Ryuichiro Takeda

532 total citations
23 papers, 437 citations indexed

About

Ryuichiro Takeda is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology. According to data from OpenAlex, Ryuichiro Takeda has authored 23 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Neurology and 6 papers in Physiology. Recurrent topics in Ryuichiro Takeda's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Ryuichiro Takeda is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Ryuichiro Takeda collaborates with scholars based in Japan and United States. Ryuichiro Takeda's co-authors include Yasushi Ishida, Toshikazu Nishimori, Hiroshi Abe, Hiroyuki Hashiguchi, Yuta Ishizuka, Tetsuya Ikeda, Noriko Hidaka, Daiichiro Nakahara, Yoshio Mitsuyama and Tadashi Nakamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and European Journal of Pharmacology.

In The Last Decade

Ryuichiro Takeda

20 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryuichiro Takeda Japan 11 144 126 123 97 94 23 437
Elizabeth Teodorov Brazil 11 156 1.1× 155 1.2× 121 1.0× 104 1.1× 16 0.2× 37 568
C. Lammers Germany 8 229 1.6× 39 0.3× 198 1.6× 65 0.7× 73 0.8× 16 599
Cüneyt Demiralay Germany 13 72 0.5× 65 0.5× 116 0.9× 41 0.4× 54 0.6× 33 516
Ylenia Barone Italy 9 100 0.7× 82 0.7× 90 0.7× 46 0.5× 28 0.3× 14 443
Е. А. Вершинина Russia 12 96 0.7× 132 1.0× 189 1.5× 142 1.5× 14 0.1× 94 490
Jessica Deslauriers Canada 15 101 0.7× 44 0.3× 267 2.2× 117 1.2× 25 0.3× 24 608
Ichiro Kusumi Japan 12 106 0.7× 74 0.6× 121 1.0× 85 0.9× 16 0.2× 17 472
Bibiána Török Hungary 12 130 0.9× 59 0.5× 128 1.0× 131 1.4× 27 0.3× 52 456
M. Adrienne McGinn United States 11 180 1.3× 131 1.0× 138 1.1× 54 0.6× 32 0.3× 16 439
Ellen D. Witt United States 11 197 1.4× 73 0.6× 57 0.5× 32 0.3× 150 1.6× 13 564

Countries citing papers authored by Ryuichiro Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryuichiro Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuichiro Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichiro Takeda. A scholar is included among the top collaborators of Ryuichiro Takeda 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 Ryuichiro Takeda. Ryuichiro Takeda 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.
Hirano, Yoji, et al.. (2024). Characteristics of psychiatric patients with nightmares after suvorexant administration: A retrospective study. Neuropsychopharmacology Reports. 45(1). e12506–e12506. 1 indexed citations
3.
Takeda, Ryuichiro, et al.. (2023). Characteristics of psychiatric patients with hypokalemia after yokukansan administration: A retrospective study. SHILAP Revista de lepidopterología. 2(1). e76–e76.
5.
Abe, Hiroshi, et al.. (2016). Partial regimen replacement with aripiprazole reduces serum prolactin in patients with a long history of schizophrenia: A case series. Asian Journal of Psychiatry. 25. 36–41. 3 indexed citations
6.
Takeda, Ryuichiro, et al.. (2016). Burnout in Japanese residents and its associations with temperament and character. Asian Journal of Psychiatry. 24. 5–9. 20 indexed citations
7.
Nakamura, Takehiro, Tetsuya Ikeda, Ryuichiro Takeda, et al.. (2014). The role of spinal serotonin receptor and alpha adrenoceptor on the antiallodynic effects induced by intrathecal milnacipran in chronic constriction injury rats. European Journal of Pharmacology. 738. 57–65. 8 indexed citations
8.
Takeda, Ryuichiro, Yasushi Ishida, Hiroshi Abe, et al.. (2014). Intrastriatal grafts of fetal ventral mesencephalon improve allodynia-like withdrawal response to mechanical stimulation in a rat model of Parkinson's disease. Neuroscience Letters. 573. 19–23. 11 indexed citations
9.
Ishida, Yasushi, Ryuichiro Takeda, Hiroshi Abe, et al.. (2011). Differential expression of FosB, c-Fos, and Zif268 in forebrain regions after acute or chronic l-DOPA treatment in a rat model of Parkinson's disease. Neuroscience Letters. 496(2). 90–94. 15 indexed citations
10.
Takeda, Ryuichiro, Yuko Watanabe, Tetsuya Ikeda, et al.. (2009). Analgesic effect of milnacipran is associated with c-Fos expression in the anterior cingulate cortex in the rat neuropathic pain model. Neuroscience Research. 64(4). 380–384. 33 indexed citations
11.
Ishida, Yasushi, Keiichi Kawai, Yasuhiro Magata, et al.. (2008). Differential expression of Fos and Zif268 in the nigrostriatal system after methamphetamine administration in a rat model of Parkinson's disease. Synapse. 62(12). 920–926. 3 indexed citations
12.
13.
Ikeda, Tetsuya, Yasushi Ishida, Ryuichiro Takeda, et al.. (2008). Effects of intrathecal administration of newer antidepressants on mechanical allodynia in rat models of neuropathic pain. Neuroscience Research. 63(1). 42–46. 40 indexed citations
14.
Abe, Hiroshi, Noriko Hidaka, Yuta Ishizuka, et al.. (2007). Prenatal psychological stress causes higher emotionality, depression-like behavior, and elevated activity in the hypothalamo-pituitary-adrenal axis. Neuroscience Research. 59(2). 145–151. 129 indexed citations
15.
Takeda, Ryuichiro, Tetsuya Ikeda, Hiroshi Abe, et al.. (2005). Unilateral lesions of mesostriatal dopaminergic pathway alters the withdrawal response of the rat hindpaw to mechanical stimulation. Neuroscience Research. 52(1). 31–36. 59 indexed citations
17.
Ishida, Yasushi, Keiichi Kawai, Yasuhiro Magata, et al.. (2004). Changes in Dopamine D<sub>2</sub> Receptors and 6-[<sup>18</sup>F]Fluoro-<i>L</i>-3,4-Dihydroxyphenylalanine Uptake in the Brain of 6-Hydroxydopamine- Lesioned Rats. Neurodegenerative Diseases. 1(2-3). 109–112. 8 indexed citations
18.
Ishida, Yasushi, Hiroyuki Hashiguchi, Ryuichiro Takeda, et al.. (2002). Conditioned‐fear stress increases Fos expression in monoaminergic and GABAergic neurons of the locus coeruleus and dorsal raphe nuclei. Synapse. 45(1). 46–51. 50 indexed citations
20.
Ishida, Yasushi, Daiichiro Nakahara, Hiroyuki Hashiguchi, et al.. (2002). Fos expression in GABAergic cells and cells immunopositive for NMDA receptors in the inferior and superior colliculi following audiogenic seizures in rats. Synapse. 46(2). 100–107. 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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