Hiroshi Miyanaka

900 citations
21 papers · 769 indexed · h-index 13
Topics
Peptidase Inhibition and Analysis (4 papers)Galectins and Cancer Biology (4 papers)Hormonal and reproductive studies (3 papers)
Partner nations
Japan

In The Last Decade

Hiroshi Miyanaka

21 papers receiving 756 citations

Peers

Hiroshi Miyanaka
Comparison fields: 5 of 86
  • Molecular Biology 343
  • Immunology 221
  • Endocrinology, Diabetes and Metabolism 118
  • Physiology 92
  • Pulmonary and Respiratory Medicine 82
Replace Fiona Ruge with:
Fiona Ruge United Kingdom
Masanori Kashimata Japan
Jiyoon Ryu United States
Hidetoshi Takahashi Japan
Fengjin Guo China
Elisa Alchera Italy
Monique N. O’Leary United States
Joseph W. Yang United States
Alberto Zambrano Spain
Janet Beckmann Germany
Hiroshi Miyanaka relative to Fiona Ruge United Kingdom Fiona Ruge's profile →
Citations per field
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Fiona Ruge · 1×
Citations per year

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
#WorkIndexed citations
1 23
2 12
3 1
4 6
5 6
6 54
7 55
8 71
9 140
10 23
11 15
12 92
13 4
14 36
15 94
16 16
17 11
18 8
19 23
20 7

About Hiroshi Miyanaka

Hiroshi Miyanaka is a scholar working on Cell Biology, Endocrine and Autonomic Systems and Neurology, having authored 21 papers that have together received 769 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Galectins and Cancer Biology (4 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Immunology (221 citations), Neurology (81 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Hiroshi Miyanaka has collaborated with scholars based in Japan. Frequent co-authors include Nozomu Nishi, Takanori Nakamura, Hiroki Shoji, Aiko Itoh, Toshitaka Nakagawa, Masaki Ueno, Fumio Wada, Kunio Matsumoto, Masako Seki and Toshikazu Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

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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