Tatsuhiro Akaishi

1.2k total citations
26 papers, 1.0k citations indexed

About

Tatsuhiro Akaishi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Neurology. According to data from OpenAlex, Tatsuhiro Akaishi has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Pharmacology and 8 papers in Neurology. Recurrent topics in Tatsuhiro Akaishi's work include Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Alzheimer's disease research and treatments (6 papers). Tatsuhiro Akaishi is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Alzheimer's disease research and treatments (6 papers). Tatsuhiro Akaishi collaborates with scholars based in Japan, United States and Switzerland. Tatsuhiro Akaishi's co-authors include Kazuho Abe, Pamela Maher, Yasuo Ohno, Ken Nakazawa, Kaoru Sato, David Schubert, Sayaka Watanabe, Kumiko Sakai‐Kato, Naoko Utsunomiya‐Tate and Norio Matsuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Tatsuhiro Akaishi

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuhiro Akaishi Japan 16 346 314 275 228 161 26 1.0k
Simone Pinton Brazil 24 319 0.9× 307 1.0× 247 0.9× 198 0.9× 120 0.7× 70 1.5k
Ethika Tyagi India 21 438 1.3× 371 1.2× 222 0.8× 217 1.0× 305 1.9× 32 1.4k
Nesrine S. El Sayed Egypt 24 256 0.7× 414 1.3× 178 0.6× 121 0.5× 198 1.2× 59 1.2k
Maja Jazvinšćak Jembrek Croatia 20 310 0.9× 491 1.6× 179 0.7× 267 1.2× 117 0.7× 50 1.4k
Laraib Liaquat Pakistan 13 296 0.9× 197 0.6× 145 0.5× 187 0.8× 93 0.6× 26 878
Hee Ra Park South Korea 24 512 1.5× 580 1.8× 222 0.8× 342 1.5× 356 2.2× 45 2.1k
Jogender Mehla India 21 331 1.0× 265 0.8× 188 0.7× 303 1.3× 199 1.2× 39 1.3k
Chainarong Tocharus Thailand 22 267 0.8× 473 1.5× 144 0.5× 122 0.5× 332 2.1× 74 1.4k
André Tiago Rossito Goes Brazil 18 260 0.8× 294 0.9× 253 0.9× 240 1.1× 193 1.2× 23 1.2k
Santoshkumar Tota India 17 488 1.4× 453 1.4× 394 1.4× 272 1.2× 285 1.8× 20 1.4k

Countries citing papers authored by Tatsuhiro Akaishi

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuhiro Akaishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuhiro Akaishi

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuhiro Akaishi. A scholar is included among the top collaborators of Tatsuhiro Akaishi 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 Tatsuhiro Akaishi. Tatsuhiro Akaishi 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
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2.
Akaishi, Tatsuhiro, Shohei Yamamoto, & Kazuho Abe. (2023). 3′,4′-Dihydroxyflavonol Attenuates Lipopolysaccharide-Induced Neuroinflammatory Responses of Microglial Cells by Suppressing AKT–mTOR and NF-κB Pathways. Biological and Pharmaceutical Bulletin. 46(7). 914–920. 3 indexed citations
3.
Kimura, Yuka, Tatsuhiro Akaishi, Misa Yamada, et al.. (2023). Hydrogen sulfide and polysulfides induce GABA/glutamate/d-serine release, facilitate hippocampal LTP, and regulate behavioral hyperactivity. Scientific Reports. 13(1). 17663–17663. 16 indexed citations
4.
5.
He, Wenbin, Kazuho Abe, & Tatsuhiro Akaishi. (2017). Oral administration of fisetin promotes the induction of hippocampal long-term potentiation in vivo. Journal of Pharmacological Sciences. 136(1). 42–45. 33 indexed citations
6.
Ushikubo, Hiroko, et al.. (2014). 3,3′,4′,5′-Tetrahydroxyflavone Induces Formation of Large Aggregates of Amyloid β Protein. Biological and Pharmaceutical Bulletin. 37(5). 748–754. 10 indexed citations
7.
Ushikubo, Hiroko, Sayaka Watanabe, Kazuho Abe, et al.. (2012). 3,3′,4′,5,5′-Pentahydroxyflavone is a potent inhibitor of amyloid β fibril formation. Neuroscience Letters. 513(1). 51–56. 37 indexed citations
8.
Chen, Qi, Marguerite Prior, Richard Dargusch, et al.. (2011). A Novel Neurotrophic Drug for Cognitive Enhancement and Alzheimer's Disease. PLoS ONE. 6(12). e27865–e27865. 103 indexed citations
9.
Akaishi, Tatsuhiro, et al.. (2011). Biphasic Tracheal Relaxation Induced by Higenamine and Nantenine From Nandina domestica THUNBERG. Journal of Pharmacological Sciences. 115(2). 254–257. 15 indexed citations
10.
Akaishi, Tatsuhiro, et al.. (2009). β2-Adrenoceptor-Mediated Tracheal Relaxation Induced by Higenamine fromNandina domesticaThunberg. Planta Medica. 75(13). 1393–1399. 30 indexed citations
11.
Abe, Kazuho, T. Fujimoto, Tatsuhiro Akaishi, & Miwa Misawa. (2009). Basolateral amygdala D1- and D2-dopaminergic system promotes the formation of long-term potentiation in the dentate gyrus of anesthetized rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 33(3). 552–556. 11 indexed citations
12.
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Akaishi, Tatsuhiro, et al.. (2008). Structural requirements for the flavonoid fisetin in inhibiting fibril formation of amyloid β protein. Neuroscience Letters. 444(3). 280–285. 131 indexed citations
14.
15.
Abe, Kazuho, T. Fujimoto, Tatsuhiro Akaishi, & Miwa Misawa. (2008). Stimulation of basolateral amygdaloid serotonin 5-HT2C receptors promotes the induction of long-term potentiation in the dentate gyrus of anesthetized rats. Neuroscience Letters. 451(1). 65–68. 15 indexed citations
16.
Akaishi, Tatsuhiro, et al.. (2007). The Extract from Nandina domestica THUNBERG Inhibits Histamine- and Serotonin-Induced Contraction in Isolated Guinea Pig Trachea. Biological and Pharmaceutical Bulletin. 30(11). 2063–2068. 8 indexed citations
17.
Sato, Kaoru, Tatsuhiro Akaishi, Norio Matsuki, Yasuo Ohno, & Ken Nakazawa. (2007). β-Estradiol induces synaptogenesis in the hippocampus by enhancing brain-derived neurotrophic factor release from dentate gyrus granule cells. Brain Research. 1150. 108–120. 90 indexed citations
18.
Akaishi, Tatsuhiro, Ken Nakazawa, Kaoru Sato, et al.. (2004). Hydrogen peroxide modulates whole cell Ca2+ currents through L-type channels in cultured rat dentate granule cells. Neuroscience Letters. 356(1). 25–28. 57 indexed citations
19.
Akaishi, Tatsuhiro, Ken Nakazawa, Kaoru Sato, Yasuo Ohno, & Yoshihisa Ito. (2004). 4-Hydroxynonenal modulates the long-term potentiation induced by L-type Ca2+ channel activation in the rat dentate gyrus in vitro. Neuroscience Letters. 370(2-3). 155–159. 9 indexed citations
20.
Akaishi, Tatsuhiro, Hiroshi Saito, Yoshihisa Ito, Kumiko Ishige, & Yuji Ikegaya. (2000). Morphine augments excitatory synaptic transmission in the dentate gyrus through GABAergic disinhibition. Neuroscience Research. 38(4). 357–363. 35 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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