Etsuo Miyaoka

4.2k total citations
84 papers, 3.0k citations indexed

About

Etsuo Miyaoka is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Statistics and Probability. According to data from OpenAlex, Etsuo Miyaoka has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pulmonary and Respiratory Medicine, 20 papers in Oncology and 17 papers in Statistics and Probability. Recurrent topics in Etsuo Miyaoka's work include Lung Cancer Treatments and Mutations (47 papers), Lung Cancer Diagnosis and Treatment (46 papers) and Lung Cancer Research Studies (13 papers). Etsuo Miyaoka is often cited by papers focused on Lung Cancer Treatments and Mutations (47 papers), Lung Cancer Diagnosis and Treatment (46 papers) and Lung Cancer Research Studies (13 papers). Etsuo Miyaoka collaborates with scholars based in Japan, United States and Canada. Etsuo Miyaoka's co-authors include Hisao Asamura, Kenji Eguchi, Ryosuke Tsuchiya, Tomoyuki Goya, Masaki Mori, Meinoshin Okumura, Yasunori Sohara, Yoichi Nakanishi, Kohei Yokoi and Yoshitaka Fujii and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and International Journal of Cancer.

In The Last Decade

Etsuo Miyaoka

75 papers receiving 2.9k citations

Peers

Etsuo Miyaoka
Etsuo Miyaoka
Citations per year, relative to Etsuo Miyaoka Etsuo Miyaoka (= 1×) peers Gwénaël Le Teuff

Countries citing papers authored by Etsuo Miyaoka

Since Specialization
Citations

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

Fields of papers citing papers by Etsuo Miyaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etsuo Miyaoka

