Kazuhiko Higashida

1.5k citations
43 papers · 1.2k indexed · h-index 18

Kazuhiko Higashida

41 papers receiving 1.2k citations

Peers

Kazuhiko Higashida
Comparison fields: 5 of 91
  • Geriatrics and Gerontology 153
  • Rehabilitation 219
  • Physiology 705
  • Aging 46
  • Cell Biology 239
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Chounghun Kang United States
Hazel A. Lees United States
Chad R. Hancock United States
Stine Ringholm Denmark
Shylesh Bhaskaran United States
Dong-Ho Han United States
Christian Pehmøller Denmark
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Citations per year

Countries citing papers authored by Kazuhiko Higashida

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiko Higashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kazuhiko Higashida, 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 Kazuhiko Higashida Line = papers co-authored together Kazuhiko Higashida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20231
3 202122
4 20219
5 20214
6 202015
7 20209
8 201777
9 201520
10
骨格筋においてβ-アドレナリン作動性刺激はp38 MAPキナーゼを活性化およびPGC-1αを誘発しない
20132
11 2013190
12 201317
13 201320
14 201317
15 201216
16 201158
17 200932
18 20099
19
2P-P-03 Dietary fatty acids influence mitochondrial enzyme activities and PGC-1α protein content in rat skeletal muscle(The Proceedings of the 16th Annual Meetings of Japan Society of Exercise and Sports Physiology August 2-3, (Nara))
20081
20 200834

About Kazuhiko Higashida

Kazuhiko Higashida is a scholar working on Physiology, Cell Biology and Biochemistry, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (23 papers), Muscle metabolism and nutrition (13 papers), Metabolism, Diabetes, and Cancer (10 papers), Mitochondrial Function and Pathology (7 papers), Diet and metabolism studies (7 papers), Muscle Physiology and Disorders (6 papers), Lipid metabolism and biosynthesis (4 papers) and Exercise and Physiological Responses (4 papers). The work is most often cited by research in Geriatrics and Gerontology (153 citations), Rehabilitation (219 citations) and Physiology (705 citations). Kazuhiko Higashida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include John O. Holloszy, Sang Hyun Kim, Dong-Ho Han, Mitsuru Higuchi, Chad R. Hancock, Meiko Asaka, Shin Terada, Dong‐Ho Han, Isao Muraoka and Takuji Kawamura. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Biochemical and Biophysical Research Communications, PLoS Biology, Nutrition and Bioscience Biotechnology and Biochemistry.

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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