Makito Miyake

514 total papers · 5.7k total citations
299 papers, 3.8k citations indexed

About

Makito Miyake is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Makito Miyake has authored 299 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Surgery, 124 papers in Pulmonary and Respiratory Medicine and 61 papers in Molecular Biology. Recurrent topics in Makito Miyake's work include Bladder and Urothelial Cancer Treatments (107 papers), Urinary and Genital Oncology Studies (65 papers) and Prostate Cancer Diagnosis and Treatment (52 papers). Makito Miyake is often cited by papers focused on Bladder and Urothelial Cancer Treatments (107 papers), Urinary and Genital Oncology Studies (65 papers) and Prostate Cancer Diagnosis and Treatment (52 papers). Makito Miyake collaborates with scholars based in Japan, United States and China. Makito Miyake's co-authors include Kiyohide Fujimoto, Charles J. Rosser, Nobumichi Tanaka, Yasushi Nakai, Steve Goodison, Satoshi Anai, Shunta Hori, Yosuke Morizawa, Kazumasa Torimoto and Yoshihiro Tatsumi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Makito Miyake

277 papers receiving 3.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Makito Miyake 1.5k 1.1k 1.1k 975 535 299 3.8k
Jörg Hennenlotter 1.1k 0.8× 1.8k 1.7× 1.3k 1.2× 1.0k 1.0× 824 1.5× 188 4.3k
Haruhito Azuma 2.0k 1.3× 1.8k 1.7× 984 0.9× 668 0.7× 601 1.1× 259 5.6k
Shiro Baba 1.8k 1.2× 976 0.9× 1.8k 1.7× 658 0.7× 396 0.7× 285 4.7k
Takahiro Kimura 919 0.6× 1.3k 1.2× 1.6k 1.5× 771 0.8× 805 1.5× 324 3.9k
Ferdinand Hofstädter 1.8k 1.2× 1.6k 1.4× 1.4k 1.2× 1.2k 1.3× 783 1.5× 223 5.6k
Liqun Zhou 1.7k 1.2× 1.8k 1.6× 1.6k 1.5× 1.1k 1.1× 1.1k 2.0× 361 5.0k
Kazutoshi Fujita 1.2k 0.8× 2.1k 1.9× 1.5k 1.4× 877 0.9× 1.0k 1.9× 261 5.0k
Yoshihiko Hirao 1.4k 0.9× 1.5k 1.3× 1.6k 1.5× 703 0.7× 582 1.1× 318 4.9k
Keiichi Ito 927 0.6× 1.3k 1.2× 934 0.9× 569 0.6× 511 1.0× 348 4.3k
Nobumichi Tanaka 884 0.6× 647 0.6× 1.3k 1.2× 638 0.7× 313 0.6× 245 2.9k

Countries citing papers authored by Makito Miyake

Since Specialization
Citations

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

Fields of papers citing papers by Makito Miyake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makito Miyake

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

All Works

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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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2026