Ko Zushida

707 total citations
20 papers, 591 citations indexed

About

Ko Zushida is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ko Zushida has authored 20 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Ko Zushida's work include Pain Mechanisms and Treatments (11 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Ko Zushida is often cited by papers focused on Pain Mechanisms and Treatments (11 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Ko Zushida collaborates with scholars based in Japan, United States and Netherlands. Ko Zushida's co-authors include Keiji Wada, Masayuki Sekiguchi, Mikako Sakurai, Junzo Kamei, S. Tanaka, Daisuke Yamada, Junzo Kamei, Gleb P. Shumyatsky, Shin’ichi Takeda and Mikiharu Yoshida and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Ko Zushida

20 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ko Zushida Japan 10 290 243 212 146 76 20 591
Timothy Pfankuch United States 13 222 0.8× 209 0.9× 146 0.7× 117 0.8× 101 1.3× 15 776
Kiyofumi Yamada Japan 8 362 1.2× 195 0.8× 189 0.9× 114 0.8× 93 1.2× 11 778
Sarah C. Harney Ireland 12 435 1.5× 309 1.3× 144 0.7× 130 0.9× 97 1.3× 13 962
Sjoukje D. Kuipers Norway 9 438 1.5× 249 1.0× 117 0.6× 167 1.1× 117 1.5× 12 803
Josette Alliot France 16 205 0.7× 258 1.1× 357 1.7× 95 0.7× 104 1.4× 34 827
Wang‐Ping Hu China 20 295 1.0× 324 1.3× 324 1.5× 127 0.9× 60 0.8× 59 991
Leonardo Ortíz‐López Mexico 18 192 0.7× 163 0.7× 126 0.6× 179 1.2× 123 1.6× 38 806
Naomi Yoneyama United States 8 385 1.3× 197 0.8× 98 0.5× 72 0.5× 95 1.3× 8 574
Song Lin China 14 299 1.0× 207 0.9× 136 0.6× 159 1.1× 168 2.2× 30 778
Guey‐Ying Liao United States 13 423 1.5× 212 0.9× 245 1.2× 107 0.7× 56 0.7× 17 905

Countries citing papers authored by Ko Zushida

Since Specialization
Citations

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

Fields of papers citing papers by Ko Zushida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ko Zushida

