Seiichi Ikeda

732 total citations
61 papers, 540 citations indexed

About

Seiichi Ikeda is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Seiichi Ikeda has authored 61 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 24 papers in Pulmonary and Respiratory Medicine and 22 papers in Surgery. Recurrent topics in Seiichi Ikeda's work include Cerebrovascular and Carotid Artery Diseases (20 papers), Intracranial Aneurysms: Treatment and Complications (18 papers) and Electrospun Nanofibers in Biomedical Applications (12 papers). Seiichi Ikeda is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (20 papers), Intracranial Aneurysms: Treatment and Complications (18 papers) and Electrospun Nanofibers in Biomedical Applications (12 papers). Seiichi Ikeda collaborates with scholars based in Japan, Australia and China. Seiichi Ikeda's co-authors include Toshio Fukuda, Fumihito Arai, Makoto Negoro, Keiko Irie, Ikuo Takahashi, Adriano Cavalcanti, Bijan Shirinzadeh, Chaoyang Shi, Tomoyuki Uchida and Takehisa Matsuda and has published in prestigious journals such as The International Journal of Robotics Research, Japanese Journal of Applied Physics and Journal of Biotechnology.

In The Last Decade

Seiichi Ikeda

58 papers receiving 509 citations

Peers

Seiichi Ikeda

SURGE

PRM

BIOMA

NEURO

Jun Okamoto Japan

Mohamed E. M. K. Abdelaziz United Kingdom

Sang‐Eun Song United States

Christophe Chautems Switzerland

Henry W. Haslach United States

Ang Chen China

Borhan Beigzadeh Iran

P.A.J. Ackermans Netherlands

Simon Chatelin France

Zurab Machaidze United States

Jun Okamoto Japan

Seiichi Ikeda

250 ×0.8

103 ×0.5

SURGE

49 ×0.4

PRM

42 ×0.5

BIOMA

28 ×0.3

NEURO

Citations per year, relative to Seiichi Ikeda Seiichi Ikeda (= 1×) peers Jun Okamoto

Countries citing papers authored by Seiichi Ikeda

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Seiichi Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Ikeda. A scholar is included among the top collaborators of Seiichi Ikeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seiichi Ikeda. Seiichi Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hu, Chengzhi, Seiichi Ikeda, Masahiro Nakajima, et al.. (2013). Biodegradable porous sheet-like scaffolds for soft-tissue engineering using a combined particulate leaching of salt particles and magnetic sugar particles. Journal of Bioscience and Bioengineering. 116(1). 126–131. 23 indexed citations

Hu, Chengzhi, Tomoyuki Uchida, Seiichi Ikeda, et al.. (2012). Development of biodegradable scaffolds based on magnetically guided assembly of magnetic sugar particles. Journal of Biotechnology. 159(1-2). 90–98. 23 indexed citations

Shi, Chaoyang, Seiichi Ikeda, Toshio Fukuda, et al.. (2012). Technical skills measurement based on a cyber‐physical system for endovascular surgery simulation. International Journal of Medical Robotics and Computer Assisted Surgery. 9(3). e25–33. 34 indexed citations

Ikeda, Seiichi, et al.. (2010). Image Processing for Sensing Guide Wire Behaviour during Endovascular Surgery Simulation. 2. 1–6. 5 indexed citations

Yoshida, Keisuke, Yu Sawada, Seiichi Ikeda, et al.. (2010). Multiscale fabrication of a transparent circulation type blood vessel simulator. Biomicrofluidics. 4(4). 46505–46505. 14 indexed citations

Fukuda, Toshio, et al.. (2010). Social impact of in-vitro endovascular surgery simulation technology. 3. 142–147.

Ikeda, Seiichi, et al.. (2009). Human Blood Pressure Simulation for Stress Analysis in Model of Vasculature Using Photoelastic Effect. International Journal of Automation Technology. 3(5). 533–540. 10 indexed citations

Uchida, Tomoyuki, Seiichi Ikeda, Fumihito Arai, et al.. (2009). Development of biodegradable scaffolds by leaching self-assembled magnetic sugar particles. 295. 356–361. 2 indexed citations

Ikeda, Seiichi, Toshio Fukuda, Yuta Okada, et al.. (2008). Patient-Specific IVR Endovascular Simulator with Augmented Reality for Medical Training and Robot Evaluation. Journal of Robotics and Mechatronics. 20(3). 441–448. 8 indexed citations

10.

Ikeda, Seiichi, Toshio Fukuda, Kosuke Sekiyama, et al.. (2008). Robot Manipulation and Guidance Using Magnetic Motion Capture Sensor and a Rule-Based Controller. Journal of Robotics and Mechatronics. 20(1). 151–158. 5 indexed citations

11.

Yoshida, Keisuke, Seiichi Ikeda, Tomoyuki Uchida, et al.. (2008). 2P2-J17 Fabrication of Capillary Vessel Model with Circular Cross-Section and Applications. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2008(0). _2P2–J17_1. 2 indexed citations

12.

Cavalcanti, Adriano, Bijan Shirinzadeh, Toshio Fukuda, & Seiichi Ikeda. (2007). Hardware architecture for nanorobot application in cerebral aneurysm. 237–242. 15 indexed citations

13.

Uchida, Tomoyuki, Seiichi Ikeda, Mika Tada, et al.. (2007). Development of biodegradable scaffolds based on patient-specific arterial configuration. Journal of Biotechnology. 133(2). 213–218. 43 indexed citations

14.

Arai, Fumihito, Mika Tada, Yu‐Ching Lin, et al.. (2007). Fabrication of Cell-Adhesion Surface and Arteriole Model by Photolithography. Journal of Robotics and Mechatronics. 19(5). 535–543. 4 indexed citations

15.

Okada, Yuta, Seiichi Ikeda, Toshio Fukuda, et al.. (2007). Photoelastic Stress Analysis on Patient-Specific Anatomical Model of Cerebral Artery. 64. 538–543. 6 indexed citations

16.

Ikeda, Seiichi, Toshio Fukuda, Kosuke Sekiyama, et al.. (2007). Catheter insertion path reconstruction with autonomous system for endovascular surgery. 17. 398–403. 4 indexed citations

17.

Tada, Mika, Yu‐Ching Lin, Seiichi Ikeda, et al.. (2007). Fabrication of Cell-Adhesion Surface and Capillary Vessel Model by Photolithography. 130?131. 350–355. 2 indexed citations

18.

Ikeda, Seiichi, Fumihito Arai, Toshio Fukuda, et al.. (2005). An in vitro patient-tailored model of human cerebral artery for simulating endovascular intervention. Lecture notes in computer science. 925–932. 1 indexed citations

19.

Ikeda, Seiichi, Fumihito Arai, Toshio Fukuda, Makoto Negoro, & Keiko Irie. (2005). An In Vitro Patient-Specific Biological Model of the Cerebral Artery Reproduced with a Membranous Configuration for Simulating Endovascular Intervention. Journal of Robotics and Mechatronics. 17(3). 327–334. 48 indexed citations

20.

Ikeda, Seiichi, Fumihito Arai, Toshio Fukuda, et al.. (2005). An In Vitro Patient-Tailored Model of Human Cerebral Artery for Simulating Endovascular Intervention. Lecture notes in computer science. 8(Pt 1). 925–932. 21 indexed citations

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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