Seiji Yoshida
- Molecular Biology
- Computational Mechanics top 5%
- Aerospace Engineering top 5%
- Plant Science top 10%
- Immunology
- Co-authors
- Mihoko SetoguchiShin’ichiro AkizukiYasunori HiguchiS. YamamotoShigeru TachibanaNobuyoshi NasuHiroshi TsumuraHiroshi Gotoda
- Topics
- Combustion and flame dynamics (24 papers)Advanced Thermodynamic Systems and Engines (17 papers)Advanced Combustion Engine Technologies (15 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Seiji Yoshida
135 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 149
- Molecular Biology 503
- Computational Mechanics 270
- Aerospace Engineering 230
- Plant Science 228
- Immunology 178
Countries citing papers authored by Seiji Yoshida
This map shows the geographic impact of Seiji Yoshida'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 Seiji Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Yoshida more than expected).
Fields of papers citing papers by Seiji Yoshida
This network shows the impact of papers produced by Seiji Yoshida. 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 Seiji Yoshida. The network helps show where Seiji Yoshida may publish in the future.
Co-authorship network of co-authors of Seiji Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Yoshida. A scholar is included among the top collaborators of Seiji Yoshida 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 Seiji Yoshida. Seiji Yoshida 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 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | Effects of digital picture books on mental engagement in young children | 2 |
| 12 | Performance Evaluation of 10G-EPON Prototype System with Frequency and Time Synchronization Functions | 1 |
| 13 | Protective effects of ethylene and salicylic acid against ozone exposure in Arabidopsis | 1 |
| 14 | 77 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 29 | |
| 20 | 1 |
About Seiji Yoshida
Seiji Yoshida is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Astronomy and Astrophysics, having authored 147 papers that have together received 1.9k indexed citations. Recurring topics across this work include Combustion and flame dynamics (24 papers), Advanced Thermodynamic Systems and Engines (17 papers) and Advanced Combustion Engine Technologies (15 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (169 citations), Immunology and Allergy (89 citations) and Computational Mechanics (270 citations). Seiji Yoshida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mihoko Setoguchi, Shin’ichiro Akizuki, Yasunori Higuchi, S. Yamamoto, Shigeru Tachibana, Nobuyoshi Nasu, Hiroshi Tsumura, Hiroshi Gotoda, Yasuhiro Date and Jun Kikuchi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Applied Physics.
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.