S. Takemori

23 papers receiving 431 citations

Peers

S. Takemori
Comparison fields: 5 of 87
  • Behavioral Neuroscience 40
  • Endocrinology, Diabetes and Metabolism 83
  • Cardiology and Cardiovascular Medicine 106
  • Biomaterials 64
  • Pharmacology 26
Replace J. Zipper with:
J. Zipper Germany
Tomoharu Osada Japan
Gregory J. Hardy United States
Martin Kratzmeier Germany
J. B. Trunnell United States
T. C. Chu United States
Masataka Ohba Japan
François Tiaho France
Huisheng Feng United States
Jody L. Allen United Kingdom
S. Takemori relative to J. Zipper Germany J. Zipper's profile →
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Citations per year

Countries citing papers authored by S. Takemori

Since Specialization
Citations

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

Fields of papers citing papers by S. Takemori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Takemori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Takemori Line = papers co-authored together S. Takemori links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991106
2 200080
3 200142
4 198335
5 199233
6 199329
7 199717
8 199017
9 199315
10 199112
11 19959
12
A pre-active attached state of myosin heads in rat skeletal muscles.
19989
13 20077
14 20097
15
[Hyperthermia for cancer with dextran magnetite using tubular implants].
19926
16 19934
17 20023
18
Suppressing effect of 2,3-butanedione monoxime on contraction and ATPase activity of rabbit skeletal muscle.
19892
19 20012
20 20071

About S. Takemori

S. Takemori is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine and Cell Biology, having authored 24 papers that have together received 439 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (10 papers), Muscle Physiology and Disorders (7 papers), Muscle activation and electromyography studies (2 papers), Cellular Mechanics and Interactions (2 papers), ATP Synthase and ATPases Research (2 papers), Sports Performance and Training (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Behavioral Neuroscience (40 citations), Endocrinology, Diabetes and Metabolism (83 citations), Cardiology and Cardiovascular Medicine (106 citations), Biomaterials (64 citations) and Pharmacology (26 citations). S. Takemori has collaborated with scholars based in Japan, Australia and France. Frequent co-authors include Naoto Yagi, Shiro Kominami, Masahito Watanabe, K. Horiuti, N. Sananès, E E Baulieu, Claude Le Goascogne, M. Gouézou, P Röbel and K Tazawa. Their work appears in journals such as Journal of Muscle Research and Cell Motility, The Journal of Biochemistry, Advances in Biophysics, Advances in experimental medicine and biology and Pflügers Archiv - European Journal of Physiology.

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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