Takeshi Arai

4.1k citations
86 papers · 3.3k indexed · 1 hit paper · h-index 25
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Balance, Gait, and Falls Prevention (14 papers)Lipoproteins and Cardiovascular Health (10 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Takeshi Arai

77 papers receiving 3.2k citations

Hit Papers

Abdominal Fat: Standardized Technique for Measurement at CT19992026200820171999200400600

Peers

Takeshi Arai
Comparison fields: 5 of 126
  • Surgery 1.5k
  • Endocrinology, Diabetes and Metabolism 982
  • Physiology 660
  • Molecular Biology 644
  • Epidemiology 567
Replace Ken Sugimoto with:
Ken Sugimoto Japan
Richard L. Seip United States
Frederico G. S. Toledo United States
Haruhiko Osawa Japan
Moncef Feki Tunisia
Andrea Fontana Italy
Makoto Daimon Japan
Kazuaki Kotani Japan
Jian’an Luan United Kingdom
Anke Tönjes Germany
Takeshi Arai relative to Ken Sugimoto Japan Ken Sugimoto's profile →
Citations per field
00.5×3.3×
Ken Sugimoto · 1×
Citations per year

Countries citing papers authored by Takeshi Arai

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Arai. A scholar is included among the top collaborators of Takeshi Arai 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 Takeshi Arai. Takeshi Arai 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 1
3 0
4 1
5 6
6 14
7 0
8 1
9 11
10 20
11 16
12 67
13 11
14 24
15 32
16 9
17
Entrapment neuropathy of the suprascapular nerve by ganglion
11
18 237
19 6
20 22

About Takeshi Arai

Takeshi Arai is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Rehabilitation and Endocrinology, Diabetes and Metabolism, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Balance, Gait, and Falls Prevention (14 papers) and Lipoproteins and Cardiovascular Health (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (982 citations), Endocrine and Autonomic Systems (276 citations) and Surgery (1.5k citations). Takeshi Arai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shizuya Yamashita, Alan R. Tall, Yūji Matsuzawa, Nan Wang, M Yamane, Kazuaki Kotani, Tohru Funahashi, Ken‐ichi Hirano, Masakazu Menju and Franz Rinninger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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