Kai Tanabe

966 citations
34 papers · 758 indexed · h-index 14
Topics
Exercise and Physiological Responses (11 papers)Muscle metabolism and nutrition (9 papers)Obesity, Physical Activity, Diet (7 papers)
Partner nations
JapanIndiaSouth Korea

In The Last Decade

Kai Tanabe

33 papers receiving 735 citations

Peers

Kai Tanabe
Comparison fields: 5 of 99
  • Physiology 302
  • Rehabilitation 180
  • Cardiology and Cardiovascular Medicine 148
  • Public Health, Environmental and Occupational Health 144
  • Molecular Biology 143
Replace Amy E. Mendham with:
Amy E. Mendham South Africa
Yftach Gepner Israel
Shizuo Sakamoto Japan
Craig E. Broeder United States
Francisco Navarro Brazil
Huey‐June Wu Taiwan
Sung-Woo Kim South Korea
Arthur Fernandes Gáspari Brazil
Susanne Ring‐Dimitriou Austria
Cláudio Córdova Brazil
Kai Tanabe relative to Amy E. Mendham South Africa Amy E. Mendham's profile →
Citations per field
00.5×3.3×
Amy E. Mendham · 1×
Citations per year

Countries citing papers authored by Kai Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Kai Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Tanabe. A scholar is included among the top collaborators of Kai Tanabe 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 Kai Tanabe. Kai Tanabe 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 2
2 9
3 2
4 7
5 10
6 111
7 11
8 70
9 1
10 12
11 58
12 27
13 97
14 56
15 1
16 31
17
Effect of Coenzyme Q10 supplementation on exercise-induced muscular injury of rats.
49
18 14
19 22
20
[Pure motor monoparesis confined to the left hand].
1

About Kai Tanabe

Kai Tanabe is a scholar working on Rehabilitation, Complementary and alternative medicine and Physiology, having authored 34 papers that have together received 758 indexed citations. Recurring topics across this work include Exercise and Physiological Responses (11 papers), Muscle metabolism and nutrition (9 papers) and Obesity, Physical Activity, Diet (7 papers). The work is most often cited by research in Rehabilitation (180 citations), Complementary and alternative medicine (105 citations) and Physiology (302 citations). Kai Tanabe has collaborated with scholars based in Japan, India and South Korea. Frequent co-authors include Shinya Kuno, Hirofumi Zempo, Noriko Yokoyama, Junghoon Kim, Ichiro Kono, Takayuki Akimoto, Fuminori Kimura, Seiji Maeda, Kazuhiro Shimizu and Michihiro Kon. Their work appears in journals such as PLoS ONE, Medicine & Science in Sports & Exercise and British Journal Of Nutrition.

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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