T. Ishikawa
- Topics
- Carcinogens and Genotoxicity Assessment (8 papers)DNA Repair Mechanisms (3 papers)Renal and related cancers (3 papers)
In The Last Decade
T. Ishikawa
28 papers receiving 874 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 568
- Cancer Research 213
- Oncology 125
- Physiology 112
- Genetics 100
Countries citing papers authored by T. Ishikawa
This map shows the geographic impact of T. Ishikawa'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 T. Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ishikawa more than expected).
Fields of papers citing papers by T. Ishikawa
This network shows the impact of papers produced by T. Ishikawa. 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 T. Ishikawa. The network helps show where T. Ishikawa may publish in the future.
Co-authorship network of co-authors of T. Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of T. Ishikawa. A scholar is included among the top collaborators of T. Ishikawa 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 T. Ishikawa. T. Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [A case of successful management of nonresectable pancreas cancer with liver metastasis by intra-arterial infusion chemotherapy with angiotensin-II and administration of tegafur/uracil]. | 2 |
| 2 | 13 | |
| 3 | Inhibition of skin cancer by IP6 in vivo: initiation-promotion model. | 45 |
| 4 | Methylnitrosourea-induced tumorigenesis in MGMT gene knockout mice. | 117 |
| 5 | 2 | |
| 6 | 307 | |
| 7 | neu proto-oncogene mutation is specific for the neurofibromas in a N-nitroso-N-ethylurea-induced hamster neurofibromatosis model but not for hamster melanomas and human Schwann cell tumors. | 19 |
| 8 | 126 | |
| 9 | 4 | |
| 10 | Proline-dependent expression of aryl hydrocarbon hydroxylase in C57BL/6 mouse hepatocytes in primary culture. | 28 |
| 11 | 16 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | Usefulness of the medaka, Oryzias latipes, as a test animal: DNA repair processes in medaka exposed to carcinogens. | 27 |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 18 | |
| 19 | 5 | |
| 20 | 26 |
About T. Ishikawa
T. Ishikawa is a scholar working on Cancer Research, Physiology and Pharmacology, having authored 28 papers that have together received 919 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (8 papers), DNA Repair Mechanisms (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Cancer Research (213 citations), Molecular Biology (568 citations) and Physiology (36 citations). T. Ishikawa has collaborated with scholars based in Japan and India. Frequent co-authors include H. Oda, Hiroki Kurihara, Koji Maemura, Yukiko Kurihara, R Nagai, Y Yazaki, Seiji Takayama, M Sekiguchi, Yoko Nakatsuru and Nobuo Nemoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and JNCI Journal of the National Cancer Institute.
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.