Sachio Shibata

542 total citations
14 papers, 312 citations indexed

About

Sachio Shibata is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Sachio Shibata has authored 14 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Sachio Shibata's work include Hedgehog Signaling Pathway Studies (5 papers), Epigenetics and DNA Methylation (5 papers) and Sphingolipid Metabolism and Signaling (3 papers). Sachio Shibata is often cited by papers focused on Hedgehog Signaling Pathway Studies (5 papers), Epigenetics and DNA Methylation (5 papers) and Sphingolipid Metabolism and Signaling (3 papers). Sachio Shibata collaborates with scholars based in Japan and United States. Sachio Shibata's co-authors include Hideaki Tojo, Maki Miyamoto, Shigeru Kondo, Yuya Oguro, Yukiko Yamamoto, Toshio Tanaka, Atsuo Baba, Tomohiro Kawamoto, Zenyu Shiokawa and Satoshi Sasaki and has published in prestigious journals such as Cancer Research, Scientific Reports and The FASEB Journal.

In The Last Decade

Sachio Shibata

14 papers receiving 303 citations

Peers

Sachio Shibata
Comparison fields: 5 of 58
  • Molecular Biology 229
  • Organic Chemistry 54
  • Oncology 41
  • Cancer Research 35
  • Physiology 34
Replace Zachariah H. Foda with:
Zachariah H. Foda United States
Anna D. Cunningham United States
Janice Darlington Türkiye
Eliana MC Tacconi United Kingdom
Daniel LaSala United States
Afshin Bahador United States
Gipsy Majumdar United States
Aikaterini Nikolaou Greece
Koc-Kan Ho United States
Andrea Di Fonzo Italy
Zachariah H. Foda United States View profile →
Citations per field, relative to Sachio Shibata
Sachio Shibata · 1×
Citations per year, relative to Sachio Shibata
Sachio Shibata · 1×

Countries citing papers authored by Sachio Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Sachio Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachio Shibata

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 37
2 14
3 5
4 9
5 38
6 16
7 11
8 4
9 15
10 55
11 60
12 2
13 13
14 33

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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2026