Mitsuharu Okutsu

3.6k citations
45 papers · 2.7k indexed · 1 hit paper · h-index 20
Topics
Exercise and Physiological Responses (22 papers)Muscle Physiology and Disorders (12 papers)Adipose Tissue and Metabolism (10 papers)

In The Last Decade

Mitsuharu Okutsu

40 papers receiving 2.7k citations

Hit Papers

A PGC-1α Isoform Induced by Resistance Training Regulates...20122026201620212012100200300400500

Peers

Mitsuharu Okutsu
Comparison fields: 5 of 113
  • Physiology 1.5k
  • Molecular Biology 1.4k
  • Rehabilitation 658
  • Cell Biology 475
  • Epidemiology 454
Replace Vitor A. Lira with:
Vitor A. Lira United States
Nicholas P. Greene United States
Paige C. Geiger United States
Thorbjörn Åkerström Denmark
Kunihiro Sakuma Japan
Bertrand Léger Switzerland
Yan Burelle Canada
Αnastassios Philippou Greece
Ulrika Raue United States
Angus G. Scrimgeour United States
Mitsuharu Okutsu relative to Vitor A. Lira United States Vitor A. Lira's profile →
Citations per field
00.5×1.5×
Vitor A. Lira · 1×
Citations per year

Countries citing papers authored by Mitsuharu Okutsu

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuharu Okutsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuharu Okutsu

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuharu Okutsu. A scholar is included among the top collaborators of Mitsuharu Okutsu 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 Mitsuharu Okutsu. Mitsuharu Okutsu 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 0
2 4
3 0
4 28
5 14
6 17
7 115
8 94
9 343
10
A PGC-1α Isoform Induced by Resistance Training Regulates Skeletal Muscle Hypertrophybreakdown →
531
11 160
12
angiogenesis in skeletal muscle transformation, mitochondrial biogenesis, and Regulation of exercise-induced fiber type
0
13 68
14 0
15 8
16 64
17 1
18 134
19 50
20 45

About Mitsuharu Okutsu

Mitsuharu Okutsu is a scholar working on Rehabilitation, Physiology and Complementary and alternative medicine, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include Exercise and Physiological Responses (22 papers), Muscle Physiology and Disorders (12 papers) and Adipose Tissue and Metabolism (10 papers). The work is most often cited by research in Rehabilitation (658 citations), Physiology (1.5k citations) and Cell Biology (475 citations). Mitsuharu Okutsu has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Zhen Yan, Vitor A. Lira, Katsuhiko Suzuki, Nicholas P. Greene, Kyle L. Hoehn, Rhianna C. Laker, Yasir Akhtar, Mei Zhang, David Breen and Mei Zhang. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Medicine.

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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