Junji Ito
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Biotechnology top 2%
- Marine Sponges and Natural Products
Papers in
-
- Neural dynamics and brain function 22
- Visual perception and processing mechanisms 10
- EEG and Brain-Computer Interfaces 8
- Functional Brain Connectivity Studies 5
- Surgery 14
- Co-authors
- Sonja Grün (15 shared papers)Pedro Maldonado (7 shared papers)Akihiko Kondo (7 shared papers)Mitsuyoshi Ueda (4 shared papers)Hideki Fukuda (6 shared papers)Kunihiko Kaneko (3 shared papers)Andrey R. Nikolaev (5 shared papers)Cees van Leeuwen (4 shared papers)
In The Last Decade
Junji Ito
99 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 159
- Cognitive Neuroscience 732
- Biotechnology 309
- Sensory Systems 90
- Microbiology 12
- Cellular and Molecular Neuroscience 201
Countries citing papers authored by Junji Ito
This map shows the geographic impact of Junji Ito'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 Junji Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Ito more than expected).
Fields of papers citing papers by Junji Ito
This network shows the impact of papers produced by Junji Ito. 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 Junji Ito. The network helps show where Junji Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Junji Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 282 | |
| 2 | 2013 | 265 | |
| 3 | 2014 | 187 | |
| 4 | 2005 | 156 | |
| 5 | 2001 | 103 | |
| 6 | 2011 | 99 | |
| 7 | 2008 | 86 | |
| 8 | 2004 | 80 | |
| 9 | 2007 | 52 | |
| 10 | 2007 | 51 | |
| 11 | 2000 | 49 | |
| 12 | 2009 | 47 | |
| 13 | 2008 | 47 | |
| 14 | 2009 | 44 | |
| 15 | 2003 | 41 | |
| 16 | 1998 | 41 | |
| 17 | 2005 | 38 | |
| 18 | Metagonimus and other human heterophyid trematodes | 1964 | 37 |
| 19 | 2003 | 36 | |
| 20 | 2003 | 36 |
About Junji Ito
Junji Ito is a scholar working on Cognitive Neuroscience, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Organic Chemistry, having authored 113 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), Visual perception and processing mechanisms (10 papers), EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Marine Sponges and Natural Products (5 papers), Advanced Radiotherapy Techniques (5 papers), Functional Brain Connectivity Studies (5 papers) and Head and Neck Cancer Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (732 citations), Biotechnology (309 citations), Sensory Systems (90 citations), Microbiology (12 citations) and Cellular and Molecular Neuroscience (201 citations). Junji Ito has collaborated with scholars based in Japan, Germany and Chile. Frequent co-authors include Sonja Grün, Pedro Maldonado, Akihiko Kondo, Mitsuyoshi Ueda, Hideki Fukuda, Kunihiko Kaneko, Andrey R. Nikolaev, Cees van Leeuwen, Yasuya Fujita and Yuzuru Mikami. Their work appears in journals such as Scientific Reports, Journal of Radiation Research, BMC Neuroscience, Applied Microbiology and Biotechnology and Tetrahedron.
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.