Masayoshi Miyoshi

2.4k total citations · 2 hit papers
10 papers, 1.9k citations indexed

About

Masayoshi Miyoshi is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masayoshi Miyoshi has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masayoshi Miyoshi's work include Colorectal Cancer Surgical Treatments (5 papers), Colorectal and Anal Carcinomas (4 papers) and Genetic Syndromes and Imprinting (2 papers). Masayoshi Miyoshi is often cited by papers focused on Colorectal Cancer Surgical Treatments (5 papers), Colorectal and Anal Carcinomas (4 papers) and Genetic Syndromes and Imprinting (2 papers). Masayoshi Miyoshi collaborates with scholars based in Japan, United States and United Kingdom. Masayoshi Miyoshi's co-authors include Yasushi Ogawa, Kevin P. Rosenblatt, Animesh Nandi, Makoto Kuro‐o, Masaya Yamamoto, Hiroshi Kurosu, Orson W. Moe, Michel Baum, Susan C. Schiavi and Ming‐Chang Hu and has published in prestigious journals such as Journal of Biological Chemistry, Annals of Surgery and American Journal of Clinical Pathology.

In The Last Decade

Masayoshi Miyoshi

9 papers receiving 1.9k citations

Hit Papers

Regulation of Fibroblast Growth Factor-23 Signaling by Kl... 2005 2026 2012 2019 2006 2005 250 500 750 1000

Peers

Masayoshi Miyoshi
Ming‐Chang Hu United States
Renata C. Pereira United States
Despina Sitara United States
Emily Farrow United States
Ewa Lewin Denmark
Masayoshi Miyoshi
Citations per year, relative to Masayoshi Miyoshi Masayoshi Miyoshi (= 1×) peers Naoshi Fukushima

Countries citing papers authored by Masayoshi Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Masayoshi Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Miyoshi

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

All Works

10 of 10 papers shown
1.
Wolfgruber, Thomas, Brenda Y. Hernandez, Todd B. Seto, et al.. (2025). Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis. The Lancet Regional Health - Americas. 46. 101096–101096. 1 indexed citations
2.
Ueno, Hideki, Hidetaka Mochizuki, Yojiro Hashiguchi, et al.. (2007). Extramural Cancer Deposits Without Nodal Structure in Colorectal Cancer. American Journal of Clinical Pathology. 127(2). 287–294. 87 indexed citations
3.
Ueno, Hideki, Hidetaka Mochizuki, Yojiro Hashiguchi, et al.. (2007). Extramural Cancer Deposits Without Nodal Structure in Colorectal Cancer: Optimal Categorization for Prognostic Staging. American Journal of Clinical Pathology. 127(2). 287–294. 5 indexed citations
4.
Ueno, Hideki, Hidetaka Mochizuki, Yojiro Hashiguchi, et al.. (2006). Potential Prognostic Benefit of Lateral Pelvic Node Dissection for Rectal Cancer Located Below the Peritoneal Reflection. Annals of Surgery. 245(1). 80–87. 112 indexed citations
5.
Miyoshi, Masayoshi, Hideki Ueno, Yojiro Hashiguchi, Hidetaka Mochizuki, & Ian Talbot. (2006). Extent of Mesorectal Tumor Invasion as a Prognostic Factor After Curative Surgery for T3 Rectal Cancer Patients. Annals of Surgery. 243(4). 492–498. 54 indexed citations
6.
Kurosu, Hiroshi, Yasushi Ogawa, Masayoshi Miyoshi, et al.. (2006). Regulation of Fibroblast Growth Factor-23 Signaling by Klotho. Journal of Biological Chemistry. 281(10). 6120–6123. 1073 indexed citations breakdown →
7.
Miyoshi, Masayoshi & Hideki Ueno. (2006). Extent of Mesorectal Tumor Invasion as a Prognostic Factor After Curative Surgery for T3 Rectal Cancer Patients. Annals of Surgery. 244(5). 836–836. 3 indexed citations
8.
Yamamoto, Masaya, Jeremy D. Clark, Johanne V. Pastor, et al.. (2005). Regulation of Oxidative Stress by the Anti-aging Hormone Klotho*♦. Journal of Biological Chemistry. 280(45). 38029–38034. 598 indexed citations breakdown →
9.
Kitagawa, Yasuhide, et al.. (1989). [Multiple primary neoplasms in patients with multiple myeloma and primary macroglobulinemia].. PubMed. 35(14). 1661–4.
10.
Maekawa, Taira, et al.. (1987). [US guided intratumoral ethanol injection therapy in small liver cancer--clinical evaluation of 20 cases].. PubMed. 22(4). 818–26. 4 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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