Michinari Hirata

2.1k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Michinari Hirata is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Michinari Hirata has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Michinari Hirata's work include Cancer Immunotherapy and Biomarkers (11 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). Michinari Hirata is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Immune Cell Function and Interaction (9 papers) and CAR-T cell therapy research (5 papers). Michinari Hirata collaborates with scholars based in Japan and United States. Michinari Hirata's co-authors include Eisuke Mekada, Atsushi Kumanogoh, C Mori, T Kishimoto, Kiyoshi Yoshida, Yoshihiro Yoneda, Nobuaki Yoshida, Kunio Shiota, Hiroshi Fujiwara and Toshio Tanaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Michinari Hirata

25 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeted disruption of gp130, a common signal transducer for the interleukin 6 family of cytokines, leads to myocardial and hematological disorders.

1996 529 citations Atsushi Kumanogoh, Michinari Hirata et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michinari Hirata Japan	15	756	655	440	134	106	26	1.4k
Sriram Balasubramanian United States	21	1.1k 1.5×	754 1.2×	365 0.8×	87 0.6×	126 1.2×	61	2.0k
Niina Veitonmäki Sweden	17	807 1.1×	578 0.9×	446 1.0×	394 2.9×	90 0.8×	22	1.8k
Frank C. Stomski Australia	23	727 1.0×	463 0.7×	800 1.8×	103 0.8×	92 0.9×	35	1.8k
Pjotr Knyazev Germany	21	1.0k 1.4×	664 1.0×	742 1.7×	226 1.7×	125 1.2×	30	1.9k
Xiaosong Zhong China	15	717 0.9×	889 1.4×	754 1.7×	161 1.2×	74 0.7×	30	1.8k
Sandra Mifsud Australia	19	628 0.8×	478 0.7×	713 1.6×	142 1.1×	75 0.7×	39	1.7k
Louis Hornez France	17	784 1.0×	407 0.6×	161 0.4×	205 1.5×	111 1.0×	41	1.4k
Jason A. Powell Australia	24	1.0k 1.4×	318 0.5×	340 0.8×	169 1.3×	86 0.8×	42	1.6k
Kota Iwahori Japan	21	451 0.6×	863 1.3×	552 1.3×	118 0.9×	254 2.4×	53	1.7k
Tsuyoshi Takahashi Japan	16	426 0.6×	421 0.6×	340 0.8×	124 0.9×	142 1.3×	34	1.1k

Countries citing papers authored by Michinari Hirata

Since Specialization

Citations

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

Fields of papers citing papers by Michinari Hirata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michinari Hirata

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

All Works

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20 of 20 papers shown

Tone, Mari, Kota Iwahori, Michinari Hirata, et al.. (2024). Tetracyclines enhance antitumor T-cell immunity via the Zap70 signaling pathway. Journal for ImmunoTherapy of Cancer. 12(4). e008334–e008334. 6 indexed citations

Hayashi, Yoshinori, Azumi Ueyama, Soichiro Funaki, et al.. (2024). In situ analysis of CCR8+ regulatory T cells in lung cancer: suppression of GzmB+ CD8+ T cells and prognostic marker implications. BMC Cancer. 24(1). 627–627. 5 indexed citations

Nagira, Morio, Ryohei Nagai, Michinari Hirata, et al.. (2023). S-531011, a Novel Anti-Human CCR8 Antibody, Induces Potent Antitumor Responses through Depletion of Tumor-Infiltrating CCR8-Expressing Regulatory T Cells. Molecular Cancer Therapeutics. 22(9). 1063–1072. 14 indexed citations

Iwahori, Kota, Masahiro Yanagawa, Yoko Yamamoto, et al.. (2023). T cell immunity in interstitial lung disease with non-small cell lung cancer patients. Lung Cancer. 182. 107278–107278. 2 indexed citations

Nose, Yohei, Takuro Saito, Kei Yamamoto, et al.. (2022). The tissue-resident marker CD103 on peripheral blood T cells predicts responses to anti-PD-1 therapy in gastric cancer. Cancer Immunology Immunotherapy. 72(1). 169–181. 17 indexed citations

Hirata, Michinari, Miya Haruna, Azumi Ueyama, et al.. (2022). Tumor-infiltrating ICOS⁺Effector Regulatory T-Cells in Oral Squamous Cell Carcinoma as a Promising Biomarker for Prognosis and ‘Hot’ Tumor. Anticancer Research. 42(5). 2383–2393.

