Hideyuki Saya

32.4k citations
458 papers · 23.7k indexed · 3 hit papers · h-index 81

Impact in

  • Cell Biology top 0.05%
    • Microtubule and mitosis dynamics
    • Proteoglycans and glycosaminoglycans research
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Microtubule and mitosis dynamics 51
    • Proteoglycans and glycosaminoglycans research 38
    • Cancer Cells and Metastasis 74
    • Cancer-related Molecular Pathways 59

Hideyuki Saya

452 papers receiving 23.4k citations

Hit Papers

Aurora-A — A guardian of poles 2005 · 584 citations
5842003202620102018100200300400500

Peers

Hideyuki Saya
Comparison fields: 5 of 159
  • Cell Biology 6.6k
  • Cancer Research 4.4k
  • Oncology 7.2k
  • Molecular Biology 14.2k
  • Immunology and Allergy 1.0k
Replace Julian Downward with:
Julian Downward United Kingdom
Paolo M. Comoglio Italy
Dafna Bar‐Sagi United States
Dario C. Altieri United States
Martine F. Roussel United States
Yosef Yarden Israel
Jon C. Aster United States
Lena Claesson‐Welsh Sweden
Bengt Westermark Sweden
A. Ullrich Germany
Hideyuki Saya relative to Julian Downward United Kingdom Julian Downward's profile →
Citations per field
00.5×1.5×
Julian Downward · 1×
Citations per year

Countries citing papers authored by Hideyuki Saya

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Saya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideyuki Saya, 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 Hideyuki Saya Line = papers co-authored together Hideyuki Saya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 202142
3 202010
4 20194
5 201622
6 201678
7 201656
8 201514
9 201517
10 201470
11 201352
12 201326
13 2013168
14 2012181
15 201230
16 2012213
17 201057
18 201021
19 2009317
20 2008131

About Hideyuki Saya

Hideyuki Saya is a scholar working on Cell Biology, Oncology, Cancer Research, Molecular Biology and Genetics, having authored 458 papers that have together received 23.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (74 papers), Cancer-related Molecular Pathways (59 papers), Microtubule and mitosis dynamics (51 papers), Proteoglycans and glycosaminoglycans research (38 papers), Epigenetics and DNA Methylation (37 papers), Glioma Diagnosis and Treatment (32 papers), Cancer, Hypoxia, and Metabolism (30 papers) and Ubiquitin and proteasome pathways (23 papers). The work is most often cited by research in Cell Biology (6.6k citations), Cancer Research (4.4k citations), Oncology (7.2k citations), Molecular Biology (14.2k citations) and Immunology and Allergy (1.0k citations). Hideyuki Saya has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Osamu Nagano, Tomotoshi Marumoto, Dongwei Zhang, Yoshimi Arima, Toru Hirota, Masayuki Nitta, Eiji Sugihara, Mitsuyoshi Nakao, Go J. Yoshida and Takashi Sasayama. Their work appears in journals such as Oncogene, Cancer Science, Cancer Research, Journal of Biological Chemistry and PLoS ONE.

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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