Satoshi Ueno

3.1k total citations
143 papers, 2.4k citations indexed

About

Satoshi Ueno is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Satoshi Ueno has authored 143 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 46 papers in Neurology and 28 papers in Cellular and Molecular Neuroscience. Recurrent topics in Satoshi Ueno's work include Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (13 papers) and Peripheral Neuropathies and Disorders (11 papers). Satoshi Ueno is often cited by papers focused on Genetic Neurodegenerative Diseases (17 papers), Mitochondrial Function and Pathology (13 papers) and Peripheral Neuropathies and Disorders (11 papers). Satoshi Ueno collaborates with scholars based in Japan, United States and France. Satoshi Ueno's co-authors include Makito Hirano, Yoshiko Furiya, Shingo Kariya, Hiroshi Kataoka, Nobuyuki Takahashi, Takehiko Yanagihara, Kazuma Sugie, Hirohide Asai, Yoshitaka Nagai and Yusuke Kato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Satoshi Ueno

136 papers receiving 2.3k citations

Peers

Satoshi Ueno
Comparison fields: 5 of 120
  • Molecular Biology 896
  • Neurology 526
  • Cellular and Molecular Neuroscience 506
  • Surgery 312
  • Rheumatology 286
Replace Naoki Hattori with:
Naoki Hattori Japan
Bolesław Lach Canada
Dong Seok Kim South Korea
J. M. Schröder Germany
Nathalie Streichenberger France
S. M. Chou United States
Carl Hobbs United Kingdom
Lawrence M. Shuer United States
Manabu Wada Japan
K Tashiro Japan
Naoki Hattori Japan View profile →
Citations per field, relative to Satoshi Ueno
Satoshi Ueno · 1×
Citations per year, relative to Satoshi Ueno
Satoshi Ueno · 1×

Countries citing papers authored by Satoshi Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Ueno. A scholar is included among the top collaborators of Satoshi Ueno 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 Satoshi Ueno. Satoshi Ueno 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 0
2 4
3 4
4 10
5 15
6 6
7 7
8 4
9 22
10 1
11 123
12
A study on image-similarity retrieval of the gastric biopsy based on the nucleus cytoplasm ratio
1
13 61
14 62
15 10
16 33
17 7
18 13
19 79
20
Acetylcholine receptor in rabbit thymus: antigenic similarity between acetylcholine receptors of muscle and thymus.
18

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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