Yasuyoshi Miyata

4.3k citations
174 papers · 3.3k indexed · h-index 33

Yasuyoshi Miyata

171 papers receiving 3.2k citations

Peers

Yasuyoshi Miyata
Comparison fields: 5 of 122
  • Cancer Research 608
  • Urology 213
  • Oncology 641
  • Molecular Biology 1.5k
  • Pulmonary and Respiratory Medicine 570
Replace Sheng Tai with:
Sheng Tai China
Yu‐Jia Chang Taiwan
Horng‐Heng Juang Taiwan
Natasha Kyprianou United States
Nicoletta Ferrari Italy
Zakaria Y. Abd Elmageed United States
Alexander T.H. Wu Taiwan
Bal L. Lokeshwar United States
Nelson H. Tsuno Japan
Alexander Kirschenbaum United States
Yasuyoshi Miyata relative to Sheng Tai China Sheng Tai's profile →
Citations per field
00.5×1.5×
Sheng Tai · 1×
Citations per year

Countries citing papers authored by Yasuyoshi Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Yasuyoshi Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yasuyoshi Miyata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yasuyoshi Miyata Line = papers co-authored together Yasuyoshi Miyata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20221
3 20215
4 20211
5 201992
6 20195
7 201914
8 201814
9 201735
10 20172
11 20177
12 201412
13 201321
14 20089
15 20076
16 200733
17
Calreticulin down-regulates E-cadherin gene expression via Slug in a Ca2+-dependent manner
20061
18 20069
19 200449
20 2003144

About Yasuyoshi Miyata

Yasuyoshi Miyata is a scholar working on Urology, Applied Microbiology and Biotechnology, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 174 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (26 papers), Renal cell carcinoma treatment (23 papers), Angiogenesis and VEGF in Cancer (23 papers), Urinary Bladder and Prostate Research (14 papers), Prostate Cancer Treatment and Research (14 papers), Urinary and Genital Oncology Studies (13 papers), Protease and Inhibitor Mechanisms (12 papers) and Inflammatory mediators and NSAID effects (12 papers). The work is most often cited by research in Cancer Research (608 citations), Urology (213 citations), Oncology (641 citations), Molecular Biology (1.5k citations) and Pulmonary and Respiratory Medicine (570 citations). Yasuyoshi Miyata has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroshi Kanetake, Shigeru Kanda, Hideki Sakai, Kojiro Ohba, Tomohiro Matsuo, Hideki Sakai, Tomayoshi Hayashi, Kensuke Mitsunari, Yasushi Mochizuki and Koichiro Nomata. Their work appears in journals such as Anticancer Research, Urology, The Journal of Urology, International Journal of Urology and The Prostate.

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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