Eijiro MAEDA

907 citations
41 papers · 687 · h-index 12

Impact in

Papers in

Eijiro MAEDA

35 papers receiving 672 citations

Peers

Eijiro MAEDA
Comparison fields: 5 of 68
  • Orthopedics and Sports Medicine 245
  • Cellular and Molecular Neuroscience 247
  • Cognitive Neuroscience 227
  • Cell Biology 117
  • Equine 6
Replace Ju‐Wen Cheng with:
Ju‐Wen Cheng Taiwan
Joery P.F. Molenaar Netherlands
Neil M. Cole United States
H E ter Keurs Canada
María Ángeles Trillo Spain
Venus Joumaa Canada
Ross A. Jones United Kingdom
Keisuke Kawakami Japan
Shunsuke Mori Japan
Giovanni Cecchi Italy
Eijiro MAEDA relative to Ju‐Wen Cheng Taiwan Ju‐Wen Cheng's profile →
Citations per field
00.5×2×3×4.3×
Ju‐Wen Cheng · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995290
2 200857
3 201138
4 201335
5 200731
6 201028
7 201327
8 201520
9 201716
10 202215
11 202415
12 200914
13 20169
14 20218
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 20237
17 20177
18 20197
19 20197
20 20236

About Eijiro MAEDA

Eijiro MAEDA is a scholar working on Orthopedics and Sports Medicine, Cell Biology, Surgery, Biomedical Engineering and Biomaterials, having authored 41 papers that have together received 687 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (22 papers), Cellular Mechanics and Interactions (15 papers), Sports injuries and prevention (9 papers), Orthopedic Surgery and Rehabilitation (5 papers), 3D Printing in Biomedical Research (5 papers), Knee injuries and reconstruction techniques (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (245 citations), Cellular and Molecular Neuroscience (247 citations), Cognitive Neuroscience (227 citations), Cell Biology (117 citations) and Equine (6 citations). Eijiro MAEDA has collaborated with scholars based in Japan, United Kingdom and Malaysia. Frequent co-authors include Akio Kawana, Toshiro OHASHI, David A. Lee, Dan L. Bader, Julia C. Shelton, Takeo MATSUMOTΟ, Megumi Sugimoto, James H‐C. Wang, Jeonghyun Kim 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, Biomechanics and Modeling in Mechanobiology and Scientific Reports.

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.

Explore authors with similar magnitude of impact