Shigeru Tada
- Biomedical Engineering
- Surgery
- Computational Mechanics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- John M. TarbellHideo YoshidaR. EchigoKoichi IchimiyaAkira TsukamotoRyuichiro YAMANEMakoto YanagawaCheng Dong
- Topics
- Microfluidic and Bio-sensing Technologies (15 papers)Microfluidic and Capillary Electrophoresis Applications (10 papers)Cardiovascular Health and Disease Prevention (9 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsScientific Reports
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Shigeru Tada
60 papers receiving 770 citations
Peers
Comparison fields: 5 of 119
- Biomedical Engineering 209
- Surgery 187
- Computational Mechanics 185
- Cardiology and Cardiovascular Medicine 151
- Pulmonary and Respiratory Medicine 139
Countries citing papers authored by Shigeru Tada
This map shows the geographic impact of Shigeru Tada'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 Shigeru Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Tada more than expected).
Fields of papers citing papers by Shigeru Tada
This network shows the impact of papers produced by Shigeru Tada. 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 Shigeru Tada. The network helps show where Shigeru Tada may publish in the future.
Co-authorship network of co-authors of Shigeru Tada
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Tada. A scholar is included among the top collaborators of Shigeru Tada 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 Shigeru Tada. Shigeru Tada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 15 | |
| 10 | 29 | |
| 11 | 75 | |
| 12 | 55 | |
| 13 | 24 | |
| 14 | 35 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 12 |
About Shigeru Tada
Shigeru Tada is a scholar working on Physiology, Biotechnology and Fluid Flow and Transfer Processes, having authored 66 papers that have together received 790 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (15 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Cardiovascular Health and Disease Prevention (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (75 citations), Computational Mechanics (185 citations) and Cardiology and Cardiovascular Medicine (151 citations). Shigeru Tada has collaborated with scholars based in Japan, United States and India. Frequent co-authors include John M. Tarbell, Hideo Yoshida, R. Echigo, Koichi Ichimiya, Akira Tsukamoto, Ryuichiro YAMANE, Makoto Yanagawa, Cheng Dong, Itsuo Yamamoto and Arata Ichiyama. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.
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.