Takehiro Hasegawa

543 total citations
24 papers, 369 citations indexed

About

Takehiro Hasegawa is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Infectious Diseases. According to data from OpenAlex, Takehiro Hasegawa has authored 24 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 6 papers in Physiology and 3 papers in Infectious Diseases. Recurrent topics in Takehiro Hasegawa's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), COVID-19 Clinical Research Studies (3 papers) and Asthma and respiratory diseases (3 papers). Takehiro Hasegawa is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), COVID-19 Clinical Research Studies (3 papers) and Asthma and respiratory diseases (3 papers). Takehiro Hasegawa collaborates with scholars based in Japan, United States and China. Takehiro Hasegawa's co-authors include R. G. Graw, Hirokazu Kurata, Akio Mori, P I Terasaki, Hiroki Takahashi, Kouichi R. Tanaka, Hiroyuki Nagano, Ryoichi Kamide, Masahiro Nagamuta and M Matsumoto and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Takehiro Hasegawa

21 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takehiro Hasegawa Japan 10 118 80 74 69 61 24 369
Avi Hassner Israel 12 44 0.4× 120 1.5× 90 1.2× 72 1.0× 122 2.0× 21 533
Heather Wray United Kingdom 12 161 1.4× 90 1.1× 21 0.3× 228 3.3× 104 1.7× 28 894
Sonia Alcolea Spain 10 53 0.4× 23 0.3× 45 0.6× 70 1.0× 73 1.2× 27 315
Arlan D. Martin United States 12 77 0.7× 114 1.4× 15 0.2× 49 0.7× 92 1.5× 19 292
Masafumi Nishino Japan 18 245 2.1× 17 0.2× 64 0.9× 64 0.9× 46 0.8× 59 862
Saif A. Muhsin United States 8 166 1.4× 31 0.4× 28 0.4× 126 1.8× 62 1.0× 13 500
Diane L. Kachel United States 13 180 1.5× 54 0.7× 23 0.3× 151 2.2× 117 1.9× 20 536
R. García Spain 11 42 0.4× 39 0.5× 33 0.4× 107 1.6× 91 1.5× 27 546
Thomas H. Tarter United States 10 66 0.6× 23 0.3× 25 0.3× 88 1.3× 100 1.6× 21 466
Takahiro Kageyama Japan 12 28 0.2× 41 0.5× 39 0.5× 89 1.3× 133 2.2× 34 408

Countries citing papers authored by Takehiro Hasegawa

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Hasegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Hasegawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Hasegawa. A scholar is included among the top collaborators of Takehiro Hasegawa 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 Takehiro Hasegawa. Takehiro Hasegawa 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.
Kawasaki, Hiroshi, Keiji Tanese, Tamotsu Ebihara, et al.. (2025). An unbiased tissue transcriptome analysis identifies potential markers for skin phenotypes and therapeutic responses in atopic dermatitis. Nature Communications. 16(1). 4981–4981. 2 indexed citations
2.
Hasegawa, Takehiro, et al.. (2025). Defining a non-eosinophilic inflammatory subtype in COPD: the role of CXCL9 and type 1 immune responses. Frontiers in Immunology. 16. 1576849–1576849.
3.
Fernández‐Fernández, Beatriz, Takehiro Hasegawa, Ana B. Sanz, et al.. (2025). Plasma Interleukin 22 Predicts Progression of Early Diabetic Kidney Disease. American Journal of Nephrology. 1–13.
4.
Hasegawa, Takehiro, Shunsuke Watanabe, Hideo Asada, et al.. (2023). Development of a new HISCL automated CXCL9 immunoassay. Scientific Reports. 13(1). 5342–5342. 3 indexed citations
5.
6.
Nagano, Tatsuya, et al.. (2023). Cellular immunity reflects the persistent symptoms among COVID-19 recovered patients in Japan. Scientific Reports. 13(1). 11071–11071. 3 indexed citations
7.
Hasegawa, Takehiro, Takashi Hato, Toshitsugu Okayama, et al.. (2022). Th1 cytokine endotype discriminates and predicts severe complications in COVID-19. European Cytokine Network. 33(2). 1–12. 9 indexed citations
8.
Hasegawa, Takehiro, et al.. (2021). Type 1 inflammatory endotype relates to low compliance, lung fibrosis, and severe complications in COVID-19. Cytokine. 148. 155618–155618. 15 indexed citations
9.
Zheng, Peiyan, Takehiro Hasegawa, Zhangkai J. Cheng, et al.. (2021). The prognostic value of Krebs von den Lungen-6 and surfactant protein-A levels in the patients with interstitial lung disease. Journal of Translational Internal Medicine. 9(3). 212–222. 9 indexed citations
10.
11.
Tateishi, Tomoya, Mitsuhiro Kishino, Ukihide Tateishi, et al.. (2019). Serum CXCL9 and CCL17 as biomarkers of declining pulmonary function in chronic bird-related hypersensitivity pneumonitis. PLoS ONE. 14(8). e0220462–e0220462. 26 indexed citations
12.
Hasegawa, Takehiro, et al.. (2017). Increased serum IL-17A and Th2 cytokine levels in patients with severe uncontrolled asthma. European Cytokine Network. 28(1). 8–18. 59 indexed citations
13.
Kawano, Koji, Noriyuki Nagata, Masashi Yuki, et al.. (2016). Prevalence of food-responsive enteropathy among dogs with chronic enteropathy in Japan. Journal of Veterinary Medical Science. 78(8). 1377–1380. 17 indexed citations
14.
Hasegawa, Takehiro, et al.. (2009). Development of Rapid Diagnostic Reagents for Measles. Hybridoma. 28(4). 241–249. 4 indexed citations
15.
Hasegawa, Takehiro, et al.. (2005). Bilateral Vocal Cord Fixation in a Patient with Shy-Drager Syndrome. Practica Oto-Rhino-Laryngologica. 98(8). 655–658.
16.
Miyatake, H., et al.. (2005). A novel method to prepare iodine derivatives for in-house phasing. Acta Crystallographica Section A Foundations of Crystallography. 61(a1). c153–c154. 1 indexed citations
17.
Fukushima, M, Takao Tsushima, Shigeru Takahashi, et al.. (1998). [A case of squamous cell carcinoma of the lung associated with exophthalmos and hypercalcemia].. PubMed. 51(2). 168–73. 6 indexed citations
18.
Kamachi, Hajime, et al.. (1993). Synthesis and antifungal activity of pradimicin derivatives. Modifications on the aglycone part.. The Journal of Antibiotics. 46(9). 1447–1457. 12 indexed citations
19.
Matsumoto, M, Masahiro Nagamuta, Kouichi R. Tanaka, et al.. (1993). Reduced phototoxicity of a fluoroquinolone antibacterial agent with a methoxy group at the 8 position in mice irradiated with long-wavelength UV light. Antimicrobial Agents and Chemotherapy. 37(10). 2217–2223. 93 indexed citations
20.
Hasegawa, Takehiro, et al.. (1975). Occurrence of Granulocyte Cytotoxins and Agglutinins. Transfusion. 15(3). 226–230. 21 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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