Haruna, Miya, Azumi Ueyama, Yoko Yamamoto, et al.. (2022). The impact of CCR8+ regulatory T cells on cytotoxic T cell function in human lung cancer. Scientific Reports. 12(1). 5377–5377. 30 indexed citations

Urakawa, Shinya, Makoto Yamasaki, Tomoki Makino, et al.. (2020). The impact of ICOS+ regulatory T cells and Helicobacter pylori infection on the prognosis of patients with gastric and colorectal cancer: potential prognostic benefit of pre-operative eradication therapy. Cancer Immunology Immunotherapy. 70(2). 443–452. 13 indexed citations

Yamamoto, Yoko, Kota Iwahori, Soichiro Funaki, et al.. (2020). Immunotherapeutic potential of CD4 and CD8 single-positive T cells in thymic epithelial tumors. Scientific Reports. 10(1). 4064–4064. 18 indexed citations

10.

Urakawa, Shinya, Makoto Yamasaki, Kumiko Goto, et al.. (2019). Peri-operative monocyte count is a marker of poor prognosis in gastric cancer: increased monocytes are a characteristic of myeloid-derived suppressor cells. Cancer Immunology Immunotherapy. 68(8). 1341–1350. 32 indexed citations

11.

Fukuda, Yasunari, Tadafumi Asaoka, Hidetoshi Eguchi, et al.. (2019). Endogenous CXCL9 affects prognosis by regulating tumor‐infiltrating natural killer cells in intrahepatic cholangiocarcinoma. Cancer Science. 111(2). 323–333. 47 indexed citations

12.

Tanaka, Yukari, et al.. (2018). Distribution analysis of epertinib in brain metastasis of HER2-positive breast cancer by imaging mass spectrometry and prospect for antitumor activity. Scientific Reports. 8(1). 343–343. 33 indexed citations

13.

Shojima, Kensaku, Akira Sato, Hideaki Hanaki, et al.. (2015). Wnt5a promotes cancer cell invasion and proliferation by receptor-mediated endocytosis-dependent and -independent mechanisms, respectively. Scientific Reports. 5(1). 8042–8042. 58 indexed citations

14.

Tanaka, Hidekazu, Michinari Hirata, Toru Wada, et al.. (2014). Preclinical antitumor activity of S‐222611, an oral reversible tyrosine kinase inhibitor of epidermal growth factor receptor and human epidermal growth factor receptor 2. Cancer Science. 105(8). 1040–1048. 21 indexed citations

15.

Sekino, Masaki, et al.. (2006). Intensity and localization of eddy currents in transcranial magnetic stimulation to the cerebellum. 546–546. 1 indexed citations

16.

Miyamoto, Shingo, Michinari Hirata, Ayano Yamazaki, et al.. (2004). Heparin-Binding EGF-Like Growth Factor Is a Promising Target for Ovarian Cancer Therapy. Cancer Research. 64(16). 5720–5727. 155 indexed citations

17.

Takenobu, Hisanori, Ayano Yamazaki, Michinari Hirata, Toshiyuki Umata, & Eisuke Mekada. (2003). The Stress- and Inflammatory Cytokine-induced Ectodomain Shedding of Heparin-binding Epidermal Growth Factor-like Growth Factor Is Mediated by p38 MAPK, Distinct from the 12-O-Tetradecanoylphorbol-13-acetate- and Lysophosphatidic Acid-induced Signaling Cascades. Journal of Biological Chemistry. 278(19). 17255–17262. 66 indexed citations

18.

Hirata, Michinari, Toshiyuki Umata, Tsuyoshi Takahashi, et al.. (2001). Identification of Serum Factor Inducing Ectodomain Shedding of proHB-EGF and Studies of Noncleavable Mutants of proHB-EGF. Biochemical and Biophysical Research Communications. 283(4). 915–922. 41 indexed citations

19.

Umata, Toshiyuki, Michinari Hirata, Tsuyoshi Takahashi, et al.. (2001). A Dual Signaling Cascade That Regulates the Ectodomain Shedding of Heparin-binding Epidermal Growth Factor-like Growth Factor. Journal of Biological Chemistry. 276(32). 30475–30482. 88 indexed citations

20.

Yamagami, T, Haruo Sugiyama, Kazushi Inoue, et al.. (1996). Growth inhibition of human leukemic cells by WT1 (Wilms tumor gene) antisense oligodeoxynucleotides: implications for the involvement of WT1 in leukemogenesis. Blood. 87(7). 2878–2884. 214 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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