Daiki Murata

855 citations
31 papers · 640 · h-index 13

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 8
    • Total Knee Arthroplasty Outcomes 2
    • Osteoarthritis Treatment and Mechanisms 11

Daiki Murata

27 papers receiving 632 citations

Peers

Daiki Murata
Comparison fields: 5 of 65
  • Equine 22
  • Genetics 128
  • Automotive Engineering 139
  • Urology 62
  • Rheumatology 149
Replace Christopher G. Wilson with:
Christopher G. Wilson United States
Zhiyao Liao China
D. Stanco Italy
Niamh Fahy Netherlands
Chao Ning China
Sevan R. Oungoulian United States
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Seung Hyun Choi South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Daiki Murata

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018121
2 202075
3 201567
4 202156
5 201843
6 201438
7 202036
8 201731
9 202030
10 202027
11 202022
12 202216
13 201215
14 20229
15 20168
16 20177
17 20236
18 20166
19 20215
20 20255

About Daiki Murata

Daiki Murata is a scholar working on Surgery, Rheumatology, Genetics, Urology and Biomedical Engineering, having authored 31 papers that have together received 640 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (11 papers), Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (8 papers), 3D Printing in Biomedical Research (7 papers), Periodontal Regeneration and Treatments (7 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Pluripotent Stem Cells Research (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Equine (22 citations), Genetics (128 citations), Automotive Engineering (139 citations), Urology (62 citations) and Rheumatology (149 citations). Daiki Murata has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Koichi Nakayama, Kazuhiro MISUMI, Anna Nakamura, Ken‐ichi Arai, M. Itoh, Makoto FUJIKI, Ryota Fujimoto, Shigeki Morita, Ana Raquel Verissimo and Satoshi Tokunaga. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, PLoS ONE, Japanese Journal of Applied Physics, Biofabrication and Frontiers in Bioscience-Landmark.

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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