Taku Arano

429 total citations
5 papers, 314 citations indexed

About

Taku Arano is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Taku Arano has authored 5 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Taku Arano's work include Cellular transport and secretion (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Mitochondrial Function and Pathology (2 papers). Taku Arano is often cited by papers focused on Cellular transport and secretion (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Mitochondrial Function and Pathology (2 papers). Taku Arano collaborates with scholars based in Japan, Taiwan and South Korea. Taku Arano's co-authors include Yuzuru Imai, Nobutaka Hattori, Tsuyoshi Inoshita, Gen Matsumoto, Nobuyuki Nukina, Kahori Shiba‐Fukushima, Yasushi Ishihama, Kwon‐Yul Ryu, Hongrui Meng and Hui-Yun Chang and has published in prestigious journals such as Human Molecular Genetics, PLoS Genetics and Advances in experimental medicine and biology.

In The Last Decade

Taku Arano

5 papers receiving 311 citations

Peers

Taku Arano
Comparison fields: 5 of 41
  • Molecular Biology 177
  • Neurology 152
  • Epidemiology 138
  • Cell Biology 74
  • Cellular and Molecular Neuroscience 64
Replace Leslie A. Scarffe with:
Leslie A. Scarffe Canada
Hongrui Meng China
Juliette J. Lee United Kingdom
Mümine Şentürk United States
Dajana Großmann Germany
Safia Ladha Canada
Hortense de Calbiac France
Tomoyo Sawada Japan
Antoine Fouillet United Kingdom
Janet Ugolino United States
Leslie A. Scarffe Canada View profile →
Citations per field, relative to Taku Arano
Taku Arano · 1×
Citations per year, relative to Taku Arano
Taku Arano · 1×

Countries citing papers authored by Taku Arano

Since Specialization
Citations

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

Fields of papers citing papers by Taku Arano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Arano

This figure shows the co-authorship network connecting the top 25 collaborators of Taku Arano. A scholar is included among the top collaborators of Taku Arano 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 Taku Arano. Taku Arano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 9
2 91
3 14
4 56
5 144

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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2026