Kaori Gunjigake

546 total citations
23 papers, 437 citations indexed

About

Kaori Gunjigake is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Kaori Gunjigake 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 Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Kaori Gunjigake's work include Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (3 papers) and Obstructive Sleep Apnea Research (2 papers). Kaori Gunjigake is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (3 papers) and Obstructive Sleep Apnea Research (2 papers). Kaori Gunjigake collaborates with scholars based in Japan. Kaori Gunjigake's co-authors include Tetsuya Goto, Shigeru Kobayashi, Kazunori Yamaguchi, Toshihiro Tanaka, Mizuho A. Kido, T. Kawamoto, Shinji Kataoka, Kentaro Ono, Mitsushiro Nakatomi and Takashi Toyono and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Journal of Dental Research.

In The Last Decade

Kaori Gunjigake

21 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaori Gunjigake Japan 12 165 126 110 49 41 23 437
Marc Cherruau France 10 173 1.0× 122 1.0× 99 0.9× 53 1.1× 45 1.1× 11 466
Mitsuhiko Matsumoto Japan 13 164 1.0× 175 1.4× 134 1.2× 49 1.0× 69 1.7× 53 569
Sonja Buvinic Chile 17 393 2.4× 95 0.8× 226 2.1× 14 0.3× 27 0.7× 35 832
Hao Chiang Taiwan 13 196 1.2× 108 0.9× 202 1.8× 19 0.4× 15 0.4× 15 451
Masaki Sato Japan 16 392 2.4× 157 1.2× 229 2.1× 20 0.4× 30 0.7× 46 749
Rui-Yun Bi China 11 107 0.6× 59 0.5× 139 1.3× 28 0.6× 191 4.7× 13 451
Eleonora Nargi Italy 13 210 1.3× 171 1.4× 85 0.8× 63 1.3× 17 0.4× 16 641
Jin-Fei Yeo Singapore 15 184 1.1× 127 1.0× 194 1.8× 6 0.1× 27 0.7× 30 534
Rishikesh N. Kulkarni Australia 11 245 1.5× 57 0.5× 122 1.1× 92 1.9× 40 1.0× 11 472
Heike Jäger Germany 12 331 2.0× 108 0.9× 38 0.3× 21 0.4× 15 0.4× 16 597

Countries citing papers authored by Kaori Gunjigake

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Gunjigake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Gunjigake

This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Gunjigake. A scholar is included among the top collaborators of Kaori Gunjigake 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 Kaori Gunjigake. Kaori Gunjigake 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.
Kodama, Yuki, et al.. (2026). Surfactin Inhibits Osteoclast Differentiation by Negatively Regulating the Elk1-AP-1-NFATc1 Axis. Biomedicines. 14(1). 155–155.
2.
Yamasaki, Ryota, et al.. (2023). The Mechanism of Interleukin 33-Induced Stimulation of Interleukin 6 in MLO-Y4 Cells. International Journal of Molecular Sciences. 24(19). 14842–14842. 3 indexed citations
3.
Seta, Yuji, Shinji Kataoka, Mitsushiro Nakatomi, et al.. (2020). Mash1-expressing cells may be relevant to type III cells and a subset of PLCβ2-positive cell differentiation in adult mouse taste buds. Cell and Tissue Research. 383(2). 667–675. 8 indexed citations
4.
Hitomi, Suzuro, Kaori Gunjigake, Momotoshi Shiga, et al.. (2019). Orthodontic force-induced oxidative stress in the periodontal tissue and dental pulp elicits nociception via activation/sensitization of TRPA1 on nociceptive fibers. Free Radical Biology and Medicine. 147. 175–186. 26 indexed citations
5.
Gunjigake, Kaori, Mitsushiro Nakatomi, Momotoshi Shiga, et al.. (2018). Maldevelopment of the submandibular gland in a mouse model of apert syndrome. Developmental Dynamics. 247(11). 1175–1185. 6 indexed citations
6.
Ono, Kentaro, Suzuro Hitomi, Kaori Gunjigake, et al.. (2017). Prostanoid-dependent spontaneous pain and PAR2-dependent mechanical allodynia following oral mucosal trauma. Molecular Pain. 13. 2223507914–2223507914. 26 indexed citations
7.
Gunjigake, Kaori, et al.. (2016). Expression of SOST/sclerostin in compressed periodontal ligament cells. Journal of Dental Sciences. 11(3). 272–278. 17 indexed citations
8.
Goto, Tetsuya, Kaori Gunjigake, Shinji Kataoka, et al.. (2015). Asporin in compressed periodontal ligament cells inhibits bone formation. Archives of Oral Biology. 62. 86–92. 33 indexed citations
9.
Fukuda, Aya, Tetsuya Goto, Kaori Gunjigake, et al.. (2013). Hemokinin-1 competitively inhibits substance P-induced stimulation of osteoclast formation and function. Neuropeptides. 47(4). 251–259. 12 indexed citations
10.
Goto, Tetsuya, Kaori Gunjigake, Shinji Kataoka, et al.. (2013). Nerve Growth Factor Involves Mutual Interaction between Neurons and Satellite Glial Cells in the Rat Trigeminal Ganglion. ACTA HISTOCHEMICA ET CYTOCHEMICA. 46(2). 65–73. 13 indexed citations
11.
Yamaguchi, Kazunori, et al.. (2012). Functional Evaluation of Mouth Breathers and Dentofacial Structures. The Journal of the Kyushu Dental Society. 66(1). 11–20.
12.
Gunjigake, Kaori, et al.. (2011). Neurokinin B activates the formation and bone resorption activity of rat osteoclasts. Neuropeptides. 45(3). 239–244. 7 indexed citations
13.
Yamaguchi, Kazunori, et al.. (2009). Clinical estimation of mouth breathing. American Journal of Orthodontics and Dentofacial Orthopedics. 136(5). 630.e1–630.e7. 25 indexed citations
14.
Yamaguchi, Kazunori, et al.. (2009). Editor's Summary and Q&A. American Journal of Orthodontics and Dentofacial Orthopedics. 136(5). 630–631. 5 indexed citations
15.
Gunjigake, Kaori, et al.. (2009). Activation of Satellite Glial Cells in Rat Trigeminal Ganglion after Upper Molar Extraction. ACTA HISTOCHEMICA ET CYTOCHEMICA. 42(5). 143–149. 30 indexed citations
16.
Gunjigake, Kaori, et al.. (2008). A Survey of Patients' Understanding of Orthodontics Related Words. Orthodontic Waves. 67(1). 27–34. 1 indexed citations
17.
Goto, Tetsuya, et al.. (2007). Substance P stimulates late-stage rat osteoblastic bone formation through neurokinin-1 receptors. Neuropeptides. 41(1). 25–31. 88 indexed citations
18.
Goto, Tetsuya, et al.. (2007). Neuropeptides modulate RANKL and OPG expression in human periodontal ligament cells. Orthodontic Waves. 66(2). 33–40. 6 indexed citations
19.
Goto, Tetsuya, et al.. (2007). Intermittent Force Induces High RANKL Expression in Human Periodontal Ligament Cells. Journal of Dental Research. 86(7). 623–628. 81 indexed citations
20.
Gunjigake, Kaori, et al.. (2006). Correlation between the Appearance of Neuropeptides in the Rat Trigeminal Ganglion and Reinnervation of the Healing Root Socket after Tooth Extraction. ACTA HISTOCHEMICA ET CYTOCHEMICA. 39(3). 69–77. 16 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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