Takuichiro Hide
- Oncology top 0.5%
- Molecular Biology top 2%
- Genetics top 0.2%
- Cancer Research top 0.5%
- Immunology top 5%
- Co-authors
- Sheila K. SinghPeter B. DirksIan D. ClarkeMichael D. CusimanoJane BayaniR. Mark HenkelmanJeremy A. SquireCynthia Hawkins
- Topics
- Glioma Diagnosis and Treatment (21 papers)Meningioma and schwannoma management (19 papers)Pituitary Gland Disorders and Treatments (13 papers)
- Cited by
- GeneticsOncologyCancer Research
- Journals
- NatureThe LancetSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Takuichiro Hide
80 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Oncology 4.0k
- Molecular Biology 3.7k
- Genetics 2.2k
- Cancer Research 2.0k
- Immunology 700
Countries citing papers authored by Takuichiro Hide
This map shows the geographic impact of Takuichiro Hide'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 Takuichiro Hide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuichiro Hide more than expected).
Fields of papers citing papers by Takuichiro Hide
This network shows the impact of papers produced by Takuichiro Hide. 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 Takuichiro Hide. The network helps show where Takuichiro Hide may publish in the future.
Co-authorship network of co-authors of Takuichiro Hide
This figure shows the co-authorship network connecting the top 25 collaborators of Takuichiro Hide. A scholar is included among the top collaborators of Takuichiro Hide 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 Takuichiro Hide. Takuichiro Hide 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 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 5 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 92 | |
| 17 | 8 | |
| 18 | 92 | |
| 19 | Cancer stem cells in nervous system tumorsbreakdown → | 528 |
| 20 | Identification of human brain tumour initiating cellsbreakdown → | 5766 |
About Takuichiro Hide
Takuichiro Hide is a scholar working on Genetics, Neurology and Endocrinology, Diabetes and Metabolism, having authored 82 papers that have together received 7.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Meningioma and schwannoma management (19 papers) and Pituitary Gland Disorders and Treatments (13 papers). The work is most often cited by research in Genetics (2.2k citations), Oncology (4.0k citations) and Cancer Research (2.0k citations). Takuichiro Hide has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Sheila K. Singh, Peter B. Dirks, Ian D. Clarke, Michael D. Cusimano, Jane Bayani, R. Mark Henkelman, Jeremy A. Squire, Cynthia Hawkins, Shigetoshi Yano and Hideo Nakamura. Their work appears in journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.
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.