Mitsuru Ishikawa
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Materials Chemistry top 10%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Co-authors
- Hideyuki OkanoVasudevanpillai BijuYoshinobu BabaTamitake ItohYasuo ShinoharaYoshihiro MaruyamaHidetaka AkitaHideyoshi Harashima
- Topics
- CRISPR and Genetic Engineering (16 papers)Pluripotent Stem Cells Research (15 papers)RNA Interference and Gene Delivery (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Mitsuru Ishikawa
98 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.3k
- Biomedical Engineering 427
- Materials Chemistry 358
- Cellular and Molecular Neuroscience 334
- Neurology 273
Countries citing papers authored by Mitsuru Ishikawa
This map shows the geographic impact of Mitsuru 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 Mitsuru Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuru Ishikawa more than expected).
Fields of papers citing papers by Mitsuru Ishikawa
This network shows the impact of papers produced by Mitsuru 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 Mitsuru Ishikawa. The network helps show where Mitsuru Ishikawa may publish in the future.
Co-authorship network of co-authors of Mitsuru Ishikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Ishikawa. A scholar is included among the top collaborators of Mitsuru 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 Mitsuru Ishikawa. Mitsuru 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 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 21 | |
| 10 | 24 | |
| 11 | 38 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 49 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 20 | |
| 18 | 5 | |
| 19 | 32 | |
| 20 | 29 |
About Mitsuru Ishikawa
Mitsuru Ishikawa is a scholar working on Biophysics, Molecular Biology and Developmental Neuroscience, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), Pluripotent Stem Cells Research (15 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Biophysics (142 citations) and Cellular and Molecular Neuroscience (334 citations). Mitsuru Ishikawa has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Hideyuki Okano, Vasudevanpillai Biju, Yoshinobu Baba, Tamitake Itoh, Yasuo Shinohara, Yoshihiro Maruyama, Hidetaka Akita, Hideyoshi Harashima, Koki Fujimori and Zhivko Zhelev. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids 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.