M Sakai

2.2k total citations
31 papers, 1.9k citations indexed

About

M Sakai is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, M Sakai has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in M Sakai's work include Glutathione Transferases and Polymorphisms (11 papers), Genomics, phytochemicals, and oxidative stress (9 papers) and RNA modifications and cancer (3 papers). M Sakai is often cited by papers focused on Glutathione Transferases and Polymorphisms (11 papers), Genomics, phytochemicals, and oxidative stress (9 papers) and RNA modifications and cancer (3 papers). M Sakai collaborates with scholars based in Japan, Canada and India. M Sakai's co-authors include Akihiko Okuda, Masami Muramatsu, Taiki Tamaoki, M Muramatsu, T Wegmann, Tsuto MORINAGA, Masayoshi Imagawa, Masahiro Murata, Hiroshiro Shibai and Yuzuru Eto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

M Sakai

31 papers receiving 1.9k citations

Peers

M Sakai
Comparison fields: 5 of 97
  • Molecular Biology 1.5k
  • Genetics 307
  • Oncology 287
  • Immunology 198
  • Cancer Research 151
Replace Winnie Eskild with:
Winnie Eskild Norway
Claudine Rauch France
Hitoshi Endo Japan
Reza Zolfaghari United States
Teresa N. Faria United States
Daphne L. Davis United States
Shinzo Nishi Japan
Yasuhiro Mitsuuchi United States
S.T. Okino United States
Mohammed Taimi United States
Winnie Eskild Norway View profile →
Citations per field, relative to M Sakai
M Sakai · 1×
Citations per year, relative to M Sakai
M Sakai · 1×

Countries citing papers authored by M Sakai

Since Specialization
Citations

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

Fields of papers citing papers by M Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of M Sakai. A scholar is included among the top collaborators of M 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 M Sakai. M 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 10
2 65
3 19
4 54
5 15
6
Suppression of rat glutathione transferase P expression by peroxisome proliferators: interaction between Jun and peroxisome proliferator-activated receptor alpha.
37
7 7
8 20
9 9
10 2
11 3
12
Analysis of glutathione transferase P gene regulation with liver cells in primary culture.
11
13 32
14 75
15
Regulation of glutathione transferase P (GST-P) gene expression during chemical hepatocarcinogenesis.
3
16 138
17 184
18 61
19 74
20 227

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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