Hidetoshi Hayashi

6.2k total citations · 2 hit papers
131 papers, 5.2k citations indexed

About

Hidetoshi Hayashi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Hidetoshi Hayashi has authored 131 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 43 papers in Immunology and 29 papers in Oncology. Recurrent topics in Hidetoshi Hayashi's work include Immune Response and Inflammation (19 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and NF-κB Signaling Pathways (15 papers). Hidetoshi Hayashi is often cited by papers focused on Immune Response and Inflammation (19 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and NF-κB Signaling Pathways (15 papers). Hidetoshi Hayashi collaborates with scholars based in Japan, United States and China. Hidetoshi Hayashi's co-authors include Kikuo Onozaki, Nobumichi Ohoka, Takayuki Hattori, Jeffrey L. Wrana, Brian W. Grinnell, Jiexing Cai, James N. Topper, YongYao Xu, Michael A. Gimbrone and Dean Falb and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Hidetoshi Hayashi

127 papers receiving 5.1k 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.

The MAD-Related Protein Smad7 Associates with the TGFβ Receptor and Functions as an Antagonist of TGFβ Signaling

1997 1.2k citations Hidetoshi Hayashi et al. profile →
TRB3, a novel ER stress‐inducible gene, is induced via ATF4–CHOP pathway and is involved in cell death

2005 825 citations Nobumichi Ohoka, Takayuki Hattori et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hidetoshi Hayashi Japan	30	3.2k	970	805	750	600	131	5.2k
Limin Liu China	39	3.1k 1.0×	630 0.6×	556 0.7×	650 0.9×	408 0.7×	167	5.2k
Ching-Shih Chen United States	46	3.3k 1.0×	755 0.8×	533 0.7×	920 1.2×	345 0.6×	83	5.3k
Jongsun Park South Korea	35	4.0k 1.3×	445 0.5×	657 0.8×	591 0.8×	463 0.8×	126	5.7k
Danny N. Dhanasekaran United States	38	3.3k 1.0×	620 0.6×	609 0.8×	638 0.9×	540 0.9×	107	5.2k
Vivek M. Rangnekar United States	46	4.1k 1.3×	879 0.9×	657 0.8×	1.3k 1.7×	370 0.6×	119	6.0k
Martin O. Bergö Sweden	41	5.0k 1.6×	889 0.9×	611 0.8×	947 1.3×	403 0.7×	106	6.8k
W. Stratford May United States	38	4.5k 1.4×	774 0.8×	998 1.2×	1.4k 1.8×	346 0.6×	78	6.4k
Matteo Landriscina Italy	40	3.4k 1.1×	710 0.7×	424 0.5×	998 1.3×	409 0.7×	144	5.0k
Damu Tang Canada	43	3.8k 1.2×	753 0.8×	766 1.0×	1.5k 2.0×	492 0.8×	132	6.0k
Éva Szegezdi Ireland	31	3.1k 1.0×	2.0k 2.1×	986 1.2×	600 0.8×	1.4k 2.3×	80	5.7k

Countries citing papers authored by Hidetoshi Hayashi

Since Specialization

Citations

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

Fields of papers citing papers by Hidetoshi Hayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetoshi Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Hayashi. A scholar is included among the top collaborators of Hidetoshi Hayashi 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 Hidetoshi Hayashi. Hidetoshi Hayashi 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

Inoue, Yasumichi, Daisuke Morishita, Hiromasa Aoki, et al.. (2024). ID3 is a novel target gene of p53 and modulates lung cancer cell metastasis. Biochemical and Biophysical Research Communications. 708. 149789–149789. 1 indexed citations

Tanizaki, Junko, Koji Matsumoto, Toshiki Masuishi, et al.. (2024). Phase Ia/Ib trial on the safety and efficacy of mobocertinib in combination with T-DM1 for patients with HER2-mutant solid tumors (WJOG16022M).. Journal of Clinical Oncology. 42(16_suppl). 3025–3025. 2 indexed citations

Velasco, Marco A. De, et al.. (2024). A machine learning-based method for feature reduction of methylation data for the classification of cancer tissue origin. International Journal of Clinical Oncology. 29(12). 1795–1810.

Yamamura, Aya, Yoshiaki Suzuki, Yasumichi Inoue, et al.. (2024). Corosolic acid attenuates platelet-derived growth factor signaling in macrophages and smooth muscle cells of pulmonary arterial hypertension. European Journal of Pharmacology. 973. 176564–176564. 9 indexed citations

Aoki, Hiromasa, Rina Kato, Yasumichi Inoue, et al.. (2023). The Combination of ATM and Chk1 Inhibitors Induces Synthetic Lethality in Colorectal Cancer Cells. Cancers. 15(3). 735–735. 3 indexed citations

Kondo, T., Tomoaki Ishida, Ke Ye, et al.. (2022). Suppressive effects of processed aconite root on dexamethasone-induced muscle ring finger protein-1 expression and its active ingredients. Journal of Natural Medicines. 76(3). 594–604. 9 indexed citations

