Saya Ito

2.8k citations
62 papers · 1.9k · h-index 20

Impact in

    • Genetic Neurodegenerative Diseases
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Glycosylation and Glycoproteins Research
    • RNA modifications and cancer

Papers in

Saya Ito

56 papers receiving 1.9k citations

Peers

Saya Ito
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 384
  • Molecular Biology 1.4k
  • Aging 25
  • Genetics 113
  • Cancer Research 156
Replace Yoichiro Matsuoka with:
Yoichiro Matsuoka Japan
Timothy A. Fields United States
Duane L. Guernsey Canada
Jan Domin United Kingdom
Evangelia A. Papakonstanti Greece
Ingrid Verlaan Netherlands
Susan B. Masters United States
Osnat Ashur‐Fabian Israel
John M. Millholland United States
B. Paul Herring United States
Saya Ito relative to Yoichiro Matsuoka Japan Yoichiro Matsuoka's profile →
Citations per field
00.5×1.5×2.0×
Yoichiro Matsuoka · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Saya Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saya Ito Line = papers co-authored together Saya Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008290
2 2011256
3 2002223
4 2004180
5
Detection of micrometastatic prostate cancer cells in lymph nodes by reverse transcriptase-polymerase chain reaction.
1993128
6 2009120
7 200453
8 201048
9 201433
10 200827
11 201426
12 199325
13 198425
14 199724
15 200824
16 199022
17 201822
18 201721
19 201221
20 200920

About Saya Ito

Saya Ito is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Genetics and Surgery, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Estrogen and related hormone effects (6 papers), Genomics and Chromatin Dynamics (6 papers), Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Ubiquitin and proteasome pathways (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (384 citations), Molecular Biology (1.4k citations), Aging (25 citations), Genetics (113 citations) and Cancer Research (156 citations). Saya Ito has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Shigeaki Kato, Eriko Suzuki, Shun Sawatsubashi, Ken‐ichi Takeyama, Takashi Furutani, Yue Zhao, Ken-ichi Takeyama, Tazro Ohta, Alexander Kouzmenko and Tetsuya Tabata. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, Japanese Journal of Clinical Oncology, Bioscience Biotechnology and Biochemistry and Vox Sanguinis.

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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