Sachiko Toma-Fukai

635 citations
15 papers · 322 indexed · h-index 9
Topics
Enzyme Structure and Function (5 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Protein Structure and Dynamics (3 papers)
Partner nations
Japan

In The Last Decade

Sachiko Toma-Fukai

15 papers receiving 319 citations

Peers

Sachiko Toma-Fukai
Comparison fields: 5 of 60
  • Molecular Biology 256
  • Oncology 43
  • Cell Biology 30
  • Epidemiology 28
  • Immunology 28
Replace Francesca De Santis with:
Francesca De Santis Italy
Jianfeng Shu China
Hui Si Kwok United States
Kanit Bhukhai Thailand
Meera Shah United States
Ayumi Kato Japan
Mobeen Malik United States
Catherine Fan Canada
Xiangpeng Sheng China
Elisa Schena Italy
Sachiko Toma-Fukai relative to Francesca De Santis Italy Francesca De Santis's profile →
Citations per field
00.5×
Francesca De Santis · 1×
Citations per year

Countries citing papers authored by Sachiko Toma-Fukai

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Toma-Fukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Toma-Fukai

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 6
3 16
4 2
5 107
6 1
7 8
8 14
9 8
10 38
11 23
12 14
13 21
14 15
15 45

About Sachiko Toma-Fukai

Sachiko Toma-Fukai is a scholar working on Molecular Medicine, Physiology and Endocrinology, having authored 15 papers that have together received 322 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Molecular Biology (256 citations), Molecular Medicine (18 citations) and Cell Biology (30 citations). Sachiko Toma-Fukai has collaborated with scholars based in Japan. Frequent co-authors include Toshiyuki Shimizu, Jun‐Dal Kim, Akiyoshi Fukamizu, Kenji Kontani, Toshiaki Katada, Nobutaka Shimizu, Shinya Saijo, Mashito Sakai, N. Kuwabara and Elena Krayukhina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.

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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