Yuichi Tambo

1.1k total citations
42 papers, 483 citations indexed

About

Yuichi Tambo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Yuichi Tambo has authored 42 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 27 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Yuichi Tambo's work include Lung Cancer Treatments and Mutations (21 papers), Lung Cancer Research Studies (12 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Yuichi Tambo is often cited by papers focused on Lung Cancer Treatments and Mutations (21 papers), Lung Cancer Research Studies (12 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Yuichi Tambo collaborates with scholars based in Japan, United States and Australia. Yuichi Tambo's co-authors include Kazuo Kasahara, Takashi Sone, Noriko Yanagitani, Atsushi Horiike, Makoto Nishio, Fumiyoshi Ohyanagi, Noriyuki Ohkura, Hideharu Kimura, Satoru Kitazono and Noriko Motoi and has published in prestigious journals such as Journal of Clinical Oncology, CHEST Journal and Annals of Oncology.

In The Last Decade

Yuichi Tambo

37 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuichi Tambo Japan 12 375 319 102 66 53 42 483
Shingo Nishikawa Japan 12 234 0.6× 244 0.8× 60 0.6× 64 1.0× 38 0.7× 31 360
Ichiro Nakachi Japan 13 374 1.0× 263 0.8× 269 2.6× 138 2.1× 20 0.4× 34 629
Jean-François Martini United States 12 390 1.0× 237 0.7× 196 1.9× 134 2.0× 22 0.4× 24 481
Zhaofei Pang China 14 169 0.5× 259 0.8× 152 1.5× 127 1.9× 71 1.3× 29 506
Yasunori Deguchi Japan 10 160 0.4× 153 0.5× 104 1.0× 43 0.7× 49 0.9× 16 352
Maria Bassanelli Italy 10 326 0.9× 419 1.3× 99 1.0× 68 1.0× 33 0.6× 23 547
Christine M. Heske United States 11 162 0.4× 135 0.4× 161 1.6× 85 1.3× 25 0.5× 23 380
Satoshi Hashigaki Japan 11 279 0.7× 306 1.0× 56 0.5× 42 0.6× 51 1.0× 19 406
Daxing Zhu China 13 158 0.4× 174 0.5× 140 1.4× 94 1.4× 19 0.4× 58 469
A. García Spain 10 180 0.5× 183 0.6× 84 0.8× 56 0.8× 30 0.6× 22 339

Countries citing papers authored by Yuichi Tambo

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Tambo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Tambo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Tambo. A scholar is included among the top collaborators of Yuichi Tambo 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 Yuichi Tambo. Yuichi Tambo 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.
2.
Liu, Yifeng, Seiji Nomura, Sachiko Arai, et al.. (2025). Mechanisms of resistance to antibody–drug conjugates in cancers. Respiratory Investigation. 63(4). 693–698. 2 indexed citations
3.
Koba, Hayato, Hideharu Kimura, Isao Matsumoto, et al.. (2025). Prognostic value of preoperative ctDNA and pathological venous invasion for recurrence in EGFR-mutated non-small cell lung cancer. Lung Cancer. 213. 108818–108818.
4.
Tanaka, Hisashi, Tomonori Makiguchi, Takehiro Tozuka, et al.. (2024). Comparison of immune checkpoint inhibitor plus chemotherapy or ipilimumab plus nivolumab-based therapy for NSCLC patients with PD-L1 TPS (1–49 %): TOPGAN2023-01. European Journal of Cancer. 213. 115117–115117. 1 indexed citations
5.
Koba, Hayato, Hiroko Morita, Hideharu Kimura, et al.. (2024). Genomic evolutional analysis of surgical resected specimen to assess osimertinib as a first‐line therapy in two patients with lung cancer harboring EGFR mutation: Case series. Thoracic Cancer. 15(8). 661–666. 1 indexed citations
6.
Hara, Johsuke, Yoshihiro Takeda, Takafumi Kobayashi, et al.. (2023). Bronchial Thermoplasty Attenuates Cough Reflex Sensitivity in Severe Asthma : A Single-Center Retrospective Study with 2-year Follow-up. The Journal of Medical Investigation. 70(1.2). 271–275. 1 indexed citations
7.
Watanabe, Satoshi, et al.. (2023). Unexpected Diffuse Alveolar Hemorrhage After Bronchoscopy. CHEST Journal. 164(3). e71–e74.
8.
9.
Komatsu, Yoshito, Tsuneo Shimokawa, Kohei Akiyoshi, et al.. (2022). An open-label, crossover study to compare different formulations and evaluate effect of food on pharmacokinetics of pimitespib in patients with advanced solid tumors. Investigational New Drugs. 40(5). 1011–1020. 4 indexed citations
10.
Ohkura, Noriyuki, Rie Tanaka, Johsuke Hara, et al.. (2021). Two cases of chronic obstructive pulmonary disease evaluated by dynamic-ventilatory digital radiography for pulmonary function and assessment of treatment efficacy. Respiratory Investigation. 59(6). 871–875. 1 indexed citations
11.
Okuma, Yusuke, Yasushi Goto, Fumiyoshi Ohyanagi, et al.. (2020). Phase II trial of S‐1 treatment as palliative‐intent chemotherapy for previously treated advanced thymic carcinoma. Cancer Medicine. 9(20). 7418–7427. 14 indexed citations
12.
Yanagitani, Noriko, Ken Uchibori, Sumie Koike, et al.. (2020). Drug resistance mechanisms in Japanese anaplastic lymphoma kinase‐positive non–small cell lung cancer and the clinical responses based on the resistant mechanisms. Cancer Science. 111(3). 932–939. 41 indexed citations
13.
Hasegawa, Tsukasa, Noriko Yanagitani, Fumiyoshi Ohyanagi, et al.. (2020). Phase II study of the combination of S-1 with bevacizumab for patients with previously treated advanced non-squamous non-small-cell lung cancer. International Journal of Clinical Oncology. 26(3). 507–514.
14.
Tambo, Yuichi, Takashi Sone, Kazuhiko Shibata, et al.. (2020). Real-World Efficacy of First-Line Pembrolizumab in Patients With Advanced or Recurrent Non–Small-Cell Lung Cancer and High PD-L1 Tumor Expression. Clinical Lung Cancer. 21(5). e366–e379. 27 indexed citations
15.
Hara, Johsuke, Takafumi Kobayashi, Noriyuki Ohkura, et al.. (2019). The prevalence and clinical features of asthma-COPD overlap (ACO) definitively diagnosed according to the Japanese Respiratory Society Guidelines for the Management of ACO 2018. The Journal of Medical Investigation. 66(1.2). 157–164. 15 indexed citations
16.
Sunami, Kuniko, Yoshiro Nakahara, Satoru Kitazono, et al.. (2017). Phase II trial of S-1 treatment as palliative-intent chemotherapy for previously treated advanced thymic carcinoma. Annals of Oncology. 28. v571–v572.
17.
18.
Kimura, Hideharu, Takashi Sone, Hayato Koba, et al.. (2017). Long-lasting shrinkage in tumor mass after discontinuation of nivolumab treatment. Lung Cancer. 108. 7–8. 5 indexed citations
19.
Sakakibara, Rie, Kentaro Inamura, Yuichi Tambo, et al.. (2016). EBUS-TBNA as a Promising Method for the Evaluation of Tumor PD-L1 Expression in Lung Cancer. Clinical Lung Cancer. 18(5). 527–534.e1. 108 indexed citations
20.
Watanabe, Satoshi, Takashi Sone, Mayuko Tani, et al.. (2013). Transformation to small-cell lung cancer following treatment with EGFR tyrosine kinase inhibitors in a patient with lung adenocarcinoma. Lung Cancer. 82(2). 370–372. 79 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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