Sachiko Okuno

2.4k citations
84 papers · 2.1k indexed · h-index 25
Topics
Protein Kinase Regulation and GTPase Signaling (24 papers)Neuroscience and Neuropharmacology Research (11 papers)14-3-3 protein interactions (7 papers)
Partner nations
JapanIndiaBrazil

In The Last Decade

Sachiko Okuno

83 papers receiving 2.0k citations

Peers

Sachiko Okuno
Comparison fields: 5 of 97
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 629
  • Cell Biology 309
  • Physiology 219
  • Biochemistry 136
Replace Mahmoud Kiaei with:
Mahmoud Kiaei United States
Ildete L. Ferreira Portugal
Irina G. Stavrovskaya United States
Anamitra Ghosh United States
Peter Račay Slovakia
Zheng-Hong Qin China
Maria Teresa Carrı̀ Italy
Elena Bogónez Spain
Amy Manning-Bog United States
James G. Begley United States
Sachiko Okuno relative to Mahmoud Kiaei United States Mahmoud Kiaei's profile →
Citations per field
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Mahmoud Kiaei · 1×
Citations per year

Countries citing papers authored by Sachiko Okuno

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Okuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Okuno

This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Okuno. A scholar is included among the top collaborators of Sachiko Okuno 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 Sachiko Okuno. Sachiko Okuno 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 6
2 34
3 20
4 18
5 12
6 52
7 33
8 7
9 18
10 14
11 3
12 80
13 244
14 24
15 17
16 40
17 19
18 28
19 10
20 8

About Sachiko Okuno

Sachiko Okuno is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Developmental Neuroscience, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (24 papers), Neuroscience and Neuropharmacology Research (11 papers) and 14-3-3 protein interactions (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (629 citations), Molecular Biology (1.4k citations) and Cell Biology (309 citations). Sachiko Okuno has collaborated with scholars based in Japan, India and Brazil. Frequent co-authors include Hitoshi Fujisawa, H. Fujisawa, Takako Kitani, T. Kitani, Atsuhiko Ishida, Isamu Kameshita, Fumi Sato, Haruki Fujisawa, Yasukazu Nakamura and Masayuki Takeuchi. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Brain Research.

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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