Eijiro MAEDA

879 citations
38 papers · 640 · h-index 11

Impact in

Papers in

Eijiro MAEDA

34 papers receiving 627 citations

Peers

Eijiro MAEDA
Comparison fields: 5 of 68
  • Orthopedics and Sports Medicine 238
  • Cellular and Molecular Neuroscience 242
  • Cognitive Neuroscience 223
  • Cell Biology 118
  • Rehabilitation 27
Replace Roy M. Smeal with:
Roy M. Smeal United States
Ju‐Wen Cheng Taiwan
Neil M. Cole United States
María Ángeles Trillo Spain
J. Molenaar Netherlands
Keisuke Kawakami Japan
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Citations per year

Countries citing papers authored by Eijiro MAEDA

Since Specialization
Citations

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

Fields of papers citing papers by Eijiro MAEDA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995276
2 200857
3 201136
4 200732
5 201332
6 201029
7 201323
8 201520
9 201716
10 202213
11 200912
12 202410
13 20169
14 20197
15
The tensile properties of collagen fascicles harvested from regenerated and residual tissues in the patellar tendon after removal of the central third.
20077
16 20197
17 20176
18 20215
19 20145
20 20225

About Eijiro MAEDA

Eijiro MAEDA is a scholar working on Orthopedics and Sports Medicine, Cell Biology, Surgery, Biomedical Engineering and Molecular Biology, having authored 38 papers that have together received 640 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (21 papers), Cellular Mechanics and Interactions (14 papers), Sports injuries and prevention (10 papers), 3D Printing in Biomedical Research (5 papers), Knee injuries and reconstruction techniques (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Orthopedic Surgery and Rehabilitation (4 papers) and Bee Products Chemical Analysis (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (238 citations), Cellular and Molecular Neuroscience (242 citations), Cognitive Neuroscience (223 citations), Cell Biology (118 citations) and Rehabilitation (27 citations). Eijiro MAEDA has collaborated with scholars based in Japan, United Kingdom and Malaysia. Frequent co-authors include Akio Kawana, Toshiro OHASHI, Dan L. Bader, David A. Lee, Julia C. Shelton, Takeo MATSUMOTΟ, Martin M. Knight, Wen Wang, James H‐C. Wang and Kazunori Yasuda. Their work appears in journals such as Journal of Biomechanics, Biochemical and Biophysical Research Communications, Journal of the mechanical behavior of biomedical materials, Scientific Reports and Journal of Orthopaedic Research®.

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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