Eihachiro Kawase
- Molecular Biology top 5%
- Genetics top 5%
- Biomedical Engineering top 10%
- Surgery top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Norio NakatsujiTing XieHirofumi SuemoriMarco D. WongXiaoqing SongKoichiro HashimotoJohn J. McCarthyRongwen Xi
- Topics
- Pluripotent Stem Cells Research (32 papers)CRISPR and Genetic Engineering (14 papers)3D Printing in Biomedical Research (10 papers)
- Cited by
- AgingMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eihachiro Kawase
41 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.9k
- Genetics 441
- Biomedical Engineering 327
- Surgery 311
- Cellular and Molecular Neuroscience 263
Countries citing papers authored by Eihachiro Kawase
This map shows the geographic impact of Eihachiro Kawase'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 Eihachiro Kawase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eihachiro Kawase more than expected).
Fields of papers citing papers by Eihachiro Kawase
This network shows the impact of papers produced by Eihachiro Kawase. 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 Eihachiro Kawase. The network helps show where Eihachiro Kawase may publish in the future.
Co-authorship network of co-authors of Eihachiro Kawase
This figure shows the co-authorship network connecting the top 25 collaborators of Eihachiro Kawase. A scholar is included among the top collaborators of Eihachiro Kawase 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 Eihachiro Kawase. Eihachiro Kawase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 272 | |
| 9 | 34 | |
| 10 | 13 | |
| 11 | 113 | |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 35 | |
| 15 | 158 | |
| 16 | 60 | |
| 17 | 54 | |
| 18 | 1 | |
| 19 | Genome analysis of Pinus X densi-thunbergii Uyeki using DNA molecular markers. - Verification of its hybridity | 4 |
| 20 | 62 |
About Eihachiro Kawase
Eihachiro Kawase is a scholar working on Molecular Biology, Hepatology and Genetics, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (32 papers), CRISPR and Genetic Engineering (14 papers) and 3D Printing in Biomedical Research (10 papers). The work is most often cited by research in Aging (64 citations), Molecular Biology (1.9k citations) and Genetics (441 citations). Eihachiro Kawase has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Norio Nakatsuji, Ting Xie, Hirofumi Suemori, Marco D. Wong, Xiaoqing Song, Koichiro Hashimoto, John J. McCarthy, Rongwen Xi, Takamichi Miyazaki and Miwa Kawasaki. 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.