Shoichi Date
Impact in
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 5
- Cancer Cells and Metastasis 4
- Drug Transport and Resistance Mechanisms 1
- Colorectal Cancer Surgical Treatments 1
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- Renal and related cancers 1
- Cancer-related gene regulation 1
- Co-authors
- Toshiro Sato (5 shared papers)Yuki Ohta (4 shared papers)Mariko Shimokawa (4 shared papers)Mami Matano (4 shared papers)Masayuki Fujii (4 shared papers)Takanori Kanai∥ (4 shared papers)Ai Takano (3 shared papers)Toshiaki Watanabe (1 shared paper)
- Journals
- Cell stem cell (2 papers)Nature Medicine (1 paper)Xenobiotica (1 paper)Annual Review of Cell and Developmental Biology (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- Japan
In The Last Decade
Shoichi Date
8 papers receiving 2.3k citations
Shoichi Date's Hit Papers
Peers
Comparison fields: 5 of 86
- Oncology 1.4k
- Cancer Research 494
- Biotechnology 169
- Molecular Biology 1.0k
- Hepatology 103
Countries citing papers authored by Shoichi Date
This map shows the geographic impact of Shoichi Date'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 Shoichi Date with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoichi Date more than expected).
Fields of papers citing papers by Shoichi Date
This network shows the impact of papers produced by Shoichi Date. 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 Shoichi Date. The network helps show where Shoichi Date may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoichi Date, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Modeling colorectal cancer using CRISPR-Cas9–mediated engineering of human intestinal organoids Hit paper breakdown → | 2015 | 861 |
| 2 | A Colorectal Tumor Organoid Library Demonstrates Progressive Loss of Niche Factor Requirements during Tumorigenesis Hit paper breakdown → | 2016 | 612 |
| 3 | Visualization and targeting of LGR5+ human colon cancer stem cells Hit paper breakdown → | 2017 | 542 |
| 4 | 2017 | 149 | |
| 5 | 2015 | 149 | |
| 6 | 2004 | 19 | |
| 7 | 2012 | 8 | |
| 8 | 2010 | 6 |
About Shoichi Date
Shoichi Date is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 8 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Digestive system and related health (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Renal and related cancers (1 paper), Colorectal Cancer Surgical Treatments (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (494 citations), Biotechnology (169 citations), Molecular Biology (1.0k citations) and Hepatology (103 citations). Shoichi Date has collaborated with scholars based in Japan. Frequent co-authors include Toshiro Sato, Yuki Ohta, Mariko Shimokawa, Mami Matano, Masayuki Fujii, Takanori Kanai∥, Ai Takano, Toshiaki Watanabe, Shingo Nishikori and Shinya Sugimoto. Their work appears in journals such as Cell stem cell, Nature Medicine, Xenobiotica, Annual Review of Cell and Developmental Biology and International Journal of Molecular Medicine.
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.