Miki Nakamura
- Virology top 5%
- Molecular Biology top 10%
- Pluripotent Stem Cells Research 10
- CRISPR and Genetic Engineering 6
- Muscle Physiology and Disorders 4
- Aging top 10%
- Genetics top 10%
- Virus-based gene therapy research 5
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- Cancer, Hypoxia, and Metabolism 8
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- Cancer Research and Treatments 14
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- Nanoplatforms for cancer theranostics 6
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- Multiple Myeloma Research and Treatments 5
- Co-authors
- Yuko HokiRyoko ArakiMasumi AbeShunsuke AndoMisato SunayamaMayumi SugiuraAkemi ShimadaHisashi Ideno
- Cited by
- VirologyMolecular BiologyAging
- Journals
- Nature (1 paper)Journal of Biological Chemistry (1 paper)Angewandte Chemie International Edition (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Miki Nakamura
82 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Virology 134
- Molecular Biology 1.2k
- Aging 21
- Genetics 125
- Cancer Research 150
Countries citing papers authored by Miki Nakamura
This map shows the geographic impact of Miki Nakamura'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 Miki Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miki Nakamura more than expected).
Fields of papers citing papers by Miki Nakamura
This network shows the impact of papers produced by Miki Nakamura. 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 Miki Nakamura. The network helps show where Miki Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miki Nakamura, 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 | 2019 | 19 | |
| 2 | 2019 | 38 | |
| 3 | 2019 | 3 | |
| 4 | Diagnostic accuracy of out-of-center sleep testing（OCST）in our sleep center | 2018 | 1 |
| 5 | 2018 | 5 | |
| 6 | 2017 | 9 | |
| 7 | 2017 | 25 | |
| 8 | 2017 | 67 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 86 | |
| 11 | 2015 | 15 | |
| 12 | 2013 | 2 | |
| 13 | 2012 | 24 | |
| 14 | Impact of situation of pregnancy on depressive symptom of women in perinatal period. | 2010 | 3 |
| 15 | 2006 | 55 | |
| 16 | 2004 | 1 | |
| 17 | 2004 | 53 | |
| 18 | 2004 | 9 | |
| 19 | gp41-C34ペプチドのリモデリングはHIV-1と標的細胞の融合の高効率阻害剤に到達する | 2002 | 11 |
| 20 | 2001 | 31 |
About Miki Nakamura
Miki Nakamura is a scholar working on Biotechnology, Cancer Research and Molecular Biology, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Research and Treatments (14 papers), Pluripotent Stem Cells Research (10 papers), Cancer, Hypoxia, and Metabolism (8 papers), CRISPR and Genetic Engineering (6 papers), Nanoplatforms for cancer theranostics (6 papers), Virus-based gene therapy research (5 papers), Multiple Myeloma Research and Treatments (5 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Virology (134 citations), Molecular Biology (1.2k citations) and Aging (21 citations). Miki Nakamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yuko Hoki, Ryoko Araki, Masumi Abe, Shunsuke Ando, Misato Sunayama, Mayumi Sugiura, Akemi Shimada, Hisashi Ideno, Akira Nifuji and Nobutaka Fujii. Their work appears in journals such as Nature, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.