Takaki Kiritoshi

1.3k total citations
29 papers, 991 citations indexed

About

Takaki Kiritoshi is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Takaki Kiritoshi has authored 29 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 17 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Takaki Kiritoshi's work include Pain Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (11 papers) and Ginger and Zingiberaceae research (6 papers). Takaki Kiritoshi is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (11 papers) and Ginger and Zingiberaceae research (6 papers). Takaki Kiritoshi collaborates with scholars based in United States, Japan and Italy. Takaki Kiritoshi's co-authors include Volker Neugebauer, Guangchen Ji, Rakez Kayed, Diana L. Castillo‐Carranza, Cristian A. Lasagna‐Reeves, Marcos J. Guerrero-Muñoz, Urmi Sengupta, George R. Jackson, Kazuyuki Murase and Hiroshi Ikeda and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Takaki Kiritoshi

27 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takaki Kiritoshi United States 14 703 475 241 175 154 29 991
Ming Yi China 22 462 0.7× 368 0.8× 250 1.0× 86 0.5× 131 0.9× 61 1.1k
Kan Miyoshi Japan 20 899 1.3× 667 1.4× 328 1.4× 119 0.7× 133 0.9× 28 1.3k
Agnieszka Wawrzczak‐Bargieła Poland 16 491 0.7× 511 1.1× 251 1.0× 125 0.7× 121 0.8× 31 991
Cristina Lemos Portugal 16 278 0.4× 366 0.8× 201 0.8× 267 1.5× 123 0.8× 27 940
Xiao-Ding Cao China 16 357 0.5× 372 0.8× 221 0.9× 163 0.9× 85 0.6× 43 971
Charleine Zussy France 17 349 0.5× 352 0.7× 301 1.2× 124 0.7× 108 0.7× 27 949
Lucía Hipólito Spain 18 308 0.4× 679 1.4× 306 1.3× 85 0.5× 79 0.5× 37 1.1k
Elena Dale United States 16 188 0.3× 365 0.8× 295 1.2× 177 1.0× 271 1.8× 21 1.1k
Carl J. Kovelowski United States 12 645 0.9× 524 1.1× 274 1.1× 277 1.6× 82 0.5× 15 1.1k
Alan Justice United States 6 482 0.7× 397 0.8× 330 1.4× 198 1.1× 157 1.0× 9 959

Countries citing papers authored by Takaki Kiritoshi

Since Specialization
Citations

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

Fields of papers citing papers by Takaki Kiritoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takaki Kiritoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Takaki Kiritoshi. A scholar is included among the top collaborators of Takaki Kiritoshi 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 Takaki Kiritoshi. Takaki Kiritoshi 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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Mazzitelli, Mariacristina, et al.. (2025). BDNF Signaling and Pain Modulation. Cells. 14(7). 476–476. 5 indexed citations
4.
Shen, Chwan‐Li, Moamen M. Elmassry, Guangchen Ji, et al.. (2024). Ginger Polyphenols Reverse Molecular Signature of Amygdala Neuroimmune Signaling and Modulate Microbiome in Male Rats with Neuropathic Pain: Evidence for Microbiota–Gut–Brain Axis. Antioxidants. 13(5). 502–502. 3 indexed citations
5.
Yakhnitsa, Vadim, Jeremy M. Thompson, О. А. Пономарева, et al.. (2024). Dysfunction of Small-Conductance Ca2+-Activated Potassium (SK) Channels Drives Amygdala Hyperexcitability and Neuropathic Pain Behaviors: Involvement of Epigenetic Mechanisms. Cells. 13(12). 1055–1055. 4 indexed citations
6.
Shen, Chwan‐Li, Hitesh Deshmukh, Jorge M. Santos, et al.. (2024). Fecal Microbiota Transplantation Modulates Gut Microbiome Composition and Glial Signaling in Brain and Colon of Rats with Neuropathic Pain: Evidence for Microbiota-Gut-Brain Axis. The Journal of Frailty & Aging. 13(4). 319–330. 3 indexed citations
7.
Kiritoshi, Takaki, Vadim Yakhnitsa, Torri D. Wilson, et al.. (2024). Cells and circuits for amygdala neuroplasticity in the transition to chronic pain. Cell Reports. 43(9). 114669–114669. 14 indexed citations
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Ji, Guangchen, Takaki Kiritoshi, Yong Chen, et al.. (2024). Chemogenetic Manipulation of Amygdala Kappa Opioid Receptor Neurons Modulates Amygdala Neuronal Activity and Neuropathic Pain Behaviors. Cells. 13(8). 705–705. 4 indexed citations
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Shen, Chwan‐Li, Rui Wang, Vadim Yakhnitsa, et al.. (2022). Gingerol-Enriched Ginger Supplementation Mitigates Neuropathic Pain via Mitigating Intestinal Permeability and Neuroinflammation: Gut-Brain Connection. Frontiers in Pharmacology. 13. 13 indexed citations
12.
Takahashi, Wataru, T. Nakamoto, Takaki Kiritoshi, et al.. (2019). EP-1941 MRI-based radiogenomics analysis of 1p/19q codeletion in grade II and III gliomas. Radiotherapy and Oncology. 133. S1057–S1058. 1 indexed citations
13.
Kiritoshi, Takaki, Guangchen Ji, & Volker Neugebauer. (2016). Rescue of Impaired mGluR5-Driven Endocannabinoid Signaling Restores Prefrontal Cortical Output to Inhibit Pain in Arthritic Rats. Journal of Neuroscience. 36(3). 837–850. 107 indexed citations
14.
Ji, Guangchen, Wei Zhang, Lenin Mahimainathan, et al.. (2016). 5-HT2CReceptor Knockdown in the Amygdala Inhibits Neuropathic-Pain-Related Plasticity and Behaviors. Journal of Neuroscience. 37(6). 1378–1393. 68 indexed citations
15.
Kiritoshi, Takaki & Volker Neugebauer. (2015). Group II mGluRs modulate baseline and arthritis pain-related synaptic transmission in the rat medial prefrontal cortex. Neuropharmacology. 95. 388–394. 32 indexed citations
16.
Kiritoshi, Takaki, Hao Sun, Wenjie Ren, et al.. (2012). Modulation of pyramidal cell output in the medial prefrontal cortex by mGluR5 interacting with CB1. Neuropharmacology. 66. 170–178. 46 indexed citations
17.
Ikeda, Hiroshi, Takaki Kiritoshi, & Kazuyuki Murase. (2012). Contribution of Microglia and Astrocytes to the Central Sensitization, Inflammatory and Neuropathic Pain in the Juvenile Rat. Molecular Pain. 8. 43–43. 76 indexed citations
18.
Lasagna‐Reeves, Cristian A., Diana L. Castillo‐Carranza, Urmi Sengupta, et al.. (2012). Alzheimer brain-derived tau oligomers propagate pathology from endogenous tau. Scientific Reports. 2(1). 700–700. 381 indexed citations
19.
Kiritoshi, Takaki, Hiroshi Ikeda, & Kazuyuki Murase. (2010). Long-term potentiation of neuronal excitation in the central nucleus of the rat amygdala revealed by imaging with a voltage-sensitive dye. Brain Research. 1349. 32–40. 8 indexed citations
20.
Ikeda, Hiroshi, Takaki Kiritoshi, & Kazuyuki Murase. (2009). Synaptic plasticity in the spinal dorsal horn. Neuroscience Research. 64(2). 133–136. 30 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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