Yuya Hagihara

560 total citations · 1 hit paper
11 papers, 237 citations indexed

About

Yuya Hagihara is a scholar working on Genetics, Surgery and Epidemiology. According to data from OpenAlex, Yuya Hagihara has authored 11 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Yuya Hagihara's work include Inflammatory Bowel Disease (6 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immune Cell Function and Interaction (3 papers). Yuya Hagihara is often cited by papers focused on Inflammatory Bowel Disease (6 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immune Cell Function and Interaction (3 papers). Yuya Hagihara collaborates with scholars based in Japan. Yuya Hagihara's co-authors include Yohei Mikami, Takanori Kanai∥, Tomohisa Sujino, Takahiro Suzuki, Yoshiaki Takada, Yosuke Harada, Po–Sung Chu, Toshiaki Teratani, Nobuhiro Nakamoto and Michiie Sakamoto and has published in prestigious journals such as Nature Communications, Gastroenterology and Frontiers in Immunology.

In The Last Decade

Yuya Hagihara

11 papers receiving 235 citations

Hit Papers

CD8+ tissue-resident memory T cells promote liver fibrosi... 2021 2026 2022 2024 2021 40 80 120

Peers

Yuya Hagihara
Katherine Walwyn-Brown United Kingdom
Cathrin Gudd United Kingdom
Rick Z. Li United States
Anbin Hu China
Yuya Hagihara
Citations per year, relative to Yuya Hagihara Yuya Hagihara (= 1×) peers Taizo Mori

Countries citing papers authored by Yuya Hagihara

Since Specialization
Citations

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

Fields of papers citing papers by Yuya Hagihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Hagihara

This figure shows the co-authorship network connecting the top 25 collaborators of Yuya Hagihara. A scholar is included among the top collaborators of Yuya Hagihara 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 Yuya Hagihara. Yuya Hagihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Chu, Po–Sung, Nobuhiro Nakamoto, Yuya Hagihara, et al.. (2023). Myeloid TLR4 signaling promotes post-injury withdrawal resolution of murine liver fibrosis. iScience. 26(3). 106220–106220. 7 indexed citations
2.
Mizushima, Ichiro, Yuya Hagihara, Yoshiaki Takada, et al.. (2022). Enrichment of type I interferon signaling in colonic group 2 innate lymphoid cells in experimental colitis. Frontiers in Immunology. 13. 982827–982827. 3 indexed citations
3.
Hayashi, Yukie, Kaoru Takabayashi, Motohiko Kato, et al.. (2022). Usefulness of texture and color enhancement imaging in assessing mucosal healing in patients with ulcerative colitis. Gastrointestinal Endoscopy. 97(4). 759–766.e1. 12 indexed citations
4.
Koda, Yuzo, Toshiaki Teratani, Po–Sung Chu, et al.. (2021). CD8+ tissue-resident memory T cells promote liver fibrosis resolution by inducing apoptosis of hepatic stellate cells. Nature Communications. 12(1). 4474–4474. 147 indexed citations breakdown →
5.
Fukuda, T., Makoto Naganuma, Kaoru Takabayashi, et al.. (2020). P630 Complete endoscopic remission is not only associated with higher mucosal concentrations of 5-aminosalicylic acid but also with N-acetyl-5-aminosalicylic acid in patients with ulcerative colitis. Journal of Crohn s and Colitis. 14(Supplement_1). S522–S523. 1 indexed citations
6.
Fukuda, T., Makoto Naganuma, Kaoru Takabayashi, et al.. (2020). Mucosal concentrations of N‐acetyl‐5‐aminosalicylic acid related to endoscopic activity in ulcerative colitis patients with mesalamine. Journal of Gastroenterology and Hepatology. 35(11). 1878–1885. 10 indexed citations
7.
Takemoto, Hironori, et al.. (2019). Speech Organ Contour Extraction Using Real-Time MRI and Machine Learning Method. 904–908. 4 indexed citations
8.
Hagihara, Yuya, Yusuke Yoshimatsu, Yohei Mikami, et al.. (2019). Epigenetic regulation of T helper cells and intestinal pathogenicity. Seminars in Immunopathology. 41(3). 379–399. 19 indexed citations
9.
Yoshimatsu, Yusuke, Toshiaki Teratani, Tomohisa Sujino, et al.. (2019). Tu1772 – ?Indigo Naturalis' Ameliorates Ulcerative Colitis Via Modulating Ahr Signaling and Microbe Composition. Gastroenterology. 156(6). S–1118. 1 indexed citations
10.
Takada, Yoshiaki, Makoto Naganuma, Makoto Mutaguchi, et al.. (2019). P093 The Comparison of Short-Term Efficacy of Treatments Between Tofacitinib and Vedolizumab in Patients With Ulcerative Colitis. The American Journal of Gastroenterology. 114(1). S24–S25. 2 indexed citations
11.
Mikami, Yohei, Yoshiaki Takada, Yuya Hagihara, & Takanori Kanai∥. (2018). Innate lymphoid cells in organ fibrosis. Cytokine & Growth Factor Reviews. 42. 27–36. 31 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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