Satoshi Hattori

8.9k total citations · 3 hit papers
182 papers, 7.0k citations indexed

About

Satoshi Hattori is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Satoshi Hattori has authored 182 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 37 papers in Molecular Biology and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Satoshi Hattori's work include Lung Cancer Treatments and Mutations (19 papers), Statistical Methods in Clinical Trials (16 papers) and Statistical Methods and Inference (12 papers). Satoshi Hattori is often cited by papers focused on Lung Cancer Treatments and Mutations (19 papers), Statistical Methods in Clinical Trials (16 papers) and Statistical Methods and Inference (12 papers). Satoshi Hattori collaborates with scholars based in Japan, United States and South Korea. Satoshi Hattori's co-authors include Motoharu Seiki, Akihiko Kawahara, Koichi Azuma, Masayoshi Kage, Tomoaki Hoshino, Shinzo Takamori, Kenkoh Muroya, Yuko Hashimoto, Isamu Okamoto and Yoichi Nakanishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Satoshi Hattori

175 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human adult T-cell leukemia virus: complete nucleotide sequence of the provirus genome integrated in leukemia cell DNA.

1983 1.3k citations Satoshi Hattori et al. profile →
Association of PD-L1 overexpression with activating EGFR mutations in surgically resected nonsmall-cell lung cancer

2014 525 citations Koichi Azuma, Keiichi Ota et al. profile →
Induction of PD-L1 Expression by the EML4–ALK Oncoprotein and Downstream Signaling Pathways in Non–Small Cell Lung Cancer

2015 366 citations Keiichi Ota, Koichi Azuma et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Satoshi Hattori Japan	39	2.4k	2.0k	1.9k	1.3k	1.2k	182	7.0k
Joseph D. Rosenblatt United States	54	3.7k 1.5×	4.6k 2.3×	3.9k 2.0×	647 0.5×	1.6k 1.4×	226	12.7k
Roger L. Eddy United States	53	5.7k 2.3×	1.6k 0.8×	1.0k 0.5×	392 0.3×	230 0.2×	129	9.9k
James C. Cross Canada	65	7.6k 3.1×	3.7k 1.9×	1.1k 0.6×	640 0.5×	812 0.7×	142	14.8k
Yoshihisa Hasegawa Japan	50	2.5k 1.0×	340 0.2×	437 0.2×	427 0.3×	867 0.7×	190	7.0k
Diego H. Castrillón United States	50	7.5k 3.0×	1.7k 0.9×	1.9k 1.0×	440 0.3×	84 0.1×	111	12.4k
Jon Frampton United Kingdom	40	3.0k 1.2×	2.3k 1.2×	723 0.4×	481 0.4×	76 0.1×	100	7.4k
Yoshinori Murakami Japan	51	4.2k 1.7×	1.1k 0.6×	1.5k 0.8×	796 0.6×	64 0.1×	219	7.6k
Brenda Williams Australia	37	1.9k 0.8×	981 0.5×	638 0.3×	518 0.4×	102 0.1×	100	4.9k
André Rosenthal Germany	52	6.6k 2.7×	871 0.4×	1.4k 0.8×	553 0.4×	146 0.1×	139	10.1k
Sheila A. Stewart United States	46	6.6k 2.7×	2.0k 1.0×	2.0k 1.0×	513 0.4×	80 0.1×	84	10.7k

Countries citing papers authored by Satoshi Hattori

Since Specialization

Citations

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

Fields of papers citing papers by Satoshi Hattori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Hattori

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Hattori. A scholar is included among the top collaborators of Satoshi Hattori 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 Satoshi Hattori. Satoshi Hattori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fujihara, Kazuo, Noriko Isobe, Katsuichi Miyamoto, et al.. (2025). Effectiveness of satralizumab in a real-world clinical setting in Japan: Interleukin-6 receptor inhibition in neuromyelitis optica spectrum disorder: A six-month interim analysis of a multicenter medical chart review. Multiple Sclerosis and Related Disorders. 98. 106384–106384. 2 indexed citations

Zhou, Yi, et al.. (2025). A Simple Sensitivity Analysis Method for Unmeasured Confounders via Linear Programming With Estimating Equation Constraints. Statistics in Medicine. 44(3-4). e10288–e10288.

