Ryo Atsuta

628 total citations
31 papers, 437 citations indexed

About

Ryo Atsuta is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Ryo Atsuta has authored 31 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Physiology, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Immunology. Recurrent topics in Ryo Atsuta's work include Asthma and respiratory diseases (24 papers), Respiratory and Cough-Related Research (8 papers) and IL-33, ST2, and ILC Pathways (8 papers). Ryo Atsuta is often cited by papers focused on Asthma and respiratory diseases (24 papers), Respiratory and Cough-Related Research (8 papers) and IL-33, ST2, and ILC Pathways (8 papers). Ryo Atsuta collaborates with scholars based in Japan, Canada and United States. Ryo Atsuta's co-authors include Kazuhisa Takahashi, Norihiro Harada, Jun Ito, Sonoko Harada, Delbert R. Dorscheid, Tillie‐Louise Hackett, Samuel Wadsworth, J. Oliver McIntyre, Gurpreet K. Singhera and Hisaya Akiba and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ryo Atsuta

29 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryo Atsuta Japan 13 215 160 113 82 57 31 437
Yasue Suzaki Japan 8 168 0.8× 91 0.6× 131 1.2× 89 1.1× 54 0.9× 10 406
Lynnsey M Hamilton United Kingdom 7 208 1.0× 137 0.9× 153 1.4× 68 0.8× 39 0.7× 7 382
Y.‐M. Ye South Korea 10 232 1.1× 127 0.8× 158 1.4× 73 0.9× 40 0.7× 11 450
Yuki Sakazaki Japan 11 161 0.7× 189 1.2× 216 1.9× 208 2.5× 22 0.4× 23 550
Carian E. Boorsma Netherlands 10 118 0.5× 176 1.1× 184 1.6× 105 1.3× 13 0.2× 14 426
Sahar Hamadi United States 5 111 0.5× 140 0.9× 97 0.9× 70 0.9× 26 0.5× 6 317
Stefano Bertacco Italy 9 308 1.4× 375 2.3× 109 1.0× 46 0.6× 35 0.6× 10 533
David Gibeon United Kingdom 12 420 2.0× 289 1.8× 201 1.8× 221 2.7× 75 1.3× 17 758
Mariafrancesca Catalano Italy 6 93 0.4× 170 1.1× 44 0.4× 72 0.9× 20 0.4× 7 397
Anna Lewandowska‐Polak Poland 11 194 0.9× 96 0.6× 67 0.6× 33 0.4× 87 1.5× 36 380

Countries citing papers authored by Ryo Atsuta

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Atsuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Atsuta

