Masato Maesako

1.2k total citations
39 papers, 910 citations indexed

About

Masato Maesako is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Masato Maesako has authored 39 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 21 papers in Molecular Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Masato Maesako's work include Alzheimer's disease research and treatments (34 papers), Neuroscience and Neuropharmacology Research (11 papers) and Prion Diseases and Protein Misfolding (5 papers). Masato Maesako is often cited by papers focused on Alzheimer's disease research and treatments (34 papers), Neuroscience and Neuropharmacology Research (11 papers) and Prion Diseases and Protein Misfolding (5 papers). Masato Maesako collaborates with scholars based in United States, Japan and Germany. Masato Maesako's co-authors include Ayae Kinoshita, Kengo Uemura, Shun Shimohama, Oksana Berezovska, Kiwamu Watanabe, Masakazu Kubota, Akira Kuzuya, Ryōsuke Takahashi, Takeshi Kihara and Katarzyna Marta Zoltowska and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Masato Maesako

37 papers receiving 902 citations

Peers

Masato Maesako
Comparison fields: 5 of 83
  • Physiology 577
  • Molecular Biology 347
  • Cellular and Molecular Neuroscience 200
  • Neurology 145
  • Pharmacology 95
Replace Catherine Malaplate‐Armand with:
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Anita Tammara United States
Hannah Tayler United Kingdom
Alexandre Courchesne‐Loyer Canada
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Catherine Malaplate‐Armand France View profile →
Citations per field, relative to Masato Maesako
Masato Maesako · 1×
Citations per year, relative to Masato Maesako
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Countries citing papers authored by Masato Maesako

Since Specialization
Citations

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

Fields of papers citing papers by Masato Maesako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Maesako

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Maesako. A scholar is included among the top collaborators of Masato Maesako 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 Masato Maesako. Masato Maesako 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 3
3 0
4 15
5 2
6 1
7 3
8 3
9 4
10 25
11 5
12 24
13 34
14 17
15 121
16 26
17 20
18 92
19 10
20 56

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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