Ken Koda

795 total citations
17 papers, 658 citations indexed

About

Ken Koda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ken Koda has authored 17 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Ken Koda's work include Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). Ken Koda is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). Ken Koda collaborates with scholars based in Japan, United Kingdom and Sweden. Ken Koda's co-authors include Yukio Ago, Toshio Matsuda, Kazuhiro Takuma, Yuki Kita, Toshiyuki Kawasaki, Akemichi Baba, Yasuhide Morioka, Masahide Fujita, Yusuke Sakurai and Toshiyuki Asaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Pain.

In The Last Decade

Ken Koda

16 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Koda Japan	13	246	201	135	133	123	17	658
Deborah R. McCarty United States	10	499 2.0×	370 1.8×	72 0.5×	122 0.9×	52 0.4×	12	815
Katalin Horváth Hungary	17	271 1.1×	231 1.1×	93 0.7×	34 0.3×	66 0.5×	44	862
Alfredo Oliveros United States	19	353 1.4×	364 1.8×	74 0.5×	133 1.0×	65 0.5×	51	932
Natália Gindri Fiorenza Brazil	12	297 1.2×	217 1.1×	59 0.4×	71 0.5×	111 0.9×	17	622
Rocío E. González-Castañeda Mexico	17	204 0.8×	189 0.9×	104 0.8×	54 0.4×	152 1.2×	32	835
Hongwei Yang China	17	326 1.3×	185 0.9×	361 2.7×	114 0.9×	179 1.5×	65	1.1k
Marta Pazzagli Italy	15	480 2.0×	328 1.6×	76 0.6×	52 0.4×	228 1.9×	19	870
Hermann Russ Germany	23	807 3.3×	360 1.8×	67 0.5×	85 0.6×	166 1.3×	46	1.5k
Roberto Piolti Italy	16	352 1.4×	189 0.9×	88 0.7×	132 1.0×	170 1.4×	38	977
Mary Cohen-Williams United States	17	445 1.8×	441 2.2×	108 0.8×	74 0.6×	87 0.7×	28	892

Countries citing papers authored by Ken Koda

Since Specialization

Citations

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

Fields of papers citing papers by Ken Koda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Koda

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

All Works

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17 of 17 papers shown

Sprenger, Christian, Tomomi Yamada, Yuji Morikawa, et al.. (2025). Characterization of CNS Network Changes in Two Rodent Models of Chronic Pain. Biological and Pharmaceutical Bulletin. 48(9). 1358–1374.

Oguma, Takuya, Kenji Nakahara, Hidetsugu Asada, et al.. (2024). Dual 5-HT_2A and 5-HT_2C Receptor Inverse Agonist That Affords In Vivo Antipsychotic Efficacy with Minimal hERG Inhibition for the Treatment of Dementia-Related Psychosis. Journal of Medicinal Chemistry. 67(16). 14478–14492. 3 indexed citations

Horst, Nicole K., Ken Koda, Philip Gaskin, et al.. (2020). Ventromedial prefrontal area 14 provides opposing regulation of threat and reward-elicited responses in the common marmoset. Proceedings of the National Academy of Sciences. 117(40). 25116–25127. 18 indexed citations

Sakurai, Yusuke, Masahide Fujita, Shiori Kawasaki, et al.. (2018). Contribution of synovial macrophages to rat advanced osteoarthritis pain resistant to cyclooxygenase inhibitors. Pain. 160(4). 895–907. 61 indexed citations

Morris, Laurel, Christian Sprenger, Ken Koda, et al.. (2018). Anterior cingulate cortex connectivity is associated with suppression of behaviour in a rat model of chronic pain. PubMed. 2. 1864941054–1864941054. 10 indexed citations

Koda, Ken, Kana Hyakkoku, Koichi Ogawa, et al.. (2016). Sensitization of TRPV1 by protein kinase C in rats with mono-iodoacetate-induced joint pain. Osteoarthritis and Cartilage. 24(7). 1254–1262. 35 indexed citations

Ueyama, Takehiko, K. Yoshino, Hiroki Takahashi, et al.. (2014). The Role of Pak-Interacting Exchange Factor- Phosphorylation at Serines 340 and 583 by PKC in Dopamine Release. Journal of Neuroscience. 34(28). 9268–9280. 12 indexed citations

Ago, Yukio, et al.. (2011). Donepezil, but not galantamine, blocks muscarinic receptor‐mediated in vitro and in vivo responses. Synapse. 65(12). 1373–1377. 12 indexed citations

Ago, Yukio, Ken Koda, Kazuhiro Takuma, & Toshio Matsuda. (2011). Pharmacological Aspects of the Acetylcholinesterase Inhibitor Galantamine. Journal of Pharmacological Sciences. 116(1). 6–17. 91 indexed citations

10.

Koda, Ken, et al.. (2010). Effects of acute and chronic administration of atomoxetine and methylphenidate on extracellular levels of noradrenaline, dopamine and serotonin in the prefrontal cortex and striatum of mice. Journal of Neurochemistry. 114(1). 259–270. 187 indexed citations

11.

Ohnishi, Hiroshi, Takaaki Murata, Shinya Kusakari, et al.. (2010). Stress-Evoked Tyrosine Phosphorylation of Signal Regulatory Protein α Regulates Behavioral Immobility in the Forced Swim Test. Journal of Neuroscience. 30(31). 10472–10483. 33 indexed citations

12.

Koda, Ken, Yukio Ago, Koji Yano, et al.. (2010). Involvement of decreased muscarinic receptor function in prepulse inhibition deficits in mice reared in social isolation. British Journal of Pharmacology. 162(3). 763–772. 16 indexed citations

13.

Yano, Koji, Ken Koda, Yukio Ago, et al.. (2008). Galantamine improves apomorphine‐induced deficits in prepulse inhibition via muscarinic ACh receptors in mice. British Journal of Pharmacology. 156(1). 173–180. 23 indexed citations

14.

Kawasaki, Toshiyuki, et al.. (2007). Edaravone, a Radical Scavenger, Inhibits Mitochondrial Permeability Transition Pore in Rat Brain. Journal of Pharmacological Sciences. 103(4). 434–437. 42 indexed citations

15.

Kawasaki, Toshiyuki, Katsuhiro Nakagawa, Ken Koda, et al.. (2007). Nitric oxide‐induced apoptosis in cultured rat astrocytes: Protection by edaravone, a radical scavenger. Glia. 55(13). 1325–1333. 63 indexed citations

16.

Koda, Ken, Yukio Ago, Toshiyuki Kawasaki, et al.. (2007). Galantamine and donepezil differently affect isolation rearing-induced deficits of prepulse inhibition in mice. Psychopharmacology. 196(2). 293–301. 27 indexed citations

17.

Sato, Maiko, Yukio Ago, Ken Koda, et al.. (2006). Role of postsynaptic serotonin1A receptors in risperidone-induced increase in acetylcholine release in rat prefrontal cortex. European Journal of Pharmacology. 559(2-3). 155–160. 25 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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