Michio Yoshimura

3.6k total citations · 1 hit paper
110 papers, 2.5k citations indexed

About

Michio Yoshimura is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Michio Yoshimura has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 34 papers in Oncology and 32 papers in Cancer Research. Recurrent topics in Michio Yoshimura's work include Advanced Radiotherapy Techniques (26 papers), Breast Cancer Treatment Studies (17 papers) and Head and Neck Cancer Studies (14 papers). Michio Yoshimura is often cited by papers focused on Advanced Radiotherapy Techniques (26 papers), Breast Cancer Treatment Studies (17 papers) and Head and Neck Cancer Studies (14 papers). Michio Yoshimura collaborates with scholars based in Japan, United Kingdom and China. Michio Yoshimura's co-authors include Masahiro Hiraoka, Hiroshi Harada, Satoshi Itasaka, Akiyo Morinibu, Kazumi Shinomiya, Ruth J. Muschel, W. Gillies McKenna, Kiichi Hirota, Guangfei Ou and Shinji Nishiwaki and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Michio Yoshimura

100 papers receiving 2.5k citations

Hit Papers

Correction: Corrigendum: Cancer cells that survive radiat... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michio Yoshimura Japan 21 905 643 480 343 264 110 2.5k
Naoki Hayashi Japan 27 418 0.5× 265 0.4× 459 1.0× 366 1.1× 116 0.4× 175 2.3k
Christian Braun Germany 28 1.6k 1.7× 742 1.2× 388 0.8× 496 1.4× 229 0.9× 95 3.5k
Toshiaki Kawai Japan 28 717 0.8× 267 0.4× 363 0.8× 738 2.2× 365 1.4× 167 2.6k
Xinjiang Wang China 32 1.2k 1.4× 356 0.6× 1.0k 2.1× 227 0.7× 211 0.8× 74 4.0k
Frank Berger Germany 26 921 1.0× 233 0.4× 711 1.5× 245 0.7× 250 0.9× 134 2.6k
Youngho Seo United States 36 1.3k 1.4× 752 1.2× 573 1.2× 567 1.7× 826 3.1× 254 5.6k
Rick Cote United States 34 2.6k 2.9× 645 1.0× 1.2k 2.5× 663 1.9× 545 2.1× 117 7.5k
Toru Shibata Japan 29 631 0.7× 566 0.9× 285 0.6× 403 1.2× 259 1.0× 126 2.6k
Michael Oertel Germany 27 724 0.8× 171 0.3× 304 0.6× 202 0.6× 123 0.5× 135 2.5k

Countries citing papers authored by Michio Yoshimura

Since Specialization
Citations

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

Fields of papers citing papers by Michio Yoshimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michio Yoshimura

This figure shows the co-authorship network connecting the top 25 collaborators of Michio Yoshimura. A scholar is included among the top collaborators of Michio Yoshimura 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 Michio Yoshimura. Michio Yoshimura 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.
Anazawa, Takayuki, Kazuyuki Nagai, Yosuke Kasai, et al.. (2025). Neoadjuvant Chemoradiotherapy Using Moderately Hypofractionated Intensity-Modulated Radiotherapy Versus Upfront Surgery for Resectable Pancreatic Cancer: A Retrospective Cohort Study. Annals of Surgical Oncology. 32(5). 3603–3613. 1 indexed citations
2.
Anazawa, Takayuki, Kazuyuki Nagai, Asahi Sato, et al.. (2025). Proposing oligo-recurrence criteria in pancreatic ductal adenocarcinoma: A stratified analysis of locoregional treatment benefits. Pancreatology. 25(6). 889–897.
6.
Yamamoto, Yutaka, Chikako Yamauchi, Tatsuya Toyama, et al.. (2024). The Japanese Breast Cancer Society Clinical Practice Guidelines for Breast Cancer, 2022 Edition: changes from the 2018 edition and general statements on breast cancer treatment. Breast Cancer. 31(3). 340–346. 2 indexed citations
9.
Kondo, Tomohiro, Masashi Kanai, Junichi Matsubara, et al.. (2023). Association between homologous recombination gene variants and efficacy of oxaliplatin-based chemotherapy in advanced pancreatic cancer: prospective multicenter observational study. Medical Oncology. 40(5). 144–144. 1 indexed citations
10.
Sasaki, Makoto, Mitsuhiro Nakamura, Ryo Ashida, et al.. (2023). Assessing target localization accuracy across different soft-tissue matching protocols using end-exhalation breath-hold cone-beam computed tomography in patients with pancreatic cancer. Journal of Radiation Research. 64(4). 711–719. 1 indexed citations
11.
Watanabe, Tsubasa, et al.. (2022). The mutual relationship between the host immune system and radiotherapy: stimulating the action of immune cells by irradiation. International Journal of Clinical Oncology. 28(2). 201–208. 6 indexed citations
12.
Kikuchi, Masahiro, Takayuki Nakagawa, Masahiro Tanji, et al.. (2022). Long-term survival outcomes and recurrence patterns of olfactory neuroblastoma: A 13-year experience at a single institution. Auris Nasus Larynx. 50(4). 550–557.
13.
Sasaki, Makoto, Mitsuhiro Nakamura, Tomohiro Ono, et al.. (2020). Positional repeatability and variation in internal and external markers during volumetric-modulated arc therapy under end-exhalation breath-hold conditions for pancreatic cancer patients. Journal of Radiation Research. 61(5). 755–765. 7 indexed citations
14.
Yamauchi, Chikako, Kenji Sekiguchi, Akihito Nishioka, et al.. (2016). The Japanese Breast Cancer Society Clinical Practice Guideline for radiation treatment of breast cancer, 2015 edition. Breast Cancer. 23(3). 378–390. 10 indexed citations
15.
Hirata, Kimiko, Mitsuhiro Nakamura, Michio Yoshimura, et al.. (2015). Dosimetric evaluation of the Acuros XB algorithm for a 4 MV photon beam in head and neck intensity‐modulated radiation therapy. Journal of Applied Clinical Medical Physics. 16(4). 52–64. 15 indexed citations
16.
Furukawa, Akira, Yen‐Wei Chen, Shuzo Kanasaki, et al.. (2012). MR imaging in gastrointestinal tracts: Static and dynamic assessment. 444–448. 4 indexed citations
17.
Higgins, Geoff S., Remko Prevo, Yin-Fai Lee, et al.. (2010). A Small Interfering RNA Screen of Genes Involved in DNA Repair Identifies Tumor-Specific Radiosensitization by POLQ Knockdown. Cancer Research. 70(7). 2984–2993. 100 indexed citations
18.
Koizumi, Koji, et al.. (2003). Comparison of Apparent Diffusion Coefficient (ADC) between Different MRI Scanners : Report on the ECR2003(European Congress of Radiology). Japanese Journal of Radiological Technology. 59(7). 825–826. 2 indexed citations
19.
Takeuchi, Minoru, Shuntaro Nagai, Akihiro Nakajima, et al.. (2001). Inhibition of Lung Natural Killer Cell Activity by Smoking: The Role of Alveolar Macrophages. Respiration. 68(3). 262–267. 17 indexed citations
20.
Yoshimura, Michio, et al.. (1987). Operations scheduling for work transportation by industrial robots in automated manufacturing systems. Elsevier eBooks. 131–139. 1 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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