Shinji Ito
- Molecular Biology
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- Shinji NaganawaShingo IwanoKatsuhiko KatoTatsuro MutohNaoya AsaiHideki MurakamiToshihide IwashitaRintaro Ito
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)Parkinson's Disease Mechanisms and Treatments (9 papers)Nerve injury and regeneration (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Cell BiologyJournal of Applied Physics
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shinji Ito
111 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 455
- Neurology 442
- Radiology, Nuclear Medicine and Imaging 365
- Pulmonary and Respiratory Medicine 289
- Surgery 277
Countries citing papers authored by Shinji Ito
This map shows the geographic impact of Shinji 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 Shinji Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinji Ito more than expected).
Fields of papers citing papers by Shinji Ito
This network shows the impact of papers produced by Shinji 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 Shinji Ito. The network helps show where Shinji Ito may publish in the future.
Co-authorship network of co-authors of Shinji Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Shinji Ito. A scholar is included among the top collaborators of Shinji Ito 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 Shinji Ito. Shinji Ito 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 | 5 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 60 | |
| 10 | 9 | |
| 11 | 33 | |
| 12 | 18 | |
| 13 | 31 | |
| 14 | 20 | |
| 15 | 48 | |
| 16 | 22 | |
| 17 | 42 | |
| 18 | 104 | |
| 19 | 13 | |
| 20 | Formaldehyde-glutaraldehyde fixatives containing tri nitro compounds | 252 |
About Shinji Ito
Shinji Ito is a scholar working on Neurology, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 118 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Nerve injury and regeneration (7 papers). The work is most often cited by research in Neurology (442 citations), Radiology, Nuclear Medicine and Imaging (365 citations) and Endocrinology, Diabetes and Metabolism (250 citations). Shinji Ito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shinji Naganawa, Shingo Iwano, Katsuhiko Kato, Tatsuro Mutoh, Naoya Asai, Hideki Murakami, Toshihide Iwashita, Rintaro Ito, Akihiro Ueda and Shigeo Murayama. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology 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.