Hiroyuki Tashimo

997 total citations
25 papers, 692 citations indexed

About

Hiroyuki Tashimo is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Hiroyuki Tashimo has authored 25 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Immunology. Recurrent topics in Hiroyuki Tashimo's work include Asthma and respiratory diseases (18 papers), Respiratory and Cough-Related Research (8 papers) and IL-33, ST2, and ILC Pathways (6 papers). Hiroyuki Tashimo is often cited by papers focused on Asthma and respiratory diseases (18 papers), Respiratory and Cough-Related Research (8 papers) and IL-33, ST2, and ILC Pathways (6 papers). Hiroyuki Tashimo collaborates with scholars based in Japan, China and United States. Hiroyuki Tashimo's co-authors include Ken Ohta, Naomi Yamashita, Wei Xing, Pamela B. Conley, Joshua A. Boyce, Sailaja Paruchuri, Yongfeng Jiang, Yoshihide Kanaoka, Chunli Feng and Akiko Maekawa and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Hiroyuki Tashimo

24 papers receiving 679 citations

Peers

Hiroyuki Tashimo
Lesley Flynt United States
Zheng-Fu Xie China
Lisa Jolly United Kingdom
Wai Cheung United States
Matthias John Germany
Loubna Akhabir Canada
Marjan Luinge Netherlands
Tomoyuki Soma Japan
Laurent Benayoun France
Akemi Takamizawa Japan
Lesley Flynt United States
Hiroyuki Tashimo
Citations per year, relative to Hiroyuki Tashimo Hiroyuki Tashimo (= 1×) peers Lesley Flynt

Countries citing papers authored by Hiroyuki Tashimo

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Tashimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Tashimo

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Tashimo. A scholar is included among the top collaborators of Hiroyuki Tashimo 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 Hiroyuki Tashimo. Hiroyuki Tashimo 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.
Suzukawa, Maho, Ken Ohta, M. Sugimoto, et al.. (2024). Identification of exhaled volatile organic compounds that characterize asthma phenotypes: A J-VOCSA study. Allergology International. 73(4). 524–531. 2 indexed citations
2.
Suzukawa, Maho, et al.. (2023). Low Serum IL-18 Levels May Predict the Effectiveness of Dupilumab in Severe Asthma. Internal Medicine. 63(2). 179–187. 1 indexed citations
3.
Takeda, Keita, Junko Suzuki, Masashi Kitani, et al.. (2023). Chronic Pulmonary Aspergillosis Caused by <i>Aspergillus tubingensis</i> Diagnosed by a Bronchoscopic Biopsy. Internal Medicine. 63(2). 289–292. 1 indexed citations
4.
Suzukawa, Maho, Hiroyuki Tashimo, Nobuharu Ohshima, et al.. (2023). Serum MMP3 and IL1-RA levels may be useful biomarkers for detecting asthma and chronic obstructive pulmonary disease overlap in patients with asthma. World Allergy Organization Journal. 16(11). 100840–100840. 2 indexed citations
5.
Watanabe, Kaoru, Maho Suzukawa, Hiroyuki Tashimo, et al.. (2022). Leptin-producing monocytes in the airway submucosa may contribute to asthma pathogenesis. Respiratory Investigation. 61(1). 5–15. 5 indexed citations
6.
Suzukawa, Maho, Hiroyuki Tashimo, Nobuharu Ohshima, et al.. (2021). High serum cytokine levels may predict the responsiveness of patients with severe asthma to benralizumab. Journal of Asthma. 59(8). 1604–1612. 7 indexed citations
7.
Suzukawa, Maho, Nobuharu Ohshima, Hiroyuki Tashimo, et al.. (2020). A Low Serum CCL4/MIP-1β Level May Predict a Severe Asthmatic Responsiveness to Mepolizumab. Internal Medicine. 59(22). 2849–2855. 7 indexed citations
8.
9.
Konno, A, Osamu Narumoto, Hirotoshi Matsui, et al.. (2019). The benefit of stool mycobacterial examination to diagnose pulmonary tuberculosis for adult and elderly patients. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases. 16. 100106–100106. 4 indexed citations
10.
Watanabe, Kaoru, Maho Suzukawa, Sayaka Arakawa, et al.. (2019). Leptin enhances cytokine/chemokine production by normal lung fibroblasts by binding to leptin receptor. Allergology International. 68. S3–S8. 35 indexed citations
11.
Suzukawa, Maho, Hisako Matsumoto, Nobuharu Ohshima, et al.. (2017). Baseline serum CXCL10 and IL-12 levels may predict severe asthmatics' responsiveness to omalizumab. Respiratory Medicine. 134. 95–102. 20 indexed citations
12.
Koketsu, Rikiya, Masao Yamaguchi, Maho Suzukawa, et al.. (2013). Pretreatment with Low Levels of FcεRI-Crosslinking Stimulation Enhances Basophil Mediator Release. International Archives of Allergy and Immunology. 161(Suppl. 2). 23–31. 6 indexed citations
13.
Paruchuri, Sailaja, Hiroyuki Tashimo, Chunli Feng, et al.. (2009). Leukotriene E4–induced pulmonary inflammation is mediated by the P2Y12 receptor. The Journal of Experimental Medicine. 206(11). 2543–2555. 201 indexed citations
14.
Su, Xinming, Enjing Jin, Masakazu Fujiwara, et al.. (2008). Spatial and Phenotypic Characterization of Vascular Remodeling in a Mouse Model of Asthma. Pathobiology. 75(1). 42–56. 12 indexed citations
15.
Mikami, Katsunaka, Masaru Suzuki, Hiroshi Kitagawa, et al.. (2007). Efficacy of Corticosteroids in the Treatment of Community-Acquired Pneumonia Requiring Hospitalization. Lung. 185(5). 249–255. 107 indexed citations
16.
Tashimo, Hiroyuki, Naomi Yamashita, Hiroyuki Nagase, et al.. (2007). Effect of Procaterol, a β2 Selective Adrenergic Receptor Agonist, on Airway Inflammation and Hyperresponsiveness. Allergology International. 56(3). 241–247. 12 indexed citations
17.
Yamashita, Naomi, Hiroyuki Tashimo, Yukiko Matsuo, et al.. (2006). Involvement of GATA-3-dependent Th2 lymphocyte activation in airway hyperresponsiveness. American Journal of Physiology-Lung Cellular and Molecular Physiology. 290(6). L1045–L1051. 19 indexed citations
18.
Yamashita, Naomi, Hiroyuki Tashimo, Yukiko Matsuo, et al.. (2006). Role of CCL21 and CCL19 in allergic inflammation in the ovalbumin-specific murine asthmatic model. Journal of Allergy and Clinical Immunology. 117(5). 1040–1046. 42 indexed citations
19.
Yamashita, Naomi, Hiroyuki Tashimo, Yukiko Matsuo, et al.. (2005). Role of insulin-like growth factor-I in allergen-induced airway inflammation and remodeling. Cellular Immunology. 235(2). 85–91. 42 indexed citations
20.
Yamashita, Naomi, Hiroyuki Tashimo, Junichi Nakano, et al.. (2002). Attenuation of airway hyperresponsiveness in a murine asthma model by neutralization of granulocyte–macrophage colony-stimulating factor (GM-CSF). Cellular Immunology. 219(2). 92–97. 81 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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