Keiju Aokage

9.7k total citations · 3 hit papers
186 papers, 4.9k citations indexed

About

Keiju Aokage is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Keiju Aokage has authored 186 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Pulmonary and Respiratory Medicine, 73 papers in Oncology and 35 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Keiju Aokage's work include Lung Cancer Diagnosis and Treatment (116 papers), Lung Cancer Treatments and Mutations (93 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). Keiju Aokage is often cited by papers focused on Lung Cancer Diagnosis and Treatment (116 papers), Lung Cancer Treatments and Mutations (93 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). Keiju Aokage collaborates with scholars based in Japan, United States and United Kingdom. Keiju Aokage's co-authors include Masahiro Tsuboi, Genichiro Ishii, Tomoyuki Hishida, Junji Yoshida, Kanji Nagai, Kenji Suzuki, Hisashi Saji, Hisao Asamura, Shun‐ichi Watanabe and Morihito Okada and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Keiju Aokage

168 papers receiving 4.8k citations

Hit Papers

Segmentectomy versus lobe... 2019 2026 2021 2023 2022 2019 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiju Aokage Japan 36 3.5k 1.7k 1.1k 656 498 186 4.9k
Haruhiko Nakayama Japan 39 4.0k 1.1× 1.3k 0.8× 1.2k 1.1× 682 1.0× 308 0.6× 190 5.3k
Tomoyuki Hishida Japan 40 2.6k 0.7× 1.7k 1.0× 666 0.6× 584 0.9× 331 0.7× 150 4.1k
Kyuichi Kadota Japan 40 3.2k 0.9× 1.9k 1.1× 773 0.7× 647 1.0× 387 0.8× 132 5.1k
Dorothy J. Giroux United States 23 5.8k 1.6× 2.2k 1.3× 1.4k 1.3× 883 1.3× 136 0.3× 39 7.3k
Makoto Sonobe Japan 36 2.8k 0.8× 1.5k 0.9× 460 0.4× 779 1.2× 244 0.5× 224 4.8k
Morihito Okada Japan 40 6.2k 1.8× 1.5k 0.9× 1.8k 1.6× 1.2k 1.9× 113 0.2× 280 7.1k
Kazuya Takamochi Japan 35 3.2k 0.9× 1.0k 0.6× 996 0.9× 552 0.8× 87 0.2× 227 3.9k
Masashi Wakabayashi Japan 23 1.9k 0.5× 1.4k 0.8× 515 0.5× 808 1.2× 207 0.4× 136 3.2k
Noriaki Tsubota Japan 39 4.6k 1.3× 1.7k 1.0× 844 0.8× 964 1.5× 86 0.2× 143 5.8k
Jun‐ichi Nitadori Japan 27 1.8k 0.5× 980 0.6× 478 0.4× 307 0.5× 307 0.6× 61 2.5k

Countries citing papers authored by Keiju Aokage

Since Specialization
Citations

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

Fields of papers citing papers by Keiju Aokage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiju Aokage

