Toshio Iijima
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology top 10%
- Fluid Flow and Transfer Processes top 2%
- Computational Mechanics top 5%
- Co-authors
- Ken‐Ichiro TsutsuiTadao TakenoRiichi KajiwaraIchiro TakashimaMenno P. WitterMichinori IchikawaGen MatsumotoShinya Ohara
- Topics
- Neuroscience and Neuropharmacology Research (25 papers)Neural dynamics and brain function (21 papers)Memory and Neural Mechanisms (18 papers)
In The Last Decade
Toshio Iijima
101 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 156
- Cellular and Molecular Neuroscience 1.3k
- Cognitive Neuroscience 1.2k
- Molecular Biology 750
- Fluid Flow and Transfer Processes 219
- Computational Mechanics 216
Countries citing papers authored by Toshio Iijima
This map shows the geographic impact of Toshio Iijima'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 Toshio Iijima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Iijima more than expected).
Fields of papers citing papers by Toshio Iijima
This network shows the impact of papers produced by Toshio Iijima. 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 Toshio Iijima. The network helps show where Toshio Iijima may publish in the future.
Co-authorship network of co-authors of Toshio Iijima
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Iijima. A scholar is included among the top collaborators of Toshio Iijima 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 Toshio Iijima. Toshio Iijima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 11 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 27 | |
| 6 | 8 | |
| 7 | 61 | |
| 8 | 2 | |
| 9 | Responsibility of Control System of Engine Intake Valve with Linear Electromagnetic Actuator | 4 |
| 10 | 63 | |
| 11 | 41 | |
| 12 | 36 | |
| 13 | 33 | |
| 14 | 88 | |
| 15 | 30 | |
| 16 | An Abstraction of Functional Boundary Lines through Spatio-Time Pattern of Neural Activities. | 1 |
| 17 | 8 | |
| 18 | Effects of Temperature and Pressure on Burning Velocity | 2 |
| 19 | ANALYSIS OF COMBUSTION PATTERNS EFFECTIVE IN IMPROVING ANTI-KNOCK PERFORMANCE OF A SPARK IGNITION ENGINE | 16 |
| 20 | Local Analysis of the Stability of Liquid Capillary Jet | 1 |
About Toshio Iijima
Toshio Iijima is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and General Decision Sciences, having authored 107 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Neural dynamics and brain function (21 papers) and Memory and Neural Mechanisms (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (1.2k citations) and Sensory Systems (186 citations). Toshio Iijima has collaborated with scholars based in Japan, Poland and Norway. Frequent co-authors include Ken‐Ichiro Tsutsui, Tadao Takeno, Riichi Kajiwara, Ichiro Takashima, Menno P. Witter, Michinori Ichikawa, Gen Matsumoto, Shinya Ohara, Takashi Tominaga and Takao Sibaoka. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.