Hiromi Hiyoshi

636 total citations
17 papers, 516 citations indexed

About

Hiromi Hiyoshi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hiromi Hiyoshi has authored 17 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hiromi Hiyoshi's work include Renin-Angiotensin System Studies (5 papers), Ubiquitin and proteasome pathways (4 papers) and Hormonal Regulation and Hypertension (4 papers). Hiromi Hiyoshi is often cited by papers focused on Renin-Angiotensin System Studies (5 papers), Ubiquitin and proteasome pathways (4 papers) and Hormonal Regulation and Hypertension (4 papers). Hiromi Hiyoshi collaborates with scholars based in Japan, Sweden and United States. Hiromi Hiyoshi's co-authors include Hiroshi Okamoto, Katsutoshi Yayama, Masaoki Takano, Junn Yanagisawa, Yuka Nakajima, N. Goto, Mai Tsuchiya, Satomi Kagota, Masaru Kunitomo and Ichiaki Ito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Scientific Reports.

In The Last Decade

Hiromi Hiyoshi

17 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiromi Hiyoshi Japan 13 285 193 136 67 57 17 516
Ronit Heinrich Israel 13 239 0.8× 122 0.6× 103 0.8× 32 0.5× 68 1.2× 25 500
Simon N.S. Louis Australia 10 285 1.0× 180 0.9× 75 0.6× 37 0.6× 37 0.6× 19 436
Petra Quass Germany 12 358 1.3× 182 0.9× 122 0.9× 93 1.4× 26 0.5× 18 575
Talat Afroze Canada 12 261 0.9× 102 0.5× 144 1.1× 71 1.1× 28 0.5× 20 512
Jean‐Hugues Parmentier United States 14 297 1.0× 129 0.7× 156 1.1× 215 3.2× 107 1.9× 21 759
Yasutaka Moriguchi Japan 8 442 1.6× 459 2.4× 181 1.3× 59 0.9× 65 1.1× 8 745
Edith Giasson Canada 9 396 1.4× 169 0.9× 46 0.3× 125 1.9× 67 1.2× 9 560
Hideaki Nakaya Japan 12 153 0.5× 141 0.7× 98 0.7× 73 1.1× 63 1.1× 18 440
Valérie Domergue France 14 379 1.3× 255 1.3× 55 0.4× 93 1.4× 72 1.3× 27 821
Gengshu Wu Canada 17 315 1.1× 201 1.0× 188 1.4× 92 1.4× 28 0.5× 22 671

Countries citing papers authored by Hiromi Hiyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Hiromi Hiyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromi Hiyoshi

