Masayoshi Sakakura

1.0k total citations
33 papers, 847 citations indexed

About

Masayoshi Sakakura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Masayoshi Sakakura has authored 33 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Immunology. Recurrent topics in Masayoshi Sakakura's work include Glycosylation and Glycoproteins Research (5 papers), Protein Structure and Dynamics (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Masayoshi Sakakura is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Protein Structure and Dynamics (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Masayoshi Sakakura collaborates with scholars based in Japan, United States and Canada. Masayoshi Sakakura's co-authors include Ichio Shimada, Charles R. Sanders, Hideo Takahashi, Andrew J. Beel, Hiroaki Terasawa, Paul J. Barrett, A. Arima, T. Sebe, Mayumi Miyazawa and N. Nishida and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Masayoshi Sakakura

33 papers receiving 835 citations

Peers

Masayoshi Sakakura
Comparison fields: 5 of 98
  • Molecular Biology 497
  • Cell Biology 136
  • Nuclear and High Energy Physics 112
  • Physiology 105
  • Spectroscopy 101
Replace Geoffrey S. Armstrong with:
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Geoffrey S. Armstrong United States View profile →
Citations per field, relative to Masayoshi Sakakura
Masayoshi Sakakura · 1×
Citations per year, relative to Masayoshi Sakakura
Masayoshi Sakakura · 1×

Countries citing papers authored by Masayoshi Sakakura

Since Specialization
Citations

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

Fields of papers citing papers by Masayoshi Sakakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Sakakura

This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Sakakura. A scholar is included among the top collaborators of Masayoshi Sakakura 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 Masayoshi Sakakura. Masayoshi Sakakura 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 1
2 2
3 10
4 16
5 3
6 15
7 3
8 34
9 138
10 24
11 8
12 19
13 2
14 11
15 2
16 25
17 59
18 2
19 46
20 92

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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