Shuhei Ito

493 total citations
12 papers, 356 citations indexed

About

Shuhei Ito is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Shuhei Ito has authored 12 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Shuhei Ito's work include RNA modifications and cancer (3 papers), Pluripotent Stem Cells Research (3 papers) and Mesenchymal stem cell research (3 papers). Shuhei Ito is often cited by papers focused on RNA modifications and cancer (3 papers), Pluripotent Stem Cells Research (3 papers) and Mesenchymal stem cell research (3 papers). Shuhei Ito collaborates with scholars based in Japan and Canada. Shuhei Ito's co-authors include Hideyuki Okano, Narihito Nagoshi, Masaya Nakamura, Morio Matsumoto, Yasuhiro Kamata, Keiko Sugai, Reo Shibata, Osahiko Tsuji, Shinsuke Shibata and Masaru Morita and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Metabolism.

In The Last Decade

Shuhei Ito

11 papers receiving 353 citations

Peers

Shuhei Ito
Comparison fields: 5 of 53
  • Molecular Biology 217
  • Cellular and Molecular Neuroscience 117
  • Pathology and Forensic Medicine 79
  • Developmental Neuroscience 77
  • Surgery 72
Replace Jason S. Taub with:
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Veronica Estrada Germany
Reaz Vawda Canada
Jian-Sheng Zhou China
Mou-xuan Du China
Qing Yan China
Meghan Kapur United States
Daniel Merlo Australia
Zhengwen Ma China
Jason S. Taub United States View profile →
Citations per field, relative to Shuhei Ito
Shuhei Ito · 1×
Citations per year, relative to Shuhei Ito
Shuhei Ito · 1×

Countries citing papers authored by Shuhei Ito

Since Specialization
Citations

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

Fields of papers citing papers by Shuhei Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhei Ito

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 5
3 13
4 106
5 26
6 29
7 65
8 4
9 11
10 64
11
Promoter hypermethylation and quantitative expression analysis of CDKN2A (p14ARF and p16INK4a) gene in esophageal squamous cell carcinoma.
17
12 16

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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