H Ishikawa
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Co-authors
- Hiroji AibaTeppei MoritaKeisuke YamadaNobuya KurikawaShoko KurodaKiyoshi AraiMakoto MizunoKazumasa Aoki
- Topics
- Signaling Pathways in Disease (3 papers)Bacterial Genetics and Biotechnology (3 papers)Cancer Cells and Metastasis (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
H Ishikawa
30 papers receiving 655 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 374
- Genetics 213
- Ecology 131
- Endocrinology, Diabetes and Metabolism 129
- Epidemiology 79
Countries citing papers authored by H Ishikawa
This map shows the geographic impact of H 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 H Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Ishikawa more than expected).
Fields of papers citing papers by H Ishikawa
This network shows the impact of papers produced by H 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 H Ishikawa. The network helps show where H Ishikawa may publish in the future.
Co-authorship network of co-authors of H Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of H Ishikawa. A scholar is included among the top collaborators of H 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 H Ishikawa. H 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 | 5 | |
| 2 | 20 | |
| 3 | 12 | |
| 4 | 112 | |
| 5 | 102 | |
| 6 | 105 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 20 | |
| 14 | Establishment and characterization of melanoma cell line derived from malignant melanoma of human uterine cervix. | 3 |
| 15 | Histogenesis of hollow cell ball structure of ovarian and endometrial adenocarcinoma cells in vivo and in vitro. | 1 |
| 16 | The effect of TNP-470 on cell proliferation and urokinase-type plasminogen activator and its inhibitor in human lung cancer cell lines. | 7 |
| 17 | 8 | |
| 18 | Potentiating effect of amphotericin B on five platinum anticancer drugs in human cis-diamminedichloroplatinum (II) sensitive and resistant ovarian carcinoma cells. | 12 |
| 19 | 4 | |
| 20 | 14 |
About H Ishikawa
H Ishikawa is a scholar working on Oncology, Toxicology and Obstetrics and Gynecology, having authored 31 papers that have together received 675 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hepatology (65 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Genetics (213 citations). H Ishikawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiroji Aiba, Teppei Morita, Keisuke Yamada, Nobuya Kurikawa, Shoko Kuroda, Kiyoshi Arai, Makoto Mizuno, Kazumasa Aoki, Naoko Ubukata and Yuka Morikawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.
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.