Hideshi Ishii
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Oncology top 0.5%
- Genetics top 1%
- Surgery top 5%
- Co-authors
- Masaki MoriYuichiro� DokiKoshi MimoriMasamitsu KonnoCarlo M. CroceFumiaki TanakaNaotsugu HaraguchiHirofumi Yamamoto
- Topics
- Epigenetics and DNA Methylation (43 papers)Cancer Cells and Metastasis (42 papers)RNA modifications and cancer (31 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hideshi Ishii
241 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 7.4k
- Cancer Research 3.7k
- Oncology 2.8k
- Genetics 1.2k
- Surgery 865
Countries citing papers authored by Hideshi Ishii
This map shows the geographic impact of Hideshi Ishii'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 Hideshi Ishii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideshi Ishii more than expected).
Fields of papers citing papers by Hideshi Ishii
This network shows the impact of papers produced by Hideshi Ishii. 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 Hideshi Ishii. The network helps show where Hideshi Ishii may publish in the future.
Co-authorship network of co-authors of Hideshi Ishii
This figure shows the co-authorship network connecting the top 25 collaborators of Hideshi Ishii. A scholar is included among the top collaborators of Hideshi Ishii 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 Hideshi Ishii. Hideshi Ishii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 51 | |
| 8 | 22 | |
| 9 | 61 | |
| 10 | 64 | |
| 11 | 141 | |
| 12 | 215 | |
| 13 | CD13 is a therapeutic target in human liver cancer stem cellsbreakdown → | 501 |
| 14 | 126 | |
| 15 | 14 | |
| 16 | 31 | |
| 17 | Expression of FRA16D/WWOX and FRA3B/FHIT genes in hematopoietic malignancies. | 59 |
| 18 | Restoration of fragile histidine triad (FHIT) expression induces apoptosis and suppresses tumorigenicity in breast cancer cell lines. | 62 |
| 19 | Fragile histidine triad expression delays tumor development and induces apoptosis in human pancreatic cancer. | 89 |
| 20 | Effect of adenoviral transduction of the fragile histidine triad gene into esophageal cancer cells. | 87 |
About Hideshi Ishii
Hideshi Ishii is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 248 papers that have together received 10.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (43 papers), Cancer Cells and Metastasis (42 papers) and RNA modifications and cancer (31 papers). The work is most often cited by research in Cancer Research (3.7k citations), Molecular Biology (7.4k citations) and Oncology (2.8k citations). Hideshi Ishii has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masaki Mori, Yuichiro� Doki, Koshi Mimori, Masamitsu Konno, Carlo M. Croce, Fumiaki Tanaka, Naotsugu Haraguchi, Hirofumi Yamamoto, Naohiro Nishida and Hiroaki Nagano. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.