Kenji Miki
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- Neuroscience and Neural Engineering 6
- Neuropeptides and Animal Physiology 6
- Physiology top 2%
- Pain Mechanisms and Treatments 10
- Hepatology top 5%
- Biomaterials top 5%
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine 11
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- Pluripotent Stem Cells Research 16
- CRISPR and Genetic Engineering 7
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- Virus-based gene therapy research 6
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- Virology and Viral Diseases 6
- Co-authors
- Koichi NoguchiTetsuo FukuokaAtsushi TokunagaEiji KondoTomoya FukuokaYi DaiKazuo YonenobuTakahiro Ochi
- Partner nations
- JapanUnited StatesPapua New Guinea
In The Last Decade
Kenji Miki
69 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 962
- Physiology 1.1k
- Hepatology 266
- Biomaterials 329
- Surgery 1.0k
Countries citing papers authored by Kenji Miki
This map shows the geographic impact of Kenji Miki'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 Kenji Miki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Miki more than expected).
Fields of papers citing papers by Kenji Miki
This network shows the impact of papers produced by Kenji Miki. 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 Kenji Miki. The network helps show where Kenji Miki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenji Miki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2017 | 54 | |
| 8 | 2017 | 88 | |
| 9 | 2016 | 72 | |
| 10 | Abstract 16184: Single Cell RNA Sequencing Reveals Dynamic and Heterogeneous Changes of Transcriptome During Cardiac Differentiation in vitro | 2014 | 0 |
| 11 | 2011 | 83 | |
| 12 | Abstract 2965: Cardiomyocyte Sheets Derived From Induced Pluripotent Stem (iPS) Cells Improve Cardiac Function and Attenuate Cardiac Remodeling in Myocardial Infarction in Mice | 2009 | 2 |
| 13 | 2005 | 8 | |
| 14 | 2003 | 28 | |
| 15 | 2002 | 23 | |
| 16 | Methioninase gene therapy of human cancer cells is synergistic with recombinant methioninase treatment. | 2000 | 34 |
| 17 | 2000 | 51 | |
| 18 | 1999 | 47 | |
| 19 | 1999 | 18 | |
| 20 | 1998 | 7 |
About Kenji Miki
Kenji Miki is a scholar working on Cellular and Molecular Neuroscience, Hepatology and Biotechnology, having authored 72 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Tissue Engineering and Regenerative Medicine (11 papers), Pain Mechanisms and Treatments (10 papers), CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (6 papers), Virology and Viral Diseases (6 papers), Neuroscience and Neural Engineering (6 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (962 citations), Physiology (1.1k citations) and Hepatology (266 citations). Kenji Miki has collaborated with scholars based in Japan, United States and Papua New Guinea. Frequent co-authors include Koichi Noguchi, Tetsuo Fukuoka, Atsushi Tokunaga, Eiji Kondo, Tomoya Fukuoka, Yi Dai, Kazuo Yonenobu, Takahiro Ochi, Hiroaki Tsujino and Shigeru Miyagawa. Their work appears in journals such as Circulation, Nature Communications and Journal of Neuroscience.
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.