Teruo Fujii
- Biomedical Engineering top 0.2%
- Molecular Biology top 5%
- Electrical and Electronic Engineering top 2%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Yasuyuki SakaiYannick RondelezHiroshi KimuraTakatoki YamamotoÉric LeclercIsao EndoAdrien PadiracShohei Kaneda
- Topics
- Microfluidic and Capillary Electrophoresis Applications (96 papers)3D Printing in Biomedical Research (81 papers)Microfluidic and Bio-sensing Technologies (73 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanFranceUnited States
In The Last Decade
Teruo Fujii
305 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 166
- Biomedical Engineering 5.0k
- Molecular Biology 2.1k
- Electrical and Electronic Engineering 1.5k
- Surgery 542
- Cellular and Molecular Neuroscience 525
Countries citing papers authored by Teruo Fujii
This map shows the geographic impact of Teruo Fujii'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 Teruo Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruo Fujii more than expected).
Fields of papers citing papers by Teruo Fujii
This network shows the impact of papers produced by Teruo Fujii. 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 Teruo Fujii. The network helps show where Teruo Fujii may publish in the future.
Co-authorship network of co-authors of Teruo Fujii
This figure shows the co-authorship network connecting the top 25 collaborators of Teruo Fujii. A scholar is included among the top collaborators of Teruo Fujii 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 Teruo Fujii. Teruo Fujii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 20 | |
| 9 | 0 | |
| 10 | MEASUREMENT OF THREE DIMENSIONAL FLOW STRUCTURE DURING MICRODROPLET FORMATION USING PHASE-LOCKED MULTICOLOR CONFOCAL MICRO-PIV | 0 |
| 11 | 15 | |
| 12 | 23 | |
| 13 | 1 | |
| 14 | 43 | |
| 15 | 4 | |
| 16 | 3-D micro-PIV measurement of microchannel flow using high-speed confocal scanning microscopy | 1 |
| 17 | 9 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | DNA Separation using a PDMS (Polydimethylsiloxane)-based Electrophoresis Device | 1 |
About Teruo Fujii
Teruo Fujii is a scholar working on Biomedical Engineering, Bioengineering and Hepatology, having authored 325 papers that have together received 7.9k indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (96 papers), 3D Printing in Biomedical Research (81 papers) and Microfluidic and Bio-sensing Technologies (73 papers). The work is most often cited by research in Biomedical Engineering (5.0k citations), Bioengineering (266 citations) and Hepatology (338 citations). Teruo Fujii has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Yasuyuki Sakai, Yannick Rondelez, Hiroshi Kimura, Yasuyuki Sakai, Takatoki Yamamoto, Éric Leclerc, Isao Endo, Adrien Padirac, Shohei Kaneda and Hiroyuki Fujita. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.