Mashito Sakai

2.3k total citations
26 papers, 692 citations indexed

About

Mashito Sakai is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Mashito Sakai has authored 26 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Surgery. Recurrent topics in Mashito Sakai's work include Adipose Tissue and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Pancreatic function and diabetes (6 papers). Mashito Sakai is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Pancreatic function and diabetes (6 papers). Mashito Sakai collaborates with scholars based in Japan, United States and Australia. Mashito Sakai's co-authors include Masato Kasuga, Christopher K. Glass, Michihiro Matsumoto, Yasushi Matsuki, Ryuji Hiramatsu, Tetsuya Noguchi, Tetsuya Hosooka, Ty D. Troutman, Kenjiro Inagaki and Hunter Bennett and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Mashito Sakai

26 papers receiving 686 citations

Peers

Mashito Sakai
Comparison fields: 5 of 83
  • Molecular Biology 430
  • Physiology 150
  • Epidemiology 117
  • Immunology 117
  • Cancer Research 89
Replace Joonseok Cho with:
Joonseok Cho United States
Yann Nouët France
Chadi Zakaria Canada
Pauline Rimmelé United States
Zhiqin Li China
Walbert J. Bakker Netherlands
Abigail L. Peterson United States
Maarten Vanwildemeersch Sweden
Christine Maeder Switzerland
Silvana Cassano Italy
Joonseok Cho United States View profile →
Citations per field, relative to Mashito Sakai
Mashito Sakai · 1×
Citations per year, relative to Mashito Sakai
Mashito Sakai · 1×

Countries citing papers authored by Mashito Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Mashito Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mashito Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Mashito Sakai. A scholar is included among the top collaborators of Mashito Sakai 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 Mashito Sakai. Mashito Sakai 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
# Work Indexed citations
1 2
2 10
3 8
4 9
5 9
6 6
7 63
8 43
9 16
10 12
11 14
12 15
13 23
14 78
15 32
16 58
17 25
18 47
19 91
20 21

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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