Sadanori Takeo

1.9k total citations
93 papers, 1.4k citations indexed

About

Sadanori Takeo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Sadanori Takeo has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Pulmonary and Respiratory Medicine, 34 papers in Oncology and 29 papers in Surgery. Recurrent topics in Sadanori Takeo's work include Lung Cancer Diagnosis and Treatment (31 papers), Lung Cancer Treatments and Mutations (26 papers) and Lung Cancer Research Studies (17 papers). Sadanori Takeo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (31 papers), Lung Cancer Treatments and Mutations (26 papers) and Lung Cancer Research Studies (17 papers). Sadanori Takeo collaborates with scholars based in Japan, United States and Australia. Sadanori Takeo's co-authors include Koji Yamazaki, Fumihiro Shoji, Gouji Toyokawa, Yuka Kozuma, Seiya Momosaki, Yukito Ichinose, Tomoyoshi Takenaka, Masakazu Katsura, Ryuichi Suemitsu and Fahdi Kanavati and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Sadanori Takeo

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sadanori Takeo Japan 19 722 488 270 244 207 93 1.4k
Ji Hyun Chang South Korea 19 298 0.4× 361 0.7× 156 0.6× 243 1.0× 299 1.4× 85 1.1k
Luca Molinaro Italy 21 556 0.8× 240 0.5× 236 0.9× 220 0.9× 278 1.3× 66 1.3k
Carlie Sigel United States 20 479 0.7× 1.1k 2.2× 468 1.7× 118 0.5× 257 1.2× 67 1.7k
Liliane Boccon‐Gibod France 29 1.4k 1.9× 308 0.6× 464 1.7× 122 0.5× 223 1.1× 71 2.1k
Rolando Maria D’Angelillo Italy 22 1.1k 1.6× 464 1.0× 288 1.1× 523 2.1× 172 0.8× 112 1.8k
Zhendong Chen China 17 357 0.5× 521 1.1× 153 0.6× 194 0.8× 114 0.6× 54 1.0k
Hesham Elhalawani United States 21 433 0.6× 532 1.1× 206 0.8× 627 2.6× 60 0.3× 93 1.5k
Vito Amoroso Italy 18 340 0.5× 711 1.5× 124 0.5× 82 0.3× 255 1.2× 71 1.1k
Zongmei Zhou China 24 1.1k 1.6× 558 1.1× 484 1.8× 470 1.9× 83 0.4× 142 1.7k
Shuangmei Zou China 19 340 0.5× 714 1.5× 360 1.3× 289 1.2× 219 1.1× 109 1.3k

Countries citing papers authored by Sadanori Takeo

Since Specialization
Citations

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

Fields of papers citing papers by Sadanori Takeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadanori Takeo

