Ryuta Kamekura

2.1k total citations
69 papers, 1.6k citations indexed

About

Ryuta Kamekura is a scholar working on Rheumatology, Immunology and Surgery. According to data from OpenAlex, Ryuta Kamekura has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Rheumatology, 25 papers in Immunology and 22 papers in Surgery. Recurrent topics in Ryuta Kamekura's work include IgG4-Related and Inflammatory Diseases (23 papers), Barrier Structure and Function Studies (13 papers) and Neuroendocrine Tumor Research Advances (12 papers). Ryuta Kamekura is often cited by papers focused on IgG4-Related and Inflammatory Diseases (23 papers), Barrier Structure and Function Studies (13 papers) and Neuroendocrine Tumor Research Advances (12 papers). Ryuta Kamekura collaborates with scholars based in Japan, United States and Mexico. Ryuta Kamekura's co-authors include Tetsuo Himi, Kenichi Takano, Shingo Ichimiya, Takashi Kojima, Mitsuru Go, Noriko Ogasawara, Norimasa Sawada, Porfirio Nava, Jun‐ichi Koizumi and Hiroki Takahashi and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ryuta Kamekura

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryuta Kamekura Japan 25 541 443 305 305 282 69 1.6k
Joanne C. Masterson United States 26 977 1.8× 705 1.6× 885 2.9× 274 0.9× 493 1.7× 45 2.3k
Kotaro Suzuki Japan 30 1.7k 3.2× 638 1.4× 230 0.8× 553 1.8× 375 1.3× 77 2.9k
Hiroaki Takatori Japan 23 1.5k 2.8× 489 1.1× 315 1.0× 326 1.1× 196 0.7× 44 2.3k
Maogen Chen China 23 904 1.7× 383 0.9× 308 1.0× 132 0.4× 171 0.6× 73 1.9k
Saba Alzabin United Kingdom 17 1.3k 2.4× 549 1.2× 98 0.3× 125 0.4× 496 1.8× 22 2.2k
Hayley G. Evans United Kingdom 17 1.3k 2.5× 324 0.7× 113 0.4× 130 0.4× 380 1.3× 27 2.0k
Mitsuteru Akahoshi Japan 26 1.4k 2.5× 365 0.8× 191 0.6× 391 1.3× 784 2.8× 68 2.3k
Richard J. DiPaolo United States 30 2.6k 4.8× 611 1.4× 462 1.5× 145 0.5× 123 0.4× 66 3.6k
Gretta L. Stritesky United States 15 2.1k 3.9× 343 0.8× 113 0.4× 232 0.8× 155 0.5× 22 2.6k
Sarah J. McMillan United Kingdom 13 846 1.6× 333 0.8× 221 0.7× 939 3.1× 122 0.4× 16 1.7k

Countries citing papers authored by Ryuta Kamekura

Since Specialization
Citations

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

Fields of papers citing papers by Ryuta Kamekura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuta Kamekura

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuta Kamekura. A scholar is included among the top collaborators of Ryuta Kamekura 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 Ryuta Kamekura. Ryuta Kamekura 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.
Yamamoto, Motohisa, et al.. (2024). Submandibular gland tissue RNAseq and spatial transcriptome analyses in IgG4-related disease. Lara D. Veeken. 64(4). 2265–2271. 1 indexed citations
2.
Kamekura, Ryuta, et al.. (2024). Interleukin 9 mediates T follicular helper cell activation to promote antibody responses. Frontiers in Immunology. 15. 1441407–1441407. 2 indexed citations
3.
4.
Takaki, Hiromi, Ryuta Kamekura, Takafumi Kamiya, et al.. (2022). Functional Interplay between IL-9 and Peptide YY Contributes to Chronic Skin Inflammation. Journal of Investigative Dermatology. 142(12). 3222–3231.e5. 5 indexed citations
5.
Kamekura, Ryuta, Junji Kato, Takafumi Kamiya, et al.. (2020). Cigarette Smoke Underlies the Pathogenesis of Palmoplantar Pustulosis via an IL-17A–Induced Production of IL-36γ in Tonsillar Epithelial Cells. Journal of Investigative Dermatology. 141(6). 1533–1541.e4. 27 indexed citations
6.
Kamekura, Ryuta, Motohisa Yamamoto, Kenichi Takano, et al.. (2019). IL-10+ T follicular regulatory cells are associated with the pathogenesis of IgG4-related disease. Immunology Letters. 207. 56–63. 32 indexed citations
7.
Yamamoto, Motohisa, Kenichi Takano, Ryuta Kamekura, et al.. (2019). Analysis of allergic reaction in IgG4-related disease. Modern Rheumatology. 29(6). 1063–1065. 6 indexed citations
8.
Jitsukawa, Sumito, Ryuta Kamekura, Koji Kawata, et al.. (2017). Loss of sorting nexin 5 stabilizes internalized growth factor receptors to promote thyroid cancer progression. The Journal of Pathology. 243(3). 342–353. 19 indexed citations
9.
Kamekura, Ryuta, et al.. (2016). Role of Crosstalk between Epithelial and Immune Cells, the Epimmunome, in Allergic Rhinitis Pathogenesis. Advances in oto-rhino-laryngology. 77. 75–82. 9 indexed citations
10.
Kamekura, Ryuta, Kenichi Takano, Keiji Yamashita, et al.. (2016). Expression and Localization of Human Defensins in Palatine Tonsils. Advances in oto-rhino-laryngology. 77. 112–118. 8 indexed citations
11.
Kawata, Koji, Ryuta Kamekura, Sumito Jitsukawa, et al.. (2016). Lipid mediators foster the differentiation of T follicular helper cells. Immunology Letters. 181. 51–57. 18 indexed citations
12.
Yamashita, Keiji, Shingo Ichimiya, Ryuta Kamekura, et al.. (2016). Studies of Tonsils in Basic and Clinical Perspectives: From the Past to the Future. Advances in oto-rhino-laryngology. 77. 119–124. 2 indexed citations
13.
Ichimiya, Shingo, et al.. (2016). Functional RNAs control T follicular helper cells. Journal of Human Genetics. 62(1). 81–86. 4 indexed citations
14.
Kamekura, Ryuta, Porfirio Nava, Mingli Feng, et al.. (2015). Inflammation-induced desmoglein-2 ectodomain shedding compromises the mucosal barrier. Molecular Biology of the Cell. 26(18). 3165–3177. 48 indexed citations
15.
Kubo, Terufumi, Ryuta Kamekura, A Kumagai, et al.. (2014). ΔNp63 Controls a TLR3-Mediated Mechanism That Abundantly Provides Thymic Stromal Lymphopoietin in Atopic Dermatitis. PLoS ONE. 9(8). e105498–e105498. 25 indexed citations
16.
Nava, Porfirio, Ryuta Kamekura, & Asma Nusrat. (2013). Cleavage of transmembrane junction proteins and their role in regulating epithelial homeostasis. Tissue Barriers. 1(2). e24783–e24783. 37 indexed citations
17.
Ohkuni, Tsuyoshi, Takashi Kojima, Noriko Ogasawara, et al.. (2010). Poly(I:C) reduces expression of JAM-A and induces secretion of IL-8 and TNF-α via distinct NF-κB pathways in human nasal epithelial cells. Toxicology and Applied Pharmacology. 250(1). 29–38. 38 indexed citations
18.
Kamekura, Ryuta, Takashi Kojima, Jun‐ichi Koizumi, et al.. (2009). Thymic stromal lymphopoietin enhances tight-junction barrier function of human nasal epithelial cells. Cell and Tissue Research. 338(2). 283–293. 66 indexed citations
19.
Yanagi, Teruki, et al.. (2007). Relapsing Polychondritis and Malignant Lymphoma. Archives of Dermatology. 143(1). 89–90. 25 indexed citations
20.
Kamekura, Ryuta, et al.. (2006). Two Cases of Primary Small Cell Carcinoma of the Nasal Cavity and Paranasal Sinus. Practica Oto-Rhino-Laryngologica. 99(11). 919–927. 1 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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