This figure shows the co-authorship network connecting the top 25 collaborators of Ko Zushida. A scholar is included among the top collaborators of Ko Zushida 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 Ko Zushida. Ko Zushida 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.
Morishita, Yoshikazu, Ko Zushida, Akinori Nishi, et al.. (2024). Dopamine release and dopamine-related gene expression in the amygdala are modulated by the gastrin-releasing peptide in opposite directions during stress-enhanced fear learning and extinction. Molecular Psychiatry. 30(6). 2381–2394. 1 indexed citations
2.
Wakatsuki, Tetsuro, Sunao Hisada, Kazuto Nunomura, et al.. (2024). Bayesian approach enabled objective comparison of multiple human iPSC-derived Cardiomyocytes' Proarrhythmia sensitivities.. Journal of Pharmacological and Toxicological Methods. 128. 107531–107531. 2 indexed citations
3.
4.
Cho, Jun-Hyeong, Ko Zushida, Gleb P. Shumyatsky, et al.. (2012). Pituitary Adenylate Cyclase-Activating Polypeptide Induces Postsynaptically Expressed Potentiation in the Intra-amygdala Circuit. Journal of Neuroscience. 32(41). 14165–14177. 43 indexed citations
5.
Yamada, Daisuke, Ko Zushida, Keiji Wada, & Masayuki Sekiguchi. (2009). Pharmacological Discrimination of Extinction and Reconsolidation of Contextual Fear Memory by a Potentiator of AMPA Receptors. Neuropsychopharmacology. 34(12). 2574–2584. 61 indexed citations
6.
Sakurai, Mikako, Masayuki Sekiguchi, Ko Zushida, et al.. (2008). Reduction in memory in passive avoidance learning, exploratory behaviour and synaptic plasticity in mice with a spontaneous deletion in the ubiquitin C‐terminal hydrolase L1 gene. European Journal of Neuroscience. 27(3). 691–701. 61 indexed citations
7.
Amano, Taiju, Etsuko Wada, Daisuke Yamada, et al.. (2008). Heightened Amygdala Long-Term Potentiation in Neurotensin Receptor Type-1 Knockout Mice. Neuropsychopharmacology. 33(13). 3135–3145. 16 indexed citations
8.
Sekiguchi, Masayuki, Ko Zushida, Mikiharu Yoshida, et al.. (2008). A deficit of brain dystrophin impairs specific amygdala GABAergic transmission and enhances defensive behaviour in mice. Brain. 132(1). 124–135. 114 indexed citations
9.
Zushida, Ko, Mikako Sakurai, Keiji Wada, & Masayuki Sekiguchi. (2007). Facilitation of Extinction Learning for Contextual Fear Memory by PEPA: A Potentiator of AMPA Receptors. Journal of Neuroscience. 27(1). 158–166. 89 indexed citations
10.
Zushida, Ko & Junzo Kamei. (2002). Effect of MK-801 on the antinociceptive effect of [d-Ala2,N-MePhe4, Gly-ol5]enkephalin in diabetic mice. European Journal of Pharmacology. 448(1). 39–44. 4 indexed citations
11.
Kamei, Junzo, et al.. (2002). Modification of the fenvalerate-induced nociceptive response in mice by diabetes. Brain Research. 948(1-2). 17–23. 5 indexed citations
12.
Zushida, Ko, Kenji Onodera, & Junzo Kamei. (2002). Effect of diabetes on pinacidil-induced antinociception in mice. European Journal of Pharmacology. 453(2-3). 209–215. 9 indexed citations
13.
Kamei, Junzo, et al.. (2001). Nociception and Allodynia/Hyperalgesia Induced by Intrathecal Administration of Fenvalerate. The Japanese Journal of Pharmacology. 86(3). 336–341. 7 indexed citations
14.
Kamei, Junzo & Ko Zushida. (2001). The role of spinal cholecystokinin B receptors in thermal allodynia and hyperalgesia in diabetic mice. Brain Research. 892(2). 370–375. 20 indexed citations
15.
Onodera, Kenji, Ko Zushida, & Junzo Kamei. (2001). Antinociceptive Effect of Vitamin K2 (Menatetrenone) in Diabetic Mice. The Japanese Journal of Pharmacology. 85(3). 335–337. 6 indexed citations
16.
Kamei, Junzo, Ko Zushida, & Hiroshi Nagase. (2001). Role of cholecystokinin in the reduction of endomorphin-2-induced antinociception in diabetic mice. European Journal of Pharmacology. 416(1-2). 95–99. 3 indexed citations
17.
Kamei, Junzo, et al.. (2001). Role of vanilloid VR1 receptor in thermal allodynia and hyperalgesia in diabetic mice. European Journal of Pharmacology. 422(1-3). 83–86. 79 indexed citations
18.
Kamei, Junzo & Ko Zushida. (2000). Effect of Mexiletine on Thermal Allodynia and Hyperalgesia in Diabetic Mice. The Japanese Journal of Pharmacology. 84(1). 89–92. 9 indexed citations
19.
Zushida, Ko, et al.. (2000). The antinociceptive effects of endomorphin-1 and endomorphin-2 in diabetic mice. European Journal of Pharmacology. 391(1-2). 91–96. 25 indexed citations
20.
Onodera, Kenji, Hisashi Shinoda, Ko Zushida, Kentaro Taki, & Junzo Kamei. (2000). Antinociceptive effect induced by intraperitoneal administration of vitamin K2 (menatetrenone) in ICR mice. Life Sciences. 68(1). 91–97. 7 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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