This figure shows the co-authorship network connecting the top 25 collaborators of Sadanori Takeo. A scholar is included among the top collaborators of Sadanori Takeo 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 Sadanori Takeo. Sadanori Takeo 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.
Kanavati, Fahdi, Gouji Toyokawa, Seiya Momosaki, et al.. (2021). A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images. Scientific Reports. 11(1). 8110–8110. 39 indexed citations
2.
3.
Haratake, Naoki, Gouji Toyokawa, Takashi Seto, et al.. (2021). The mechanisms of resistance to second- and third-generation ALK inhibitors and strategies to overcome such resistance. Expert Review of Anticancer Therapy. 21(9). 975–988. 15 indexed citations
4.
Shoji, Fumihiro, Sadanori Takeo, Koji Yamazaki, et al.. (2018). Impact of Preoperative Ultrasonography Screening for Carotid Artery Stenosis in Lung Cancer Patients. The Annals of Thoracic Surgery. 106(4). 1047–1054.
5.
Watanabe, Masaru, Tomoya Kawaguchi, Shun‐ichi Isa, et al.. (2017). Multiplex Ultrasensitive Genotyping of Patients with Non-Small Cell Lung Cancer for Epidermal Growth Factor Receptor (EGFR) Mutations by Means of Picodroplet Digital PCR. EBioMedicine. 21. 86–93. 16 indexed citations
6.
Shoji, Fumihiro, Naoko Miura, Taichi Matsubara, et al.. (2017). Prognostic significance of immune-nutritional parameters for surgically resected elderly lung cancer patients: a multicentre retrospective study. Interactive Cardiovascular and Thoracic Surgery. 26(3). 389–394. 51 indexed citations
7.
Takenaka, Tomoyoshi, et al.. (2017). The prognostic impact of combined pulmonary fibrosis and emphysema in patients with clinical stage IA non-small cell lung cancer. Surgery Today. 48(2). 229–235. 4 indexed citations
8.
Takenaka, Tomoyoshi, et al.. (2016). The Prognostic Impact of Tumor Volume in Patients with Clinical Stage IA Non–Small Cell Lung Cancer. Journal of Thoracic Oncology. 11(7). 1074–1080. 49 indexed citations
9.
Watanabe, Masaru, Tomoya Kawaguchi, Shun‐ichi Isa, et al.. (2015). Ultra-Sensitive Detection of the Pretreatment EGFR T790M Mutation in Non–Small Cell Lung Cancer Patients with an EGFR-Activating Mutation Using Droplet Digital PCR. Clinical Cancer Research. 21(15). 3552–3560. 182 indexed citations
10.
Shikada, Yasunori, et al.. (2014). Effects of Efforts to Reduce Bronchoscope Damage and Repair Costs. 36(2). 121–125.
11.
Sonobe, Makoto, Hiroshi Date, Hiromi Wada, et al.. (2013). Prognostic factors after complete resection of pN2 non–small cell lung cancer. Journal of Thoracic and Cardiovascular Surgery. 146(4). 788–795. 33 indexed citations
12.
Takeo, Sadanori, Shuichi Tsukamoto, Daigo Kawano, & Masakazu Katsura. (2011). Outcome of an Original Video-Assisted Thoracoscopic Extended Thymectomy for Thymoma. The Annals of Thoracic Surgery. 92(6). 2000–2005. 40 indexed citations
13.
Suemitsu, Ryuichi, et al.. (2010). The results of surgery under general anesthesia in patients with lung cancer. Surgery Today. 41(1). 60–66. 6 indexed citations
14.
Suemitsu, Ryuichi, et al.. (2010). Results of a pulmonary metastasectomy in patients with colorectal cancer. Surgery Today. 41(1). 54–59. 28 indexed citations
15.
Yasumori, Kotaro, et al.. (2007). Hypogenetic Lung Syndrome With Anomalous Venous Return to the Left Inferior Pulmonary Vein. Journal of Thoracic Imaging. 22(4). 351–354. 3 indexed citations
16.
Yoshino, Ichiro, Yukito Ichinose, Akira Nagashima, et al.. (2006). Clinical Characterization of Node-Negative Lung Adenocarcinoma: Results of a Prospective Investigation. Journal of Thoracic Oncology. 1(8). 825–831. 25 indexed citations
17.
Takeo, Sadanori & Koji Yamazaki. (2003). 49 Strategy for treating stage IV non-small cell lung cancer with only brain metastasis. Lung Cancer. 41. S285–S285. 1 indexed citations
18.
Yano, Tokujiro & Sadanori Takeo. (2001). Thymidine phosphorylase activity in nonsmall cell lung carcinoma tissues. Cancer. 92(10). 2658–2661. 5 indexed citations
19.
Yasumoto, Kosei, Sadanori Takeo, Tokujiro Yano, et al.. (1988). Role of tumor‐infiltrating lymphocytes in the host defense mechanism against lung cancer. Journal of Surgical Oncology. 38(4). 221–226. 20 indexed citations
20.
Nakahashi, Hisashi, et al.. (1987). Analysis of results of surgical treatment in patients with T1N0M0 lung cancer.. Haigan. 27(3). 257–262. 2 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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