Ai Shima
Impact in
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- Additive Manufacturing and 3D Printing Technologies
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- Neurogenetic and Muscular Disorders Research
Papers in
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- Muscle Physiology and Disorders 7
- RNA Research and Splicing 2
- RNA modifications and cancer 2
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- 3D Printing in Biomedical Research 9
- Co-authors
- Shoji Takeuchi (11 shared papers)Yuya Morimoto (4 shared papers)Hiroshi Ishikawa (1 shared paper)H. Lee Sweeney (4 shared papers)Ryoichi Matsuda (3 shared papers)Sean C. Forbes (1 shared paper)Jennifer Pham (1 shared paper)Elisabeth R. Barton (1 shared paper)
- Journals
- Experimental Cell Research (2 papers)Food Bioscience (1 paper)Scientific Reports (1 paper)In Vitro Cellular & Developmental Biology - Animal (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Ai Shima
18 papers receiving 323 citations
Peers
Comparison fields: 5 of 65
- Automotive Engineering 53
- Genetics 46
- Animal Science and Zoology 43
- Biomaterials 37
- Biomedical Engineering 118
Countries citing papers authored by Ai Shima
This map shows the geographic impact of Ai Shima'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 Ai Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Shima more than expected).
Fields of papers citing papers by Ai Shima
This network shows the impact of papers produced by Ai Shima. 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 Ai Shima. The network helps show where Ai Shima may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai Shima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 116 | |
| 2 | 2016 | 29 | |
| 3 | 2010 | 27 | |
| 4 | 2018 | 23 | |
| 5 | 2015 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2015 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2008 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Ai Shima
Ai Shima is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Automotive Engineering and Genetics, having authored 20 papers that have together received 327 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (9 papers), Muscle Physiology and Disorders (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), RNA Research and Splicing (2 papers), Adipose Tissue and Metabolism (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Automotive Engineering (53 citations), Genetics (46 citations), Animal Science and Zoology (43 citations), Biomaterials (37 citations) and Biomedical Engineering (118 citations). Ai Shima has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Shoji Takeuchi, Yuya Morimoto, Hiroshi Ishikawa, H. Lee Sweeney, Ryoichi Matsuda, Sean C. Forbes, Jennifer Pham, Elisabeth R. Barton, Margaret M. Sleeper and Glenn A. Walter. Their work appears in journals such as Experimental Cell Research, Food Bioscience, Scientific Reports, In Vitro Cellular & Developmental Biology - Animal and Journal of the American Heart Association.
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.