Fumiyo Saito

606 citations
46 papers · 444 indexed · h-index 13
Topics
Neurogenesis and neuroplasticity mechanisms (9 papers)Carcinogens and Genotoxicity Assessment (7 papers)Computational Drug Discovery Methods (4 papers)
Partner nations
JapanChinaSouth Korea

In The Last Decade

Fumiyo Saito

43 papers receiving 443 citations

Peers

Fumiyo Saito
Comparison fields: 5 of 102
  • Molecular Biology 169
  • Developmental Neuroscience 110
  • Cancer Research 59
  • Genetics 55
  • Pharmacology 54
Replace Vera Maria Treis Trindade with:
Vera Maria Treis Trindade Brazil
Veslemøy Rolseth Norway
Fernanda Martins Lopes Brazil
Obiamaka Obianyo United States
Yoshiyuki Shishido Japan
Magdalena Dudkowska Poland
Wayne Albers United States
William Z. Suo United States
Lingyun Wang United States
Sihan Li United States
Fumiyo Saito relative to Vera Maria Treis Trindade Brazil Vera Maria Treis Trindade's profile →
Citations per field
00.5×5.9×
Vera Maria Treis Trindade · 1×
Citations per year

Countries citing papers authored by Fumiyo Saito

Since Specialization
Citations

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

Fields of papers citing papers by Fumiyo Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumiyo Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Fumiyo Saito. A scholar is included among the top collaborators of Fumiyo Saito 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 Fumiyo Saito. Fumiyo Saito 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
#WorkIndexed citations
1 1
2 5
3 0
4 7
5 2
6 1
7 20
8 26
9 25
10 13
11 16
12 6
13 5
14 12
15 4
16 49
17 0
18
Suppression of Tear Fluid Proinflammatory Cytokines by D–3–Hydroxybutyrate(HBA) in a Rat Dry Eye Model
1
19 17
20
[A case of callosal apraxia without agraphia and acquired stuttering associated with callosal infarction].
5

About Fumiyo Saito

Fumiyo Saito is a scholar working on Developmental Neuroscience, Cancer Research and Neurology, having authored 46 papers that have together received 444 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Developmental Neuroscience (110 citations), Biotechnology (41 citations) and Neurology (38 citations). Fumiyo Saito has collaborated with scholars based in Japan, China and South Korea. Frequent co-authors include Makoto Shibutani, Nobuya Imatanaka, Yumi Akahori, Ayako Shiraki, Toshinori Yoshida, Hirotoshi Akane, Kouji Kuramochi, Fumio Sugawara, Susumu Kobayashi and Masahiro Takeyoshi. Their work appears in journals such as Tetrahedron, Analytica Chimica Acta and American Journal of Physiology-Heart and Circulatory Physiology.

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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