Toshihiko Tsukada
- Molecular Biology top 10%
- Immunology top 5%
- Oncology top 5%
- Epidemiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Naganari OhkuraKen YamaguchiHiroko YaguchiYuko NagamuraIssay KitabayashiShimon SakaguchiTakashi NomuraMasahiro Ono
- Topics
- Neuroendocrine Tumor Research Advances (21 papers)Nuclear Receptors and Signaling (16 papers)Neuroblastoma Research and Treatments (15 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Toshihiko Tsukada
99 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 927
- Immunology 866
- Oncology 577
- Epidemiology 565
- Cellular and Molecular Neuroscience 470
Countries citing papers authored by Toshihiko Tsukada
This map shows the geographic impact of Toshihiko Tsukada'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 Toshihiko Tsukada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiko Tsukada more than expected).
Fields of papers citing papers by Toshihiko Tsukada
This network shows the impact of papers produced by Toshihiko Tsukada. 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 Toshihiko Tsukada. The network helps show where Toshihiko Tsukada may publish in the future.
Co-authorship network of co-authors of Toshihiko Tsukada
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiko Tsukada. A scholar is included among the top collaborators of Toshihiko Tsukada 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 Toshihiko Tsukada. Toshihiko Tsukada 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 | 0 | |
| 3 | 9 | |
| 4 | 30 | |
| 5 | 4 | |
| 6 | Foxp3 controls regulatory T-cell function by interacting with AML1/Runx1breakdown → | 533 |
| 7 | [Case Report No.143: one case of multiple endosecretory-adenomatosis accompanied with ventricula ependymoma]. | 3 |
| 8 | 64 | |
| 9 | 53 | |
| 10 | 23 | |
| 11 | 48 | |
| 12 | 51 | |
| 13 | 65 | |
| 14 | Induction of β-galactosidase gene expression by extremely low frequency magnetic field in PCVG cells. | 0 |
| 15 | 28 | |
| 16 | 49 | |
| 17 | 18 | |
| 18 | 4 | |
| 19 | 22 | |
| 20 | 97 |
About Toshihiko Tsukada
Toshihiko Tsukada is a scholar working on Behavioral Neuroscience, Nephrology and Neurology, having authored 103 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (21 papers), Nuclear Receptors and Signaling (16 papers) and Neuroblastoma Research and Treatments (15 papers). The work is most often cited by research in Immunology (866 citations), Behavioral Neuroscience (136 citations) and Endocrine and Autonomic Systems (230 citations). Toshihiko Tsukada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Naganari Ohkura, Ken Yamaguchi, Hiroko Yaguchi, Yuko Nagamura, Issay Kitabayashi, Shimon Sakaguchi, Takashi Nomura, Masahiro Ono, Yoshiki Miyachi and Kouji Maruyama. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.