Misato Saito

2.0k total citations
38 papers, 1.3k citations indexed

About

Misato Saito is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, Misato Saito has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Reproductive Medicine and 11 papers in Oncology. Recurrent topics in Misato Saito's work include Ovarian cancer diagnosis and treatment (15 papers), Cancer-related molecular mechanisms research (5 papers) and PARP inhibition in cancer therapy (4 papers). Misato Saito is often cited by papers focused on Ovarian cancer diagnosis and treatment (15 papers), Cancer-related molecular mechanisms research (5 papers) and PARP inhibition in cancer therapy (4 papers). Misato Saito collaborates with scholars based in Japan, United States and Australia. Misato Saito's co-authors include Aikou Okamoto, Nozomu Yanaihara, Satoshi Takakura, Tadao Tanaka, Kyosuke Yamada, Kazunori Ochiai, Takashi Nikaido, Seiji Isonishi, Mitsuyoshi Urashima and Osamu Takikawa and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Misato Saito

37 papers receiving 1.3k citations

Peers

Misato Saito
Anthony Batzler United States
Joo Ern Ang United Kingdom
Mark Kilgore United States
Lijun Cheng United States
Lijie Zhai United States
Mark Fidock United Kingdom
Anthony Batzler United States
Misato Saito
Citations per year, relative to Misato Saito Misato Saito (= 1×) peers Anthony Batzler

Countries citing papers authored by Misato Saito

Since Specialization
Citations

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

Fields of papers citing papers by Misato Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misato Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Misato Saito. A scholar is included among the top collaborators of Misato Saito 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 Misato Saito. Misato Saito 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.
Kinoshita, Haruyuki, Hiroshi Sugino, Masashi Kodama, et al.. (2025). The Addition of Vericiguat to Sacubitril/Valsartan Improved the Composite Endpoint. Add a Finishing Touch on Heart Failure Medical Therapy By Vericiguat as Secret Ingredient. European Journal of Heart Failure. 27(12). 2841–2843.
2.
Iida, Yasushi, Nozomu Yanaihara, Yuki Yoshino, et al.. (2024). Bevacizumab increases the sensitivity of olaparib to homologous recombination-proficient ovarian cancer by suppressing CRY1 via PI3K/AKT pathway. Frontiers in Oncology. 14. 1302850–1302850. 4 indexed citations
3.
Yanaihara, Nozomu, Yuki Yoshino, Junya Tabata, et al.. (2022). Paclitaxel sensitizes homologous recombination-proficient ovarian cancer cells to PARP inhibitor via the CDK1/BRCA1 pathway. Gynecologic Oncology. 168. 83–91. 8 indexed citations
4.
Seki, Toshiyuki, Nozomu Yanaihara, Jason Shapiro, et al.. (2021). Interleukin-6 as an enhancer of anti-angiogenic therapy for ovarian clear cell carcinoma. Scientific Reports. 11(1). 7689–7689. 24 indexed citations
5.
Kawakami, Eiryo, Junya Tabata, Nozomu Yanaihara, et al.. (2019). Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers. Clinical Cancer Research. 25(10). 3006–3015. 156 indexed citations
6.
Yanaihara, Nozomu, Yukiko Noguchi, Misato Saito, et al.. (2016). MicroRNA Gene Expression Signature Driven by miR-9 Overexpression in Ovarian Clear Cell Carcinoma. PLoS ONE. 11(9). e0162584–e0162584. 24 indexed citations
7.
Takenaka, Masataka, Motonobu Saito, Reika Iwakawa, et al.. (2015). Profiling of actionable gene alterations in ovarian cancer by targeted deep sequencing. International Journal of Oncology. 46(6). 2389–2398. 16 indexed citations
8.
Hirata, Yukihiro, Noriyuki Murai, Nozomu Yanaihara, et al.. (2014). MicroRNA-21 is a candidate driver gene for 17q23-25 amplification in ovarian clear cell carcinoma. BMC Cancer. 14(1). 799–799. 32 indexed citations
9.
Yamada, Kyosuke, Takako Kiyokawa, Yasushi Iida, et al.. (2012). Pilot study of CD147 protein expression in epithelial ovarian cancer using monoclonal antibody 12C3. Journal of obstetrics and gynaecology research. 38(9). 1211–1219. 4 indexed citations
10.
Yanaihara, Nozomu, Michael S. Anglesio, Kazunori Ochiai, et al.. (2012). Cytokine gene expression signature in ovarian clear cell carcinoma. International Journal of Oncology. 41(3). 1094–1100. 43 indexed citations
11.
Isonishi, Seiji, Motoaki Saito, Misato Saito, & Tadao Tanaka. (2011). Short-Term Serum Deprivation Confers Sensitivity to Taxanes in Platinum-Resistant Human Ovarian Cancer Cells. International Journal of Gynecological Cancer. 21(9). 1547–1554. 1 indexed citations
12.
Bernard, Jeffrey R., Misato Saito, Yi-Hung Liao, Ben B. Yaspelkis, & John L. Ivy. (2008). Exercise training increases components of the c-Cbl–associated protein/c-Cbl signaling cascade in muscle of obese Zucker rats. Metabolism. 57(6). 858–866. 4 indexed citations
13.
Okamoto, Aikou, Takashi Nikaido, Mitsuyoshi Urashima, et al.. (2007). Increased synthesis of indoleamine-2,3-dioxygenase protein is positively associated with impaired survival in patients with serous-type, but not with other types of, ovarian cancer. Oncology Reports. 17(6). 1333–9. 87 indexed citations
14.
Yaspelkis, Ben B., et al.. (2007). Exercise reverses high-fat diet-induced impairments on compartmentalization and activation of components of the insulin-signaling cascade in skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 293(4). E941–E949. 29 indexed citations
15.
Okamoto, Aikou, et al.. (2005). IGFBP1 and Follistatin-like 3 Genes are Significantly Up-regulated in Expression Profiles of the IUGR Placenta. Placenta. 27(2-3). 317–321. 35 indexed citations
17.
Okamoto, Aikou, et al.. (2004). Analysis of fetal DNA from maternal peripheral blood by lectin‐polymerase chain reaction–single strand conformation polymorphism. Congenital Anomalies. 44(3). 142–146. 8 indexed citations
18.
Takakura, Satoshi, Misato Saito, Takaomi Yasuhara, et al.. (1999). Allelic imbalance in chromosome band 18q21 andSMAD4 mutations in ovarian cancers. Genes Chromosomes and Cancer. 24(3). 264–271. 25 indexed citations
19.
Saito, Kuniaki, Bonnie J. Quearry, Misato Saito, et al.. (1993). Kynurenine 3-Hydroxylase in Brain: Species Activity Differences and Effect of Gerbil Cerebral Ischemia. Archives of Biochemistry and Biophysics. 307(1). 104–109. 32 indexed citations
20.
Saito, Kuniaki, Thaddeus S. Nowak, Kazuhiko Suyama, et al.. (1993). Kynurenine Pathway Enzymes in Brain: Responses to Ischemic Brain Injury Versus Systemic Immune Activation. Journal of Neurochemistry. 61(6). 2061–2070. 99 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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