Gon, Yasufumi, Manabu Sakaguchi, Hiroshi Yamagami, et al.. (2023). Predictors of Survival in Patients With Ischemic Stroke and Active Cancer: A Prospective, Multicenter, Observational Study. Journal of the American Heart Association. 12(15). e029618–e029618. 13 indexed citations

Hattori, Satoshi, et al.. (2023). Running exercise and food restriction affect bone chemical properties in young female rats. PubMed. 27(2). 62–69. 1 indexed citations

Kusumoto, S., Masako Kurashige, Kenji Ohshima, et al.. (2021). An immature inhibin‐α‐expressing subpopulation of ovarian clear cell carcinoma cells is related to an unfavorable prognosis. Cancer Medicine. 10(5). 1485–1500. 5 indexed citations

Kawano, Tomohiro, Tsutomu Sasaki, Yasufumi Gon, et al.. (2021). High neutrophil/lymphocyte ratio at cancer diagnosis predicts incidence of stroke in cancer patients. Brain Communications. 3(2). fcab071–fcab071. 7 indexed citations

Shibata, Tomohiro, Kosuke Watari, Akihiko Kawahara, et al.. (2019). Targeting Phosphorylation of Y-Box–Binding Protein YBX1 by TAS0612 and Everolimus in Overcoming Antiestrogen Resistance. Molecular Cancer Therapeutics. 19(3). 882–894. 47 indexed citations

Iwata, Hiroji, Norikazu Masuda, Daigo Yamamoto, et al.. (2017). Circulating tumor cells as a prognostic marker for efficacy in the randomized phase III JO21095 trial in Japanese patients with HER2-negative metastatic breast cancer. Breast Cancer Research and Treatment. 162(3). 501–510. 10 indexed citations

Shibata, Tomohiro, Kosuke Watari, Hiroto Izumi, et al.. (2016). Breast Cancer Resistance to Antiestrogens Is Enhanced by Increased ER Degradation and ERBB2 Expression. Cancer Research. 77(2). 545–556. 27 indexed citations

10.

Yamaguchi, Rin, Maki Tanaka, Miki Yamaguchi, et al.. (2016). CD8⁺ tumor‐infiltrating lymphocytes contribute to spontaneous “healing” in HER2‐positive ductal carcinoma in situ. Cancer Medicine. 5(7). 1607–1618. 26 indexed citations

11.

Yamamoto, Daigo, Nobuaki Sato, Yoshiaki Rai, et al.. (2016). Efficacy and safety of low-dose capecitabine plus docetaxel versus single-agent docetaxel in patients with anthracycline-pretreated HER2-negative metastatic breast cancer: results from the randomized phase III JO21095 trial. Breast Cancer Research and Treatment. 161(3). 473–482. 8 indexed citations

12.

Ota, Keiichi, Koichi Azuma, Akihiko Kawahara, et al.. (2015). Induction of PD-L1 Expression by the EML4–ALK Oncoprotein and Downstream Signaling Pathways in Non–Small Cell Lung Cancer. Clinical Cancer Research. 21(17). 4014–4021. 366 indexed citations breakdown →

13.

Yutani, Shigeru, Satoru Motoyama, Takanobu Nomura, et al.. (2014). Phase II Study of Personalized Peptide Vaccination for Previously Treated Advanced Colorectal Cancer. Cancer Immunology Research. 2(12). 1154–1162. 44 indexed citations

14.

Shibata, Tomohiro, Yûichi Murakami, Kosuke Watari, et al.. (2013). Y-box Binding Protein-1 Contributes to Both HER2/ErbB2 Expression and Lapatinib Sensitivity in Human Gastric Cancer Cells. Molecular Cancer Therapeutics. 12(5). 737–746. 32 indexed citations

15.

Aoki, Daisuke, Yoshinao Oda, Satoshi Hattori, et al.. (2009). Overexpression of Class III β-Tubulin Predicts Good Response to Taxane-Based Chemotherapy in Ovarian Clear Cell Adenocarcinoma. Clinical Cancer Research. 15(4). 1473–1480. 55 indexed citations

16.

Hattori, Satoshi. (2009). Regression Diagnostics of the Semiparametric Proportional Rate Model for Irregularly Spaced Repeated Measurements. Communication in Statistics- Theory and Methods. 38(4). 542–559. 1 indexed citations

17.

Hayamizu, Kohsuke, Natsumi Yamashita, Satoshi Hattori, & Tatsuyuki Kakuma. (2009). A Change-Point Regression Approach for Efficacy Evaluation of Dietary Supplements. Journal of Clinical Biochemistry and Nutrition. 44(3). 285–290. 7 indexed citations

18.

Kurohmaru, Masamichi, Hisataka Kobayashi, Yoshiakira Kanai, et al.. (1995). Distribution of lectin binding in the testes of the musk shrew, Suncus murinus.. PubMed. 187 ( Pt 2). 323–9. 24 indexed citations

19.

Hattori, Satoshi, et al.. (1981). Stress corrosion cracking of age-hardenable nickel base alloys in high temperature water. Transactions of the American Nuclear Society. 39. 2 indexed citations

20.

Hattori, Satoshi, et al.. (1975). The Role of Water in the Osmotic and Viscoelastic Behavior of Gel Network. Polymer. 16. 281–285. 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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