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

All Works

17 of 17 papers shown
1.
Maekawa, Masashi, Hiromi Hiyoshi, Jun Nakayama, et al.. (2019). Cullin-3/KCTD10 complex is essential for K27-polyubiquitination of EIF3D in human hepatocellular carcinoma HepG2 cells. Biochemical and Biophysical Research Communications. 516(4). 1116–1122. 10 indexed citations
2.
Maekawa, Masashi, Tomohisa Sakaue, Hiromi Hiyoshi, et al.. (2017). Cullin-3 and its adaptor protein ANKFY1 determine the surface level of integrin β1 in endothelial cells. Biology Open. 6(11). 1707–1719. 24 indexed citations
3.
Kurozumi, Sasagu, Yuri Yamaguchi, Shinichi Hayashi, et al.. (2016). Prognostic value of the ubiquitin ligase carboxyl terminus of the Hsc70‐interacting protein in postmenopausal breast cancer. Cancer Medicine. 5(8). 1873–1882. 12 indexed citations
4.
Sakaue, Tomohisa, Hironao Nakayama, Masashi Maekawa, et al.. (2016). Neddylated Cullin 3 is required for vascular endothelial‐cadherin‐mediated endothelial barrier function. Cancer Science. 108(2). 208–215. 15 indexed citations
5.
Hiyoshi, Hiromi, N. Goto, Mai Tsuchiya, et al.. (2014). 2-(4-Hydroxy-3-methoxyphenyl)-benzothiazole suppresses tumor progression and metastatic potential of breast cancer cells by inducing ubiquitin ligase CHIP. Scientific Reports. 4(1). 7095–7095. 35 indexed citations
6.
Waku, Tsuyoshi, Song‐iee Han, Naoya Iwasaki, et al.. (2014). Hepatic rRNA Transcription Regulates High-Fat-Diet-Induced Obesity. Cell Reports. 7(3). 807–820. 28 indexed citations
7.
Goto, N., Hiromi Hiyoshi, Ichiaki Ito, et al.. (2014). Identification of a Novel Compound That Suppresses Breast Cancer Invasiveness by Inhibiting Transforming Growth Factor-β Signaling via Estrogen Receptor α. Journal of Cancer. 5(5). 336–343. 17 indexed citations
8.
Tsuchiya, Masato, Yuka Nakajima, Hiromi Hiyoshi, et al.. (2014). CHIP buffers heterogeneous Bcl-2 expression levels to prevent augmentation of anticancer drug-resistant cell population. Oncogene. 34(35). 4656–4663. 11 indexed citations
9.
Hiyoshi, Hiromi, Lova Segerström, Baldur Sveinbjørnsson, et al.. (2012). Quiescence and γH2AX in neuroblastoma are regulated by ouabain/Na,K-ATPase. British Journal of Cancer. 106(11). 1807–1815. 22 indexed citations
10.
Goto, N., Hiromi Hiyoshi, Ichiaki Ito, et al.. (2011). Estrogen and antiestrogens alter breast cancer invasiveness by modulating the transforming growth factor‐β signaling pathway. Cancer Science. 102(8). 1501–1508. 32 indexed citations
11.
Desfrère, Luc, Marie Karlsson, Hiromi Hiyoshi, et al.. (2009). Na,K-ATPase signal transduction triggers CREB activation and dendritic growth. Proceedings of the National Academy of Sciences. 106(7). 2212–2217. 57 indexed citations
12.
Yayama, Katsutoshi, et al.. (2006). The Lipopolysaccharide-Induced Up-Regulation of Bradykinin B2-Receptor in the Mouse Heart Is Mediated by Tumor Necrosis Factor-.ALPHA. and Angiotensin II. Biological and Pharmaceutical Bulletin. 29(6). 1143–1147. 5 indexed citations
13.
14.
Hiyoshi, Hiromi, Katsutoshi Yayama, Masaoki Takano, & Hiroshi Okamoto. (2005). Angiotensin Type 2 Receptor–Mediated Phosphorylation of eNOS in the Aortas of Mice With 2-Kidney, 1-Clip Hypertension. Hypertension. 45(5). 967–973. 64 indexed citations
15.
Yayama, Katsutoshi, Hiromi Hiyoshi, Masaoki Takano, et al.. (2004). Up-Regulation of Angiotensin II Type 2 Receptor in Rat Thoracic Aorta by Pressure-Overload. Journal of Pharmacology and Experimental Therapeutics. 308(2). 736–743. 56 indexed citations
16.
Hiyoshi, Hiromi, Katsutoshi Yayama, Masaoki Takano, & Hiroshi Okamoto. (2004). Stimulation of Cyclic GMP Production via AT 2 and B 2 Receptors in the Pressure-Overloaded Aorta After Banding. Hypertension. 43(6). 1258–1263. 42 indexed citations
17.
Yayama, Katsutoshi, Hiromi Hiyoshi, & Hiroshi Okamoto. (2001). Expressions of Bradykinin B2-Receptor, Kallikrein and Kininogen mRNAs in the Heart Are Altered in Pressure-Overload Cardiac Hypertrophy in Mice.. Biological and Pharmaceutical Bulletin. 24(1). 34–38. 10 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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