Taku Amo

2.2k total citations
31 papers, 1.2k citations indexed

About

Taku Amo is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Taku Amo has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Physiology and 8 papers in Neurology. Recurrent topics in Taku Amo's work include Mitochondrial Function and Pathology (14 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Metabolism and Genetic Disorders (6 papers). Taku Amo is often cited by papers focused on Mitochondrial Function and Pathology (14 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Metabolism and Genetic Disorders (6 papers). Taku Amo collaborates with scholars based in Japan, United States and India. Taku Amo's co-authors include Tadayuki Imanaka, Haruyuki Atomi, Martin D. Brand, Masaaki Toyomizu, Nobutaka Hattori, Shinji Saiki, Motoi Kikusato, Nobuko Matsushita, Yohei Matsuki and Yoshihisa Kudo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cell and Circulation Research.

In The Last Decade

Taku Amo

30 papers receiving 1.1k citations

Peers

Taku Amo
Comparison fields: 5 of 109
  • Molecular Biology 749
  • Physiology 216
  • Neurology 167
  • Epidemiology 165
  • Clinical Biochemistry 125
Replace Kenneth J. Rodgers with:
Kenneth J. Rodgers Australia
Katrin Merker Germany
Daniela Mennerich Finland
Laura M. Garrick United States
Stefan Helling Germany
Zhi‐Bin Yu China
Shawn W. Flanagan United States
Ruzhou Zhao China
Toshio Ariga Japan
Marianna Flora Tomasello Italy
Kenneth J. Rodgers Australia View profile →
Citations per field, relative to Taku Amo
Taku Amo · 1×
Citations per year, relative to Taku Amo
Taku Amo · 1×

Countries citing papers authored by Taku Amo

Since Specialization
Citations

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

Fields of papers citing papers by Taku Amo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Amo

This figure shows the co-authorship network connecting the top 25 collaborators of Taku Amo. A scholar is included among the top collaborators of Taku Amo 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 Amo. Taku Amo 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 9
3 3
4 12
5 60
6 17
7 3
8 107
9 31
10 244
11 3
12 12
13 30
14
Mitochondrial energetics and ROS production in chicken skeletal muscle: application of modular kinetic analysis.
1
15 27
16 74
17 58
18 26
19
Expression of acetylcholine in archaea
2
20 83

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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