Hiroshi Miyanaka

900 total citations
21 papers, 769 citations indexed

About

Hiroshi Miyanaka is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Hiroshi Miyanaka has authored 21 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Hiroshi Miyanaka's work include Peptidase Inhibition and Analysis (4 papers), Galectins and Cancer Biology (4 papers) and Hormonal and reproductive studies (3 papers). Hiroshi Miyanaka is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Galectins and Cancer Biology (4 papers) and Hormonal and reproductive studies (3 papers). Hiroshi Miyanaka collaborates with scholars based in Japan. Hiroshi Miyanaka's co-authors include Nozomu Nishi, Takanori Nakamura, Hiroki Shoji, Aiko Itoh, Toshitaka Nakagawa, Masaki Ueno, Kunio Matsumoto, Fumio Wada, Toshikazu Nakamura and Masako Seki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Hiroshi Miyanaka

21 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Miyanaka Japan 13 343 221 118 92 82 21 769
Carole Fages Finland 7 503 1.5× 308 1.4× 149 1.3× 111 1.2× 70 0.9× 9 1.2k
Tillman Vollbrandt Germany 13 258 0.8× 252 1.1× 79 0.7× 314 3.4× 72 0.9× 18 878
Guoquan Gao China 17 474 1.4× 106 0.5× 83 0.7× 144 1.6× 36 0.4× 36 959
Tuantuan Zhao United States 16 353 1.0× 214 1.0× 47 0.4× 48 0.5× 39 0.5× 20 801
Marianna Santopaolo Italy 14 331 1.0× 350 1.6× 45 0.4× 128 1.4× 39 0.5× 17 945
Anett Illing Germany 14 263 0.8× 200 0.9× 97 0.8× 56 0.6× 41 0.5× 21 705
Yoichiro Kato Japan 17 341 1.0× 118 0.5× 57 0.5× 84 0.9× 44 0.5× 47 792
Barbara Celona United States 10 497 1.4× 316 1.4× 35 0.3× 81 0.9× 41 0.5× 13 976
Camilla Cerutti United Kingdom 9 287 0.8× 105 0.5× 36 0.3× 51 0.6× 47 0.6× 20 766
Lucia Longhitano Italy 18 390 1.1× 94 0.4× 34 0.3× 63 0.7× 68 0.8× 44 846

Countries citing papers authored by Hiroshi Miyanaka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Miyanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Miyanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Miyanaka. A scholar is included among the top collaborators of Hiroshi Miyanaka 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 Hiroshi Miyanaka. Hiroshi Miyanaka 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.
Ueno, Masaki, Yoichi Chiba, Koichí Matsumoto, Toshitaka Nakagawa, & Hiroshi Miyanaka. (2014). Clearance of Beta-Amyloid in the Brain. Current Medicinal Chemistry. 21(35). 4085–4090. 23 indexed citations
2.
Itoh, Aiko, et al.. (2013). Optimization of the inter-domain structure of galectin-9 for recombinant production. Glycobiology. 23(8). 920–925. 12 indexed citations
3.
Miyanaka, Hiroshi, Takanori Nakamura, & Nozomu Nishi. (2010). Tissue-Specific Expression of Fucosylated Glycosphingolipid Species in Rat Prostate. Bioscience Biotechnology and Biochemistry. 74(6). 1261–1266. 1 indexed citations
4.
Nishi, Nozomu, et al.. (2008). Transient up-regulation of a novel member of Spot 14 family in androgen-stimulated rat prostate. Biochimica et Biophysica Acta (BBA) - General Subjects. 1780(7-8). 1004–1009. 6 indexed citations
5.
Zhang, Guo‐Xing, Yukiko Nagai, Toshitaka Nakagawa, et al.. (2007). Involvement of endogenous nitric oxide in angiotensin II-induced activation of vascular mitogen-activated protein kinases. American Journal of Physiology-Heart and Circulatory Physiology. 293(4). H2403–H2408. 6 indexed citations
6.
Nishi, Nozomu, Aiko Itoh, Hiroki Shoji, Hiroshi Miyanaka, & Takanori Nakamura. (2006). Galectin-8 and galectin-9 are novel substrates for thrombin. Glycobiology. 16(11). 15C–20C. 54 indexed citations
7.
Kimura, Shoji, Guo‐Xing Zhang, Akira Nishiyama, et al.. (2005). D-allose, an all-cis aldo-hexose, suppresses development of salt-induced hypertension in Dahl rats. Journal of Hypertension. 23(10). 1887–1894. 55 indexed citations
8.
Ueno, Masaki, Haruhiko Sakamoto, Yingjun Liao, et al.. (2004). Blood-brain barrier disruption in the hypothalamus of young adult spontaneously hypertensive rats. Histochemistry and Cell Biology. 122(2). 131–7. 71 indexed citations
9.
Nishi, Nozomu, Hiroki Shoji, Masako Seki, et al.. (2003). Galectin-8 modulates neutrophil function via interaction with integrin  M. Glycobiology. 13(11). 755–763. 140 indexed citations
10.
Nishi, Nozomu, Hiroki Shoji, Hiroshi Miyanaka, & Takanori Nakamura. (2000). Androgen-Regulated Expression of a Novel Member of the Aldo-Keto Reductase Superfamily in Regrowing Rat Prostate*. Endocrinology. 141(9). 3194–3199. 23 indexed citations
11.
Fujisawa, Yoshihide, et al.. (1999). Role of nitric oxide in regulation of renal sympathetic nerve activity during hemorrhage in conscious rats. American Journal of Physiology-Heart and Circulatory Physiology. 277(1). H8–H14. 15 indexed citations
12.
Nishi, Nozomu, et al.. (1998). Collagen-binding growth factors: Production and characterization of functional fusion proteins having a collagen-binding domain. Proceedings of the National Academy of Sciences. 95(12). 7018–7023. 92 indexed citations
13.
Nishi, Nozomu, Masashi Inui, Yukiko Kishi, Hiroshi Miyanaka, & Fumio Wada. (1997). Isolation and Characterization of Invasive and Noninvasive Variants of a Rat Bladder Tumor Cell Line. Japanese Journal of Cancer Research. 88(9). 831–838. 4 indexed citations
14.
Nishi, Nozomu, Shoju Onishi, Susumu Itoh, et al.. (1997). A Novel Splicing Junction Mutation in the Gene for the Steroidogenic Acute Regulatory Protein Causes Congenital Lipoid Adrenal Hyperplasia1. The Journal of Clinical Endocrinology & Metabolism. 82(7). 2337–2342. 36 indexed citations
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17.
Inui, Masashi, Nozomu Nishi, Atsushi Yasumoto, et al.. (1996). Enhanced gene expression of transforming growth factor-? and c-met in rat urinary bladder cancer. Urological Research. 24(1). 55–60. 16 indexed citations
18.
Nishi, Nozomu, et al.. (1995). Western Blot Analysis of Epidermal Growth Factor Using Gelatin-Coated Polyvinylidene Difluoride Membranes. Analytical Biochemistry. 227(2). 401–402. 8 indexed citations
19.
Nishi, Nozomu, et al.. (1994). Identification of probasin-related antigen as cystathionine gamma-lyase by molecular cloning.. Journal of Biological Chemistry. 269(2). 1015–1019. 23 indexed citations
20.
Nishi, Nozomu, et al.. (1992). An anti-probasin monoclonal antibody recognizes a novel 40-kDa protein localized in rat liver and a specific region of kidney urinary tubule. Biochimica et Biophysica Acta (BBA) - General Subjects. 1117(1). 47–54. 7 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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