Daisuke Takeshita

1.5k citations
37 papers · 1.1k indexed · h-index 19
Topics
Muscle activation and electromyography studies (14 papers)Neural dynamics and brain function (9 papers)Sports Performance and Training (9 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Daisuke Takeshita

33 papers receiving 1.1k citations

Peers

Daisuke Takeshita
Comparison fields: 5 of 102
  • Orthopedics and Sports Medicine 645
  • Biomedical Engineering 496
  • Surgery 268
  • Cognitive Neuroscience 140
  • Molecular Biology 133
Replace I. Caruso with:
I. Caruso Italy
Gavin J. Pinniger Australia
M. Mohr Austria
M.R. Duvoisin United States
Edwin Mulder Germany
Lennart Gransberg Sweden
M. D. De Boer United Kingdom
Björn Alkner Sweden
Andrew Dilley United Kingdom
Daniel Dumitru United States
Daisuke Takeshita relative to I. Caruso Italy I. Caruso's profile →
Citations per field
00.5×1.5×2.1×
I. Caruso · 1×
Citations per year

Countries citing papers authored by Daisuke Takeshita

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Takeshita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Takeshita

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Takeshita. A scholar is included among the top collaborators of Daisuke Takeshita 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 Daisuke Takeshita. Daisuke Takeshita 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
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 8
6 28
7 15
8 23
9 4
10 18
11 19
12 9
13 15
14 27
15 32
16 44
17 30
18 103
19 56
20 79

About Daisuke Takeshita

Daisuke Takeshita is a scholar working on Orthopedics and Sports Medicine, Cognitive Neuroscience and Pathology and Forensic Medicine, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (14 papers), Neural dynamics and brain function (9 papers) and Sports Performance and Training (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (645 citations), Biomedical Engineering (496 citations) and Cognitive Neuroscience (140 citations). Daisuke Takeshita has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yu Konishi, Toru Fukubayashi, Yasuo Kawakami, Senshi Fukashiro, Tetsuro Muraoka, Tadashi Muramatsu, Tetsuo Fukunaga, Akira Shibayama, Sonya Bahar and Miyako Takaki. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.

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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