Mina Maki
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- Nicotinic Acetylcholine Receptors Study 3
- Pluripotent Stem Cells Research 2
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- Neuroscience and Neuropharmacology Research 3
- Nerve injury and regeneration 3
- Co-authors
- Cesar V. Borlongan (18 shared papers)Koichi Hara (16 shared papers)Takao Yasuhara (16 shared papers)Noriyuki Matsukawa (15 shared papers)Guolong Yu (8 shared papers)David C. Hess (9 shared papers)Lin Xu (3 shared papers)Yuji Kaneko (4 shared papers)
- Journals
- Brain Research (4 papers)Stem Cells and Development (2 papers)Biochemical and Biophysical Research Communications (1 paper)Neuroscience (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Mina Maki
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 357
- Genetics 392
- Neurology 213
- Cellular and Molecular Neuroscience 319
- Neurology 138
Countries citing papers authored by Mina Maki
This map shows the geographic impact of Mina Maki'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 Mina Maki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Maki more than expected).
Fields of papers citing papers by Mina Maki
This network shows the impact of papers produced by Mina Maki. 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 Mina Maki. The network helps show where Mina Maki may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina Maki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 231 | |
| 2 | 2009 | 165 | |
| 3 | 2009 | 118 | |
| 4 | 2009 | 116 | |
| 5 | 2008 | 93 | |
| 6 | 2007 | 84 | |
| 7 | 2009 | 81 | |
| 8 | 2007 | 72 | |
| 9 | 2002 | 70 | |
| 10 | 2008 | 36 | |
| 11 | 2007 | 31 | |
| 12 | 2010 | 28 | |
| 13 | 2007 | 20 | |
| 14 | 2007 | 18 | |
| 15 | 2000 | 18 | |
| 16 | 2010 | 15 | |
| 17 | 2007 | 12 | |
| 18 | 2008 | 11 | |
| 19 | 2003 | 7 | |
| 20 | 2009 | 6 |
About Mina Maki
Mina Maki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Developmental Neuroscience, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Mesenchymal stem cell research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Nerve injury and regeneration (3 papers), Alzheimer's disease research and treatments (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Developmental Neuroscience (357 citations), Genetics (392 citations), Neurology (213 citations), Cellular and Molecular Neuroscience (319 citations) and Neurology (138 citations). Mina Maki has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Cesar V. Borlongan, Koichi Hara, Takao Yasuhara, Noriyuki Matsukawa, Guolong Yu, David C. Hess, Lin Xu, Yuji Kaneko, Seung Up Kim and