This figure shows the co-authorship network connecting the top 25 collaborators of Keiju Aokage. A scholar is included among the top collaborators of Keiju Aokage 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 Keiju Aokage. Keiju Aokage 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.
Sasaki, Tomoaki, Hirofumi Kuno, Keiichi Nomura, et al.. (2025). CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment. Japanese Journal of Radiology. 43(7). 1132–1144.
2.
Tsuboi, Masahiro, Li Zhou, Cheng He, et al.. (2024). Potential of circulating micrornas as biomarkers in perioperative management of lung cancer. 5. 100258–100258. 1 indexed citations
3.
Nomura, Kotaro, Keiju Aokage, Tokiko Nakai, et al.. (2024). EGFR mutation impacts recurrence in high-risk early-stage lung adenocarcinoma in the IASLC grading system. International Journal of Clinical Oncology. 29(3). 248–257. 2 indexed citations
4.
Aokage, Keiju, Shohei Koyama, Shogo Kumagai, et al.. (2024). Efficacy, Safety, and Influence on the Tumor Microenvironment of Neoadjuvant Pembrolizumab plus Ramucirumab for PD-L1–Positive NSCLC: A Phase II Trial (EAST ENERGY). Clinical Cancer Research. 30(24). 5584–5592. 4 indexed citations
5.
Wakabayashi, Masashi, Makoto Tada, Tomohiro Miyoshi, et al.. (2024). Effect of Resected Lung Volume on Pulmonary Function and Residual Lung Volume in Patients Undergoing Segmentectomy: A Retrospective Study. Annals of Surgical Oncology. 31(10). 6645–6651. 1 indexed citations
6.
7.
Nagasaki, Yusuke, Tetsuro Taki, Kotaro Nomura, et al.. (2024). Spatial intratumor heterogeneity of programmed death-ligand 1 expression predicts poor prognosis in resected non–small cell lung cancer. JNCI Journal of the National Cancer Institute. 116(7). 1158–1168.
8.
Tane, Kenta, Satoshi Shiono, Masashi Wakabayashi, et al.. (2024). A randomized phase III trial of postoperative surveillance for pathological stage II and IIIA non-small cell lung cancer (JCOG2012, PHOENIX). Japanese Journal of Clinical Oncology. 54(8). 926–929. 1 indexed citations
10.
Miyoshi, Tomohiro, et al.. (2023). Predictors of residual simultaneous multiple ground-glass nodule progression after dominant lesion resection. General Thoracic and Cardiovascular Surgery. 72(3). 183–191. 1 indexed citations
11.
Yoshino, Ichiro, Yasumitsu Moriya, Kenji Suzuki, et al.. (2023). Long-term outcome of patients with peripheral ground-glass opacity–dominant lung cancer after sublobar resections. Journal of Thoracic and Cardiovascular Surgery. 166(4). 1222–1231.e1. 12 indexed citations
12.
Takamori, Shinkichi, Yasushi Yatabe, Atsushi Osoegawa, et al.. (2023). Rare but clinically important salivary gland-type tumor of the lung: A review. Japanese Journal of Clinical Oncology. 54(2). 121–128. 2 indexed citations
13.
Kitagawa, Shingo, Yoshitaka Zenke, Tetsuro Taki, et al.. (2023). Prognostic value of predominant subtype in pathological stage II–III lung adenocarcinoma with epidermal growth factor receptor mutation. Lung Cancer. 188. 107453–107453. 3 indexed citations
14.
Itahashi, Kota, Takuma Irie, Junichiro Yuda, et al.. (2022). BATF epigenetically and transcriptionally controls the activation program of regulatory T cells in human tumors. Science Immunology. 7(76). eabk0957–eabk0957. 60 indexed citations
16.
Sakai, Takashi, Keiju Aokage, Shinya Katsumata, et al.. (2021). Continuation of aspirin perioperatively for lung resection: a propensity matched analysis. Surgery Today. 51(6). 1054–1060.
17.
Miyoshi, Tomohiro, Keiju Aokage, Jun Suzuki, et al.. (2021). Prognostic impact of the tumor immune microenvironment in pulmonary pleomorphic carcinoma. Lung Cancer. 153. 56–65. 10 indexed citations
18.
Sakai, Takashi, Keiju Aokage, Shinya Neri, et al.. (2018). Link between tumor-promoting fibrous microenvironment and an immunosuppressive microenvironment in stage I lung adenocarcinoma. Lung Cancer. 126. 64–71. 46 indexed citations
19.
Miyoshi, Tomohiro, Shigeki Umemura, Yuki Matsumura, et al.. (2016). Genomic Profiling of Large-Cell Neuroendocrine Carcinoma of the Lung. Clinical Cancer Research. 23(3). 757–765. 139 indexed citations
20.
Yoshida, Junji, Genichiro Ishii, Tomoyuki Hishida, et al.. (2015). Limited resection trial for pulmonary ground-glass opacity nodules: case selection based on high-resolution computed tomography--interim results. Japanese Journal of Clinical Oncology. 45(7). 677–681. 25 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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