Kurata, Takayasu, Junji Tsurutani, Yasuhito Fujisaka, et al.. (2014). Inhibition of EGFR, HER2 and HER3 signaling with AZD8931 alone and in combination with paclitaxel: Phase I study in Japanese patients with advanced solid malignancies and advanced breast cancer. Investigational New Drugs. 32(5). 946–954. 9 indexed citations

Hotta, Katsuyuki, Katsuyuki Kiura, Nagio Takigawa, et al.. (2010). Desire for Information and Involvement in Treatment Decisions: Lung Cancer Patients' Preferences and Their Physicians' Perceptions: Results from Okayama Lung Cancer Study Group Trial 0705. Journal of Thoracic Oncology. 5(10). 1668–1672. 18 indexed citations

Ohoka, Nobumichi, Shogo Kato, Yu Takahashi, Hidetoshi Hayashi, & Ryuichiro Sato. (2009). The Orphan Nuclear Receptor RORα Restrains Adipocyte Differentiation through a Reduction of C/EBPβ Activity and Perilipin Gene Expression. Molecular Endocrinology. 23(6). 759–771. 45 indexed citations

10.

Itoh, Yuka, Hidetoshi Hayashi, Takemasa Takii, et al.. (2008). Cigarette Smoke Condensate Upregulates the Gene and Protein Expression of Proinflammatory Cytokines in Human Fibroblast-Like Synoviocyte Line. Journal of Interferon & Cytokine Research. 28(8). 509–522. 29 indexed citations

11.

Yoshioka, Hiroshige, Tadashi Ishida, Hidetoshi Hayashi, et al.. (2008). Two Cases of Small Bowel Metastases from Lung Cancer Diagnosed by Double-balloon Enteroscopy. Haigan. 48(2). 135–140. 4 indexed citations

12.

Chan, Mun Chun, Peter Nguyen, Brandi N. Davis‐Dusenbery, et al.. (2007). A Novel Regulatory Mechanism of the Bone Morphogenetic Protein (BMP) Signaling Pathway Involving the Carboxyl-Terminal Tail Domain of BMP Type II Receptor. Molecular and Cellular Biology. 27(16). 5776–5789. 108 indexed citations

13.

Itoh, Yuka, Hidetoshi Hayashi, Keiji Miyazawa, et al.. (2007). 17β-Estradiol Induces IL-1 α Gene Expression in Rheumatoid Fibroblast-Like Synovial Cells through Estrogen Receptor α (ERα) and Augmentation of Transcriptional Activity of Sp1 by Dissociating Histone Deacetylase 2 from ERα. The Journal of Immunology. 178(5). 3059–3066. 37 indexed citations

14.

Inoue, Yasumichi, Masatoshi Kitagawa, Kikuo Onozaki, & Hidetoshi Hayashi. (2004). Contribution of the Constitutive and Inducible Degradation of Smad3 by the Ubiquitin-Proteasome Pathway to Transforming Growth Factor- β Signaling. Journal of Interferon & Cytokine Research. 24(1). 43–54. 11 indexed citations

15.

Hattori, Takayuki, Saotomo Itoh, Hidetoshi Hayashi, et al.. (2001). CHOP, a Basic Leucine Zipper Transcriptional Factor, Contributes to the Antiproliferative Effect of IL-1 on A375 Human Melanoma Cells Through Augmenting Transcription of IL-6. Journal of Interferon & Cytokine Research. 21(5). 323–332. 12 indexed citations

16.

Matsumura, Takayuki, Atsushi Ito, Takemasa Takii, Hidetoshi Hayashi, & Kikuo Onozaki. (2000). Endotoxin and Cytokine Regulation of Toll-like Receptor (TLR) 2 and TLR4 Gene Expression in Murine Liver and Hepatocytes. Journal of Interferon & Cytokine Research. 20(10). 915–921. 151 indexed citations

17.

Itoh, Shousaku, Hidetoshi Hayashi, De Yang, Takemasa Takii, & Kikuo Onozaki. (1997). Acquired resistance to the anti-proliferative effect of interleukin-1 and interleukin-6 is a recessive phenotype in A375 human melanoma cells. Melanoma Research. 7(6). 455–462. 4 indexed citations

18.

Hayashi, Hidetoshi, Kunizo Arai, Osamu Sato, et al.. (1992). Three Types of Membranous ATPase on Rat Liver Lysosomes.. Chemical and Pharmaceutical Bulletin. 40(10). 2783–2786. 4 indexed citations

19.

Hayashi, Hidetoshi, et al.. (1991). Clinical Observations of 147 Patients with Laryngeal Cancer.. Practica Oto-Rhino-Laryngologica. 84(6). 793–801. 1 indexed citations

20.

Kudo, Ichiro, et al.. (1991). Guinea pig bone marrow cells treated with platelet‐activating factor generate factor(s) which affects their DNA synthesis and microbicidal activity. Lipids. 26(12Part1). 1065–1070. 3 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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