Shigenobu Toné
- Molecular Biology top 10%
- Biological Psychiatry top 0.5%
- Immunology top 10%
- Behavioral Neuroscience top 1%
- Oncology top 10%
- Co-authors
- Yohsuke MinatogawaKumiko SamejimaWilliam C. EarnshawOsamu TakikawaEmiko SenbaY. KawaiTakashi UeyamaMasashi Sekimoto
- Topics
- Tryptophan and brain disorders (14 papers)Stress Responses and Cortisol (11 papers)Cell death mechanisms and regulation (11 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shigenobu Toné
84 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.1k
- Biological Psychiatry 585
- Immunology 393
- Behavioral Neuroscience 391
- Oncology 267
Countries citing papers authored by Shigenobu Toné
This map shows the geographic impact of Shigenobu Toné'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 Shigenobu Toné with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigenobu Toné more than expected).
Fields of papers citing papers by Shigenobu Toné
This network shows the impact of papers produced by Shigenobu Toné. 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 Shigenobu Toné. The network helps show where Shigenobu Toné may publish in the future.
Co-authorship network of co-authors of Shigenobu Toné
This figure shows the co-authorship network connecting the top 25 collaborators of Shigenobu Toné. A scholar is included among the top collaborators of Shigenobu Toné 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 Shigenobu Toné. Shigenobu Toné 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 | First record of rejuvenation, formation of medusa buds, and the second rejuvenation of Turritopsis sp. (Hydrozoa, Anthomedusae) in artificial sea water without water currents | 1 |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 161 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 1 | |
| 13 | 86 | |
| 14 | 6 | |
| 15 | 114 | |
| 16 | 9 | |
| 17 | 48 | |
| 18 | Intrathymic selection of NK1.1+((( T cell antigen receptor (TCR)+ cells in transgenic mice bearing TCR specific for chicken ovalbumin and restricted to I-Ad. | 1 |
| 19 | 1 | |
| 20 | 256 |
About Shigenobu Toné
Shigenobu Toné is a scholar working on Biological Psychiatry, Structural Biology and Behavioral Neuroscience, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (14 papers), Stress Responses and Cortisol (11 papers) and Cell death mechanisms and regulation (11 papers). The work is most often cited by research in Biological Psychiatry (585 citations), Behavioral Neuroscience (391 citations) and Developmental Neuroscience (150 citations). Shigenobu Toné has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yohsuke Minatogawa, Kumiko Samejima, William C. Earnshaw, Osamu Takikawa, Emiko Senba, Y. Kawai, Takashi Ueyama, Masashi Sekimoto, Kiyomitsu Nemoto and Kunio Shinohara. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.
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.