Takuma Shikata
- Molecular Biology
- Oncology
- Cancer Research
- Pathology and Forensic Medicine
- Pulmonary and Respiratory Medicine
- Co-authors
- Hajime HosoiMichael B. DillingPeter J. HoughtonRobert T. AbrahamLili ShuRichard A. AshmunGlen S. GermainShile Huang
- Topics
- Neuroblastoma Research and Treatments (5 papers)Cancer therapeutics and mechanisms (3 papers)interferon and immune responses (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Takuma Shikata
10 papers receiving 607 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 457
- Oncology 154
- Cancer Research 85
- Pathology and Forensic Medicine 66
- Pulmonary and Respiratory Medicine 66
Countries citing papers authored by Takuma Shikata
This map shows the geographic impact of Takuma Shikata'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 Takuma Shikata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Shikata more than expected).
Fields of papers citing papers by Takuma Shikata
This network shows the impact of papers produced by Takuma Shikata. 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 Takuma Shikata. The network helps show where Takuma Shikata may publish in the future.
Co-authorship network of co-authors of Takuma Shikata
This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Shikata. A scholar is included among the top collaborators of Takuma Shikata 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 Takuma Shikata. Takuma Shikata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | p53/p21(CIP1) cooperate in enforcing rapamycin-induced G(1) arrest and determine the cellular response to rapamycin. | 110 |
| 2 | Establishment and characterization of a cisplatin-resistant human neuroblastoma cell line. | 14 |
| 3 | 12 | |
| 4 | N-Myc induction stimulated by insulin-like growth factor I through mitogen-activated protein kinase signaling pathway in human neuroblastoma cells. | 38 |
| 5 | 1 | |
| 6 | Rapamycin causes poorly reversible inhibition of mTOR and induces p53-independent apoptosis in human rhabdomyosarcoma cells. | 257 |
| 7 | 157 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | 7 |
About Takuma Shikata
Takuma Shikata is a scholar working on Neurology, Toxicology and Cancer Research, having authored 10 papers that have together received 620 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (5 papers), Cancer therapeutics and mechanisms (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Transplantation (20 citations), Molecular Biology (457 citations) and Cancer Research (85 citations). Takuma Shikata has collaborated with scholars based in Japan and United States. Frequent co-authors include Hajime Hosoi, Michael B. Dilling, Peter J. Houghton, Robert T. Abraham, Lili Shu, Richard A. Ashmun, Glen S. Germain, Peter J. Houghton, Shile Huang and John C. Lawrence. Their work appears in journals such as Molecular Pharmacology, Acta Paediatrica and Child s Nervous System.
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.