Taku Hamada

2.4k total citations
53 papers, 1.9k citations indexed

About

Taku Hamada is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Taku Hamada has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 16 papers in Cardiology and Cardiovascular Medicine and 15 papers in Molecular Biology. Recurrent topics in Taku Hamada's work include Adipose Tissue and Metabolism (22 papers), Metabolism, Diabetes, and Cancer (12 papers) and Muscle activation and electromyography studies (11 papers). Taku Hamada is often cited by papers focused on Adipose Tissue and Metabolism (22 papers), Metabolism, Diabetes, and Cancer (12 papers) and Muscle activation and electromyography studies (11 papers). Taku Hamada collaborates with scholars based in Japan, Canada and South Korea. Taku Hamada's co-authors include D. G. Sale, J. D. MacDougall, Mark A. Tarnopolsky, Tatsuya Hayashi, Tetsuya Kimura, Naoki Sakane, Narumi Nagai, Toshio Moritani, Kazuwa Nakao and Toshio Moritani and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

In The Last Decade

Taku Hamada

53 papers receiving 1.8k citations

Peers

Taku Hamada
Comparison fields: 5 of 110
  • Biomedical Engineering 612
  • Orthopedics and Sports Medicine 607
  • Physiology 535
  • Complementary and alternative medicine 387
  • Molecular Biology 346
Replace Simeon P. Cairns with:
Simeon P. Cairns New Zealand
Matthew A. Schrager United States
Tadashi Suga Japan
Ilenia Bazzucchi Italy
David Morales‐Álamo Spain
Mathew Piasecki United Kingdom
Masaki Mizuno Japan
Joanna Majerczak Poland
Tetsuo Ohkuwa Japan
Cláudio Alexandre Gobatto Brazil
Simeon P. Cairns New Zealand View profile →
Citations per field, relative to Taku Hamada
Taku Hamada · 1×
Citations per year, relative to Taku Hamada
Taku Hamada · 1×

Countries citing papers authored by Taku Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Taku Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Hamada

This figure shows the co-authorship network connecting the top 25 collaborators of Taku Hamada. A scholar is included among the top collaborators of Taku Hamada 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 Hamada. Taku Hamada 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 3
2 29
3 24
4 24
5 15
6 13
7 26
8 28
9 30
10 9
11 76
12 18
13 70
14 33
15
Electrical stimulation enhances energy consumption, glycogen utilization and whole body glucose uptake in humans
1
16 39
17 24
18 105
19 39
20 19

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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