Ryoko Takeuchi

799 citations
65 papers · 531 · h-index 10

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Neurogenetic and Muscular Disorders Research

Papers in

Ryoko Takeuchi

57 papers receiving 530 citations

Peers

Ryoko Takeuchi
Comparison fields: 5 of 88
  • Genetics 117
  • Rehabilitation 48
  • Neurology 97
  • Cancer Research 72
  • Orthopedics and Sports Medicine 37
Replace Canbin Zheng with:
Canbin Zheng China
Jianguang Xu China
Thais Raquel Martins Filippo Brazil
T. Mark Campbell Canada
Francesco Stagno d’Alcontres Italy
Iris Kulbatski Canada
Leonard Lu United States
A. P. Kiyasov Russia
Miao He China
Adil Ladak Canada
Ryoko Takeuchi relative to Canbin Zheng China Canbin Zheng's profile →
Citations per field
00.5×4.5×
Canbin Zheng · 1×
Citations per year

Countries citing papers authored by Ryoko Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Ryoko Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019162
2 201740
3 201639
4 201825
5 201423
6 201521
7 202120
8 201615
9 201215
10 201811
11 20209
12
Estimation of Young's modulus in swine cortical bone using quantitative computed tomography.
19989
13 20219
14 20178
15 20237
16 20197
17 20187
18 20137
19 20155
20 20225

About Ryoko Takeuchi

Ryoko Takeuchi is a scholar working on Surgery, Psychiatry and Mental health, Neurology, Genetics and Pathology and Forensic Medicine, having authored 65 papers that have together received 531 indexed citations. Recurring topics across this work include Cerebral Palsy and Movement Disorders (15 papers), Hip disorders and treatments (12 papers), Orthopaedic implants and arthroplasty (10 papers), Neurogenetic and Muscular Disorders Research (9 papers), Stroke Rehabilitation and Recovery (7 papers), Spinal Cord Injury Research (7 papers), Botulinum Toxin and Related Neurological Disorders (5 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). The work is most often cited by research in Genetics (117 citations), Rehabilitation (48 citations), Neurology (97 citations), Cancer Research (72 citations) and Orthopedics and Sports Medicine (37 citations). Ryoko Takeuchi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tadaharu Kobayashi, Wataru Katagiri, Satoshi Endo, Hirotaka Mutsuzaki, Yuki Mataki, Hiroshi Kamada, Yasuyoshi Wadano, Masashi Yamazaki, Akiyoshi Kakita and Kenichi Yoshikawa. Their work appears in journals such as Acta Neuropathologica Communications, Journal of Pediatric Orthopaedics, Brain Pathology, Journal of Clinical Medicine and Heliyon.

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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