Saya Ito

2.8k total citations
62 papers, 1.9k citations indexed

About

Saya Ito is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Saya Ito has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Saya Ito's work include Prostate Cancer Treatment and Research (9 papers), Genomics and Chromatin Dynamics (6 papers) and Ion channel regulation and function (6 papers). Saya Ito is often cited by papers focused on Prostate Cancer Treatment and Research (9 papers), Genomics and Chromatin Dynamics (6 papers) and Ion channel regulation and function (6 papers). Saya Ito collaborates with scholars based in Japan, United States and Saudi Arabia. Saya Ito's co-authors include Shigeaki Kato, Eriko Suzuki, Shun Sawatsubashi, Ken‐ichi Takeyama, Takashi Furutani, Yue Zhao, Ken-ichi Takeyama, Alexander Kouzmenko, Tazro Ohta and Tetsuya Tabata and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Saya Ito

56 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saya Ito Japan 20 1.4k 384 257 210 208 62 1.9k
Luca Grumolato France 24 1.0k 0.8× 293 0.8× 122 0.5× 270 1.3× 143 0.7× 43 1.7k
Evangelia A. Papakonstanti Greece 24 860 0.6× 198 0.5× 251 1.0× 257 1.2× 270 1.3× 33 1.7k
Timothy A. Fields United States 25 1.6k 1.1× 274 0.7× 195 0.8× 173 0.8× 434 2.1× 40 2.2k
Tatyana Merkulova‐Rainon France 25 1.3k 0.9× 303 0.8× 95 0.4× 237 1.1× 105 0.5× 42 1.9k
Michael Leserer Germany 4 1.2k 0.9× 280 0.7× 139 0.5× 576 2.7× 136 0.7× 4 1.9k
Duane L. Guernsey Canada 27 1.3k 1.0× 207 0.5× 184 0.7× 241 1.1× 302 1.5× 58 2.3k
Yi‐Fen Lee United States 26 1.0k 0.8× 384 1.0× 224 0.9× 165 0.8× 410 2.0× 48 1.7k
Kazuhiko Horigome Japan 18 872 0.6× 319 0.8× 246 1.0× 77 0.4× 212 1.0× 26 1.6k
Yan‐Shan Dai United States 20 2.0k 1.5× 167 0.4× 98 0.4× 257 1.2× 271 1.3× 37 2.6k
Scott Ribich United States 21 1.7k 1.3× 247 0.6× 246 1.0× 556 2.6× 206 1.0× 37 2.9k

Countries citing papers authored by Saya Ito

Since Specialization
Citations

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

Fields of papers citing papers by Saya Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saya Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Saya Ito. A scholar is included among the top collaborators of Saya Ito 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 Saya Ito. Saya Ito 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.
Ito, Saya, et al.. (2025). DNA Methylation Levels at the C3orf37 Loci Correlate With Prostate Cancer Grade. International Journal of Urology. 33(1). e70299–e70299.
2.
Ito, Saya, Takeshi Nomura, Takashi Ueda, et al.. (2021). Gene expression profiles during tissue remodeling following bladder outlet obstruction. Scientific Reports. 11(1). 13171–13171. 7 indexed citations
3.
Ueda, Takashi, Takumi Shiraishi, Saya Ito, et al.. (2021). Abiraterone acetate versus bicalutamide in combination with gonadotropin releasing hormone antagonist therapy for high risk metastatic hormone sensitive prostate cancer. Scientific Reports. 11(1). 10094–10094. 16 indexed citations
4.
Ito, Saya, Takashi Ueda, Akihisa Ueno, et al.. (2017). CNPY2 promoted the proliferation of renal cell carcinoma cells and increased the expression of TP53. Biochemical and Biophysical Research Communications. 485(2). 267–271. 21 indexed citations
5.
NAKAGAWA, Hideo, Takashi Ueda, Saya Ito, et al.. (2016). Androgen suppresses testicular cancer cell growthin vitroandin vivo. Oncotarget. 7(23). 35224–35232. 15 indexed citations
6.
Ueda, Takashi, Saya Ito, Takumi Shiraishi, et al.. (2015). PAX2 promoted prostate cancer cell invasion through transcriptional regulation of HGF in an in vitro model. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(11). 2467–2473. 5 indexed citations
7.
Ito, Saya, et al.. (2014). A genetic screen in Drosophila for regulators of human prostate cancer progression. Biochemical and Biophysical Research Communications. 451(4). 548–555. 33 indexed citations
8.
Taguri, Masataka, et al.. (2012). Laparoscopic or Open Distal Gastrectomy After Neoadjuvant Chemotherapy for Operable Gastric Cancer, a Randomized Phase II Trial (LANDSCOPE Trial). Japanese Journal of Clinical Oncology. 42(7). 654–657. 8 indexed citations
9.
10.
Sawatsubashi, Shun, Takuya Murata, Ryoji Fujiki, et al.. (2009). A histone chaperone, DEK, transcriptionally coactivates a nuclear receptor. Genes & Development. 24(2). 159–170. 120 indexed citations
11.
Zhao, Yue, Guillaume Lang, Saya Ito, et al.. (2008). A TFTC/STAGA Module Mediates Histone H2A and H2B Deubiquitination, Coactivates Nuclear Receptors, and Counteracts Heterochromatin Silencing. Molecular Cell. 29(1). 92–101. 290 indexed citations
12.
Shitara, Kohei, Kei Muro, Daisuke Takahari, et al.. (2008). Chemotherapy for Gastric Cancer that Recurs After Adjuvant Chemotherapy with S-1. Japanese Journal of Clinical Oncology. 38(11). 786–789. 12 indexed citations
13.
Zhao, Yue, Ken‐ichi Takeyama, Shun Sawatsubashi, et al.. (2008). Corepressive Action of CBP on Androgen Receptor Transactivation in Pericentric Heterochromatin in a Drosophila Experimental Model System. Molecular and Cellular Biology. 29(4). 1017–1034. 24 indexed citations
14.
Sawatsubashi, Shun, Akio Maki, Saya Ito, et al.. (2004). Ecdysone receptor-dependent gene regulation mediates histone poly(ADP-ribosyl)ation. Biochemical and Biophysical Research Communications. 320(1). 268–272. 17 indexed citations
15.
Ito, Saya. (2002). Post-transcriptional silencing of the tomatinase gene in Fusarium oxysporum f. sp lycopersici. Phytopathology. 150. 474–480. 5 indexed citations
16.
Takeyama, Ken-ichi, Saya Ito, Ayako Yamamoto, et al.. (2002). Androgen-Dependent Neurodegeneration by Polyglutamine-Expanded Human Androgen Receptor in Drosophila. Neuron. 35(5). 855–864. 223 indexed citations
17.
Deguchi, Takashi, Saya Ito, Yoshinori Nishino, et al.. (1997). Detection of micrometastatic prostate cancer cells in the bone marrow of patients with prostate cancer. British Journal of Cancer. 75(5). 634–638. 24 indexed citations
18.
19.
Ito, Saya, Tazro Ohta, & Yoshikazu Nakazato. (1993). Inward current activated by carbachol in rat intestinal smooth muscle cells.. The Journal of Physiology. 470(1). 395–409. 25 indexed citations
20.
HASEKURA, Hayato, Saya Ito, Yuya Hasegawa, et al.. (1990). Flow cytometric studies of the D antigen of various Rh phenotypes with particular reference to Du and Del. Transfusion. 30(3). 236–238. 22 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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