Hideaki Miyake

786 citations
13 papers · 666 indexed · h-index 10
Topics
Cancer, Hypoxia, and Metabolism (4 papers)Cancer, Lipids, and Metabolism (4 papers)Urinary and Genital Oncology Studies (3 papers)

In The Last Decade

Hideaki Miyake

13 papers receiving 657 citations

Peers

Hideaki Miyake
Comparison fields: 5 of 65
  • Molecular Biology 372
  • Oncology 316
  • Cancer Research 236
  • Pulmonary and Respiratory Medicine 201
  • Endocrinology, Diabetes and Metabolism 135
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Citations per field
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Citations per year

Countries citing papers authored by Hideaki Miyake

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Miyake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Miyake

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 36
2 7
3 14
4 19
5 66
6 43
7
Acquisition of chemoresistant phenotype by overexpression of the antiapoptotic gene testosterone-repressed prostate message-2 in prostate cancer xenograft models.
173
8 114
9
Castration-induced up-regulation of insulin-like growth factor binding protein-5 potentiates insulin-like growth factor-I activity and accelerates progression to androgen independence in prostate cancer models.
117
10 6
11
Castration-induced apoptosis of androgen-dependent shionogi carcinoma is associated with increased expression of genes encoding insulin-like growth factor-binding proteins.
48
12 19
13
[Radical prostatectomy for localized prostate cancer].
4

About Hideaki Miyake

Hideaki Miyake is a scholar working on Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 666 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Urinary and Genital Oncology Studies (3 papers). The work is most often cited by research in Cancer Research (236 citations), Oncology (316 citations) and Endocrinology, Diabetes and Metabolism (135 citations). Hideaki Miyake has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Martin Gleave, Paul S. Rennie, Michaël Pollak, Colleen C. Nelson, Isao Hara, T Nickerson, M.E. Gleave, Shoji Hara, Kim Chi and Sadao Kamidono. Their work appears in journals such as Endocrinology, International Journal of Cancer and Cancer Letters.

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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