This figure shows the co-authorship network connecting the top 25 collaborators of Etsuo Miyaoka. A scholar is included among the top collaborators of Etsuo Miyaoka 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 Etsuo Miyaoka. Etsuo Miyaoka 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
1.
Adachi, Hiroyuki, Aya Saito, Yasushi Shintani, et al.. (2023). Is adjuvant chemotherapy for completely resected p-stage IA (>2 cm) and stage IB non-small-cell lung cancer beneficial for elderly patients? A large, retrospective cohort study based on real-world data from Japan. Japanese Journal of Clinical Oncology. 53(12). 1191–1200. 1 indexed citations
2.
Soh, Junichi, Shinichi Toyooka, Yasushi Shintani, et al.. (2022). Limited resection for stage IA radiologically invasive lung cancer: a real-world nationwide database study. European Journal of Cardio-Thoracic Surgery. 62(1). 22 indexed citations
3.
Yamauchi, Yoshikane, Masafumi Kawamura, Jiro Okami, et al.. (2022). Hazard Function Analysis of Recurrence in Patients with Curatively Resected Lung Cancer: Results from the Japanese Lung Cancer Registry in 2010. Cancers. 14(20). 5119–5119.
4.
Hishida, Tomoyuki, Etsuo Miyaoka, K. Yokoi, et al.. (2018). MA23.11 Lobe-Specific Nodal Dissection for Clinical Stage I and II Non-Small Cell Lung Cancer: Japanese Multi-Institutional Retrospective Study. Journal of Thoracic Oncology. 13(10). S441–S441. 1 indexed citations
5.
Kawasaki, Yohei, et al.. (2015). Comparison of Splitting Methods on Survival Tree. The International Journal of Biostatistics. 11(1). 175–188. 11 indexed citations
6.
Kawasaki, Yohei & Etsuo Miyaoka. (2014). Comparison of Three Calculation Methods for a Bayesian Inference of Two Poisson Parameters. Journal of Modern Applied Statistical Methods. 13(1). 397–409. 1 indexed citations
7.
Takei, Hidefumi, Haruhiko Kondo, Etsuo Miyaoka, et al.. (2014). Surgery for Small Cell Lung Cancer: A Retrospective Analysis of 243 Patients from Japanese Lung Cancer Registry in 2004. Journal of Thoracic Oncology. 9(8). 1140–1145. 64 indexed citations
8.
Kawasaki, Yohei, et al.. (2013). Comparison of Three Calculation Methods for a Bayesian Inference of P(π1 > π2). Journal of Modern Applied Statistical Methods. 12(2). 256–268. 5 indexed citations
10.
Watanabe, Shun-ichi, Hisao Asamura, Etsuo Miyaoka, et al.. (2013). Results of T4 Surgical Cases in the Japanese Lung Cancer Registry Study: Should Mediastinal Fat Tissue Invasion Really be Included in the T4 Category?. Journal of Thoracic Oncology. 8(6). 759–765. 17 indexed citations
11.
Sawabata, Noriyoshi, Yoshitaka Fujii, Hisao Asamura, et al.. (2011). Analysis of Lung Cancer Registry Cases Resected in 2004 Japanese Joint Committee for Lung Cancer Registration. The Journal of the Japanese Association for Chest Surgery. 25(1). 107–123. 5 indexed citations
12.
Sawabata, Noriyoshi, Etsuo Miyaoka, Hisao Asamura, et al.. (2011). Japanese Lung Cancer Registry Study of 11,663 Surgical Cases in 2004: Demographic and Prognosis Changes Over Decade. Journal of Thoracic Oncology. 6(7). 1229–1235. 236 indexed citations
13.
Sawabata, Noriyoshi, Hisao Asamura, Tomoyuki Goya, et al.. (2010). A Japanese Lung Cancer Registry Study at 2002. The Journal of the Japanese Association for Chest Surgery. 24(1). 110–124. 1 indexed citations
14.
Sawabata, Noriyoshi, Yoshitaka Fujii, Hisao Asamura, et al.. (2010). Lung Cancer in Japan: Analysis of Lung Cancer Registry Cases Resected in 2004. Haigan. 50(7). 875–888. 10 indexed citations
15.
Sawabata, Noriyoshi, Hisao Asamura, Tomoyuki Goya, et al.. (2010). Japanese Lung Cancer Registry Study: First Prospective Enrollment of a Large Number of Surgical and Nonsurgical Cases in 2002. Journal of Thoracic Oncology. 5(9). 1369–1375. 100 indexed citations
16.
Sakurai, Hiroyuki, Hisao Asamura, Tomoyuki Goya, et al.. (2010). Survival Differences by Gender for Resected Non-small Cell Lung Cancer: A Retrospective Analysis of 12,509 Cases in a Japanese Lung Cancer Registry Study. Journal of Thoracic Oncology. 5(10). 1594–1601. 84 indexed citations
17.
Okami, Jiro, Masahiko Higashiyama, Hisao Asamura, et al.. (2009). Pulmonary Resection in Patients Aged 80 Years or Over with Clinical Stage I Non-small Cell Lung Cancer: Prognostic Factors for Overall Survival and Risk Factors for Postoperative Complications. Journal of Thoracic Oncology. 4(10). 1247–1253. 141 indexed citations
18.
Koike, Teruaki, Yasushi Yamato, Hisao Asamura, et al.. (2009). Improvements in Surgical Results for Lung Cancer from 1989 to 1999 in Japan. Journal of Thoracic Oncology. 4(11). 1364–1369. 25 indexed citations
19.
Miyaoka, Etsuo, et al.. (2008). Application of Dynamic Poisson Models to Japanese Cancer Mortality Data. Journal of Modern Applied Statistical Methods. 7(2). 577–587. 1 indexed citations
20.
Koike, Teruaki, Ryosuke Tsuchiya, Tomoyuki Goya, Yasunori Sohara, & Etsuo Miyaoka. (2007). Prognostic Factors in 3315 Completely Resected Cases of Clinical Stage I Non-small Cell Lung Cancer in Japan. Journal of Thoracic Oncology. 2(5). 408–413. 39 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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