited by papers focused on Neurobiology and Insect Physiology Research (33 papers), Physiological and biochemical adaptations (17 papers) and Influenza Virus Research Studies (8 papers). Dai Hatakeyama collaborates with scholars based in Japan, Canada and Taiwan. Dai Hatakeyama's co-authors include Etsuro Ito, Hisayo Sadamoto, Takashi Kuzuhara, Yutaka Fujito, Ken Lukowiak, Noriko Echigo, Takayuki Watanabe, Satoshi Kojima, Suguru Kobayashi and Hitoshi Aonuma and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Dai Hatakeyama

66 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dai Hatakeyama Japan 24 767 394 280 219 190 66 1.5k
V. W. Pentreath United Kingdom 28 1.1k 1.4× 548 1.4× 153 0.5× 264 1.2× 300 1.6× 79 2.2k
Scott D. Feighner United States 29 724 0.9× 1.2k 2.9× 238 0.8× 222 1.0× 351 1.8× 44 5.7k
William W. Ja United States 30 973 1.3× 975 2.5× 219 0.8× 64 0.3× 84 0.4× 59 3.1k
Roel C. van der Schors Netherlands 31 1.2k 1.6× 1.6k 4.0× 121 0.4× 226 1.0× 75 0.4× 49 3.0k
Mario de Bono United Kingdom 29 781 1.0× 955 2.4× 264 0.9× 87 0.4× 32 0.2× 51 3.7k
Takayuki Watanabe Japan 20 411 0.5× 256 0.6× 103 0.4× 74 0.3× 29 0.2× 67 964
Teiichi Tanimura Japan 33 2.4k 3.2× 856 2.2× 253 0.9× 70 0.3× 171 0.9× 96 3.9k
Maki Kaneko United States 25 2.3k 3.0× 456 1.2× 111 0.4× 196 0.9× 96 0.5× 55 4.0k
Tsai‐Feng Fu Taiwan 17 769 1.0× 277 0.7× 123 0.4× 75 0.3× 76 0.4× 34 1.1k
Hisayo Sadamoto Japan 21 747 1.0× 239 0.6× 261 0.9× 246 1.1× 8 0.0× 36 1.1k

Countries citing papers authored by Dai Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by Dai Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Hatakeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Hatakeyama. A scholar is included among the top collaborators of Dai Hatakeyama 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 Dai Hatakeyama. Dai Hatakeyama 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.
2.
Hatakeyama, Dai, et al.. (2023). Genes Upregulated by Operant Conditioning of Escape Behavior in the Pond Snail Lymnaea stagnalis. ZOOLOGICAL SCIENCE. 40(5). 375–381. 2 indexed citations
3.
Hatakeyama, Dai, et al.. (2023). Expression Level Changes in Serotonin Transporter are Associated with Food Deprivation in the Pond Snail Lymnaea stagnalis. ZOOLOGICAL SCIENCE. 40(5). 382–389. 2 indexed citations
4.
Hatakeyama, Dai, et al.. (2023). FOXO in Lymnaea: Its Probable Involvement in Memory Consolidation. Biology. 12(9). 1201–1201. 1 indexed citations
5.
Hatakeyama, Dai, et al.. (2022). Insulin and Memory in Invertebrates. Frontiers in Behavioral Neuroscience. 16. 882932–882932. 16 indexed citations
6.
Hatakeyama, Dai, et al.. (2022). Profile of dorsal root ganglion neurons: study of oxytocin expression. Molecular Brain. 15(1). 44–44. 8 indexed citations
7.
Hatakeyama, Dai, Masaki Shoji, Seiryo Ogata, et al.. (2021). Acetylation of the influenza A virus polymerase subunit PA in the N‐terminal domain positively regulates its endonuclease activity. FEBS Journal. 289(1). 231–245. 12 indexed citations
8.
Aonuma, Hitoshi, et al.. (2017). Weak involvement of octopamine in aversive taste learning in a snail. Neurobiology of Learning and Memory. 141. 189–198. 13 indexed citations
9.
Hiasa, Miki, Yasushi Kishimoto, Yasuaki Kimura, et al.. (2013). Inhibition of MAO‐A and stimulation of behavioural activities in mice by the inactive prodrug form of the anti‐influenza agent oseltamivir. British Journal of Pharmacology. 169(1). 115–129. 22 indexed citations
10.
Tsurumura, Toshiharu, Hao Qiu, Toru Yoshida, et al.. (2013). Conformational Polymorphism of m7GTP in Crystal Structure of the PB2 Middle Domain from Human Influenza A Virus. PLoS ONE. 8(11). e82020–e82020. 6 indexed citations
11.
Mita, Koichi, Akiko Okuta, Ryuichi Okada, et al.. (2013). What are the elements of motivation for acquisition of conditioned taste aversion?. Neurobiology of Learning and Memory. 107. 1–12. 29 indexed citations
12.
Hatakeyama, Dai, Koichi Mita, Suguru Kobayashi, et al.. (2009). Glutamate transporters in the central nervous system of a pond snail. Journal of Neuroscience Research. 88(6). 1374–1386. 6 indexed citations
13.
Watanabe, Takayuki, Mika Kikuchi, Dai Hatakeyama, et al.. (2007). Gaseous neuromodulator‐related genes expressed in the brain of honeybee Apis mellifera. Developmental Neurobiology. 67(4). 456–473. 17 indexed citations
14.
Wagatsuma, Akiko, Hisayo Sadamoto, Dai Hatakeyama, et al.. (2006). Altered gene activity correlated with long‐term memory formation of conditioned taste aversion in Lymnaea. Journal of Neuroscience Research. 84(7). 1610–1620. 56 indexed citations
15.
Wagatsuma, Akiko, et al.. (2004). The early snail acquires the learning. Comparison of scores for conditioned taste aversion between morning and afternoon. Acta Biologica Hungarica. 55(1-4). 149–155. 43 indexed citations
16.
Hatakeyama, Dai, Hisayo Sadamoto, & Etsuro Ito. (2004). Real-time Quantitative RT-PCR method for estimation of mRNA level of CCAAT/enhancer binding protein in the central nervous system ofLymnaea stagnalis. Acta Biologica Hungarica. 55(1-4). 157–161. 12 indexed citations
17.
Yamamoto, Takehiro, et al.. (2004). Nitric oxide synthase and soluble guanylyl cyclase underlying the modulation of electrical oscillations in a central olfactory organ. Journal of Neurobiology. 62(1). 14–30. 28 indexed citations
18.
Sugimoto, Tohru, et al.. (2001). A Theoretical Study of Electronic and Structural States of Neurotransmitters:  -Aminobutyric Acid and Glutamic Acid. The Journal of Biochemistry. 129(6). 909–915. 13 indexed citations
19.
Hatakeyama, Dai, Iori Ito, Satoshi Kojima, Yutaka Fujito, & Etsuro Ito. (2000). Complement receptor 3-like immunoreactivity in the light green cells and the canopy cells of the pond snail, Lymnaea stagnalis. Brain Research. 865(1). 102–106. 13 indexed citations
20.
Hatakeyama, Dai & Etsuro Ito. (1999). Three-dimensional Reconstruction and Mapping of Serotonin-like Immunoreactive Neurons in the Central Nervous System of the Pond Snail, Lymnaea stagnalis, with the Confocal Laser Scanning Microscope. 7(1). 1–12. 28 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

Breakdown of academic impact, for papers by V. W. Pentreath Breakdown of academic impact, for papers by Scott D. Feighner Breakdown of academic impact, for papers by William W. Ja Breakdown of academic impact, for papers by Roel C. van der Schors Breakdown of academic impact, for papers by Mario de Bono Breakdown of academic impact, for papers by Takayuki Watanabe Breakdown of academic impact, for papers by Teiichi Tanimura Breakdown of academic impact, for papers by Maki Kaneko Breakdown of academic impact, for papers by Tsai‐Feng Fu Breakdown of academic impact, for papers by Hisayo Sadamoto
Rankless by CCL
2026