Sachiko Arai

1.5k total citations
53 papers, 1.0k citations indexed

About

Sachiko Arai is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Sachiko Arai has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 21 papers in Pulmonary and Respiratory Medicine and 20 papers in Molecular Biology. Recurrent topics in Sachiko Arai's work include Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (9 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Sachiko Arai is often cited by papers focused on Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (9 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Sachiko Arai collaborates with scholars based in Japan, United States and Singapore. Sachiko Arai's co-authors include Seiji Yano, Shinji Takeuchi, Akihiro Nishiyama, Koji Fukuda, Tadaaki Yamada, Azusa Tanimoto, Wei Wang, Rong Wang, Yueyun Ma and Shunli Peng and has published in prestigious journals such as Cancer Research, Biochemical Journal and Clinical Cancer Research.

In The Last Decade

Sachiko Arai

45 papers receiving 1.0k citations

Peers

Sachiko Arai
Hien Dang United States
Justine Peeters Netherlands
Animesh Barua United States
Joseph M. Petroziello United States
Chris Parsons United States
Bader Siddiki United States
Hien Dang United States
Sachiko Arai
Citations per year, relative to Sachiko Arai Sachiko Arai (= 1×) peers Hien Dang

Countries citing papers authored by Sachiko Arai

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Arai. A scholar is included among the top collaborators of Sachiko Arai 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 Sachiko Arai. Sachiko Arai 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.
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
2.
Ushida, Kazunari, et al.. (2025). Therapeutic effects of platelet-rich plasma on cartilage in experimental swine models of leg weakness. Journal of Veterinary Medical Science. 88(1). 116–118.
3.
Tran, Nam, Shehzahdi S. Moonshi, Alfred K. Lam, et al.. (2025). Nanomaterials in cancer starvation therapy: pioneering advances, therapeutic potential, and clinical challenges. Cancer and Metastasis Reviews. 44(2). 51–51. 1 indexed citations
4.
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.
5.
Fujita, Hikaru, Sachiko Arai, Hiroshi Arakawa, et al.. (2024). Drug–drug conjugates of MEK and Akt inhibitors for RAS-mutant cancers. Bioorganic & Medicinal Chemistry. 102. 117674–117674. 2 indexed citations
6.
Tanimoto, Azusa, Shingo Matsumoto, Shinji Takeuchi, et al.. (2020). Proteasome Inhibition Overcomes ALK-TKI Resistance in ALK -Rearranged/ TP53 -Mutant NSCLC via Noxa Expression. Clinical Cancer Research. 27(5). 1410–1420. 38 indexed citations
7.
Mihara, Takahiro, Yusuke Mizuno, Hiroko Fujimoto, et al.. (2020). Anterior quadratus lumborum block for postoperative recovery after total hip arthroplasty: a study protocol for a single-center, double-blind, randomized controlled trial. Trials. 21(1). 142–142. 8 indexed citations
8.
Arai, Sachiko, Shinji Takeuchi, Koji Fukuda, et al.. (2020). Osimertinib Overcomes Alectinib Resistance Caused by Amphiregulin in a Leptomeningeal Carcinomatosis Model of ALK-Rearranged Lung Cancer. Journal of Thoracic Oncology. 15(5). 752–765. 22 indexed citations
9.
Wang, Rong, Tadaaki Yamada, Sachiko Arai, et al.. (2019). Distribution and Activity of Lenvatinib in Brain Tumor Models of Human Anaplastic Thyroid Cancer Cells in Severe Combined Immune Deficient Mice. Molecular Cancer Therapeutics. 18(5). 947–956. 20 indexed citations
10.
Fukuda, Koji, Shinji Takeuchi, Sachiko Arai, et al.. (2019). Epithelial-to-Mesenchymal Transition Is a Mechanism of ALK Inhibitor Resistance in Lung Cancer Independent of ALK Mutation Status. Cancer Research. 79(7). 1658–1670. 79 indexed citations
11.
Takeuchi, Shinji, Tetsunari Hase, Shinobu Shimizu, et al.. (2019). Phase I study of vorinostat with gefitinib in BIM deletion polymorphism/epidermal growth factor receptor mutation double‐positive lung cancer. Cancer Science. 111(2). 561–570. 28 indexed citations
12.
Peng, Shunli, Rong Wang, Xiaojuan Zhang, et al.. (2019). EGFR-TKI resistance promotes immune escape in lung cancer via increased PD-L1 expression. Molecular Cancer. 18(1). 165–165. 210 indexed citations
13.
Nishiyama, Akihiro, Tadaaki Yamada, Kenji Kita, et al.. (2018). Foretinib Overcomes Entrectinib Resistance Associated with the NTRK1 G667C Mutation in NTRK1 Fusion–Positive Tumor Cells in a Brain Metastasis Model. Clinical Cancer Research. 24(10). 2357–2369. 22 indexed citations
14.
Nanjo, Shigeki, Sachiko Arai, Wei Wang, et al.. (2017). MET Copy Number Gain Is Associated with Gefitinib Resistance in Leptomeningeal Carcinomatosis of EGFR -mutant Lung Cancer. Molecular Cancer Therapeutics. 16(3). 506–515. 47 indexed citations
15.
Taniguchi, Hirokazu, Tadaaki Yamada, Shinji Takeuchi, et al.. (2017). Impact of MET inhibition on small‐cell lung cancer cells showing aberrant activation of the hepatocyte growth factor/ MET pathway. Cancer Science. 108(7). 1378–1385. 20 indexed citations
16.
Tanimoto, Azusa, Shinji Takeuchi, Sachiko Arai, et al.. (2016). Histone Deacetylase 3 Inhibition Overcomes BIM Deletion Polymorphism–Mediated Osimertinib Resistance in EGFR- Mutant Lung Cancer. Clinical Cancer Research. 23(12). 3139–3149. 71 indexed citations
17.
Onda, Ken, Reiichiro Sato, Hideharu Ochiai, et al.. (2013). Leptin mRNA expression in the mammary gland of holstein dairy cows. Journal of Animal and Veterinary Advances. 12(1). 118–122.
18.
Noguchi, Michiko, Koji Yoshioka, Seigo Itoh, et al.. (2009). Peripheral concentrations of inhibin A, ovarian steroids, and gonadotropins associated with follicular development throughout the estrous cycle of the sow. Reproduction. 139(1). 153–161. 43 indexed citations
19.
Kabeya, Hidenori, Soichi Maruyama, Yukio Morita, et al.. (2003). Distribution of Arcobacter species among livestock in Japan. Veterinary Microbiology. 93(2). 153–158. 66 indexed citations
20.
Kohama, Yasuhiro, et al.. (1995). Induction of Unresponsiveness of Antigen-Specific T Lymphocytes by Oral Administration of Cedar Pollen Extract in Mice.. Biological and Pharmaceutical Bulletin. 18(10). 1315–1319. 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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