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Atsuta. A scholar is included among the top collaborators of Ryo Atsuta 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 Ryo Atsuta. Ryo Atsuta 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.
Harada, Sonoko, Norihiro Harada, Yoshihiko Sato, et al.. (2024). Differences between oscillometry measurements obtained by MostGraph-01 and MasterScreen-IOS in patients with asthma. PLoS ONE. 19(9). e0309981–e0309981.
2.
Harada, Norihiro, Sonoko Harada, Sumiko Abe, et al.. (2023). Pretreatment Frequency of Circulating Th17 Cells and FeNO Levels Predicted the Real-World Response after 1 Year of Benralizumab Treatment in Patients with Severe Asthma. Biomolecules. 13(3). 538–538. 8 indexed citations
3.
Harada, Norihiro, Sonoko Harada, Tetsutaro Nagaoka, et al.. (2023). Pretreatment circulating MAIT cells, neutrophils, and periostin predicted the real-world response after 1-year mepolizumab treatment in asthmatics. Allergology International. 73(1). 94–106. 6 indexed citations
4.
Harada, Norihiro, Sonoko Harada, Jun Ito, et al.. (2021). Chitin induces steroid-resistant airway inflammation and airway hyperresponsiveness in mice. Allergology International. 70(3). 343–350. 6 indexed citations
5.
Nagase, Hiroyuki, Naoya Sugimoto, Shiho Yamamoto, et al.. (2021). Mepolizumab decreased the levels of serum galectin-10 and eosinophil cationic protein in asthma. Asia Pacific Allergy. 11(3). e31–e31. 14 indexed citations
6.
Harada, Norihiro, Sonoko Harada, Jun Ito, et al.. (2020). Mobile Health App for Japanese Adult Patients With Asthma: Clinical Observational Study. Journal of Medical Internet Research. 22(8). e19006–e19006. 11 indexed citations
7.
Wang, Kay, Jan Y. Verbakel, Jason Oke, et al.. (2020). Using fractional exhaled nitric oxide to guide step-down treatment decisions in patients with asthma: a systematic review and individual patient data meta-analysis. European Respiratory Journal. 55(5). 1902150–1902150. 23 indexed citations
8.
Harada, Norihiro, Sonoko Harada, Jun Ito, et al.. (2018). Characterization of tenascin-C as a novel biomarker for asthma: utility of tenascin-C in combination with periostin or immunoglobulin E. Allergy Asthma and Clinical Immunology. 14(1). 72–72. 21 indexed citations
9.
Hasegawa, Shunji, Takeshi Matsushige, Hiroyuki Wakiguchi, et al.. (2017). Pulmonary inflammation and cytokine dynamics of bronchoalveolar lavage fluid from a mouse model of bronchial asthma during A(H1N1)pdm09 influenza infection. Scientific Reports. 7(1). 9128–9128. 7 indexed citations
11.
Harada, Norihiro, Sonoko Harada, Jun Ito, et al.. (2015). Characteristics of alveolar macrophages from murine models of OVA-induced allergic airway inflammation and LPS-induced acute airway inflammation. Experimental Lung Research. 41(7). 370–382. 12 indexed citations
13.
Harada, Norihiro, Sonoko Harada, Jun Ito, et al.. (2015). TWEAK enhances TGF-β-induced epithelial-mesenchymal transition in human bronchial epithelial cells. Respiratory Research. 16(1). 48–48. 56 indexed citations
14.
Ito, Reiko, Yasuhiro Gon, Satoshi Nunomura, et al.. (2014). Development of Assay for Determining Free IgE Levels in Serum from Patients Treated with Omalizumab. Allergology International. 63. 37–47. 13 indexed citations
15.
Okada, Seigo, Shunji Hasegawa, Hideki Hasegawa, et al.. (2013). Analysis of bronchoalveolar lavage fluid in a mouse model of bronchial asthma and H1N1 2009 infection. Cytokine. 63(2). 194–200. 21 indexed citations
16.
Ito, Jun, Norihiro Harada, Yoshihiko Usui, et al.. (2011). Wound-induced TGF-β1 and TGF-β2 enhance airway epithelial repair via HB-EGF and TGF-α. Biochemical and Biophysical Research Communications. 412(1). 109–114. 21 indexed citations
18.
Wadsworth, Samuel, Ryo Atsuta, J. Oliver McIntyre, et al.. (2010). IL-13 and TH2 cytokine exposure triggers matrix metalloproteinase 7–mediated Fas ligand cleavage from bronchial epithelial cells. Journal of Allergy and Clinical Immunology. 126(2). 366–374.e8. 48 indexed citations
19.
Yoshioka, Masakata, Hironori Sagara, Fumiyuki Takahashi, et al.. (2008). Role of multidrug resistance-associated protein 1 in the pathogenesis of allergic airway inflammation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 296(1). L30–L36. 23 indexed citations
20.
Atsuta, Ryo, Kazuo Akiyama, Takuji Shirasawa, et al.. (1999). Atopic Asthma Is Dominant in Elderly Onset Asthmatics: Possibility for an Alteration of Mast Cell Function by Aging through Fc Receptor Expression. International Archives of Allergy and Immunology. 120(Suppl. 1). 76–81. 8 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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