Seiichi Ikeda
Impact in
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- 3D Printing in Biomedical Research
- Anatomy and Medical Technology
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- 3D Printing in Biomedical Research 8
- Anatomy and Medical Technology 7
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- Cerebrovascular and Carotid Artery Diseases 20
- Co-authors
- Toshio Fukuda (49 shared papers)Fumihito Arai (40 shared papers)Makoto Negoro (41 shared papers)Keiko Irie (8 shared papers)Bijan Shirinzadeh (2 shared papers)Ikuo Takahashi (19 shared papers)Adriano Cavalcanti (2 shared papers)Chaoyang Shi (9 shared papers)
In The Last Decade
Seiichi Ikeda
58 papers receiving 509 citations
Peers
Comparison fields: 5 of 76
- Biomedical Engineering 313
- Biomaterials 87
- Neurology 81
- Surgery 220
- Condensed Matter Physics 54
Countries citing papers authored by Seiichi Ikeda
This map shows the geographic impact of Seiichi Ikeda'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 Seiichi Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Ikeda more than expected).
Fields of papers citing papers by Seiichi Ikeda
This network shows the impact of papers produced by Seiichi Ikeda. 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 Seiichi Ikeda. The network helps show where Seiichi Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiichi Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 48 | |
| 2 | 2007 | 43 | |
| 3 | 2009 | 41 | |
| 4 | 2012 | 34 | |
| 5 | 2013 | 23 | |
| 6 | 2012 | 23 | |
| 7 | 2005 | 21 | |
| 8 | 2013 | 21 | |
| 9 | 2012 | 21 | |
| 10 | 2010 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2007 | 15 | |
| 13 | 2013 | 15 | |
| 14 | 2010 | 14 | |
| 15 | 1996 | 14 | |
| 16 | 1994 | 14 | |
| 17 | 2006 | 13 | |
| 18 | 2009 | 10 | |
| 19 | 1975 | 9 | |
| 20 | 2011 | 9 |
About Seiichi Ikeda
Seiichi Ikeda is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Surgery, Neurology and Biomaterials, having authored 61 papers that have together received 540 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (20 papers), Intracranial Aneurysms: Treatment and Complications (18 papers), Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (9 papers), Surgical Simulation and Training (9 papers), 3D Printing in Biomedical Research (8 papers), Anatomy and Medical Technology (7 papers) and Cardiovascular Health and Disease Prevention (6 papers). The work is most often cited by research in Biomedical Engineering (313 citations), Biomaterials (87 citations), Neurology (81 citations), Surgery (220 citations) and Condensed Matter Physics (54 citations). Seiichi Ikeda has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Toshio Fukuda, Fumihito Arai, Makoto Negoro, Keiko Irie, Bijan Shirinzadeh, Ikuo Takahashi, Adriano Cavalcanti, Chaoyang Shi, Tomoyuki Uchida and Takehisa Matsuda. Their work appears in journals such as Journal of the Japan Institute of Metals and Materials, Japanese Journal of Applied Physics, Journal of Biotechnology, Biomicrofluidics and Advanced Robotics.
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.