Wataru Ukai
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Sociology and Political Science top 10%
- Developmental Neuroscience top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Toshikazu SaitoEri HashimotoMasaru TatenoTakahiro A. KatoJunichiro KanazawaHiroaki KuboAlan R. TeoRyoko Katsuki
- Topics
- Neurogenesis and neuroplasticity mechanisms (15 papers)Neuroscience and Neuropharmacology Research (9 papers)Nerve injury and regeneration (8 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Wataru Ukai
49 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 422
- Cellular and Molecular Neuroscience 285
- Sociology and Political Science 183
- Developmental Neuroscience 165
- Pediatrics, Perinatology and Child Health 146
Countries citing papers authored by Wataru Ukai
This map shows the geographic impact of Wataru Ukai'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 Wataru Ukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wataru Ukai more than expected).
Fields of papers citing papers by Wataru Ukai
This network shows the impact of papers produced by Wataru Ukai. 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 Wataru Ukai. The network helps show where Wataru Ukai may publish in the future.
Co-authorship network of co-authors of Wataru Ukai
This figure shows the co-authorship network connecting the top 25 collaborators of Wataru Ukai. A scholar is included among the top collaborators of Wataru Ukai 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 Wataru Ukai. Wataru Ukai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | Internet Addiction, Smartphone Addiction, and Hikikomori Trait in Japanese Young Adult: Social Isolation and Social Networkbreakdown → | 237 |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | The common aspects of pathophysiolgy of alcoholism and depression. | 6 |
| 8 | 13 | |
| 9 | [Epigenetic regulation in alcohol-related brain damage]. | 10 |
| 10 | [Neural network abnormalities caused by alcohol: approach for repair using neural stem cells]. | 1 |
| 11 | 36 | |
| 12 | 31 | |
| 13 | 16 | |
| 14 | 44 | |
| 15 | 36 | |
| 16 | 43 | |
| 17 | 95 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 3 |
About Wataru Ukai
Wataru Ukai is a scholar working on Developmental Neuroscience, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (15 papers), Neuroscience and Neuropharmacology Research (9 papers) and Nerve injury and regeneration (8 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Developmental Neuroscience (165 citations) and Behavioral Neuroscience (58 citations). Wataru Ukai has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshikazu Saito, Eri Hashimoto, Masaru Tateno, Takahiro A. Kato, Junichiro Kanazawa, Hiroaki Kubo, Alan R. Teo, Ryoko Katsuki, Hiroshi Ikeda and Megumi Yamamoto. Their work appears in journals such as PLoS ONE, Genome Research and Journal of Affective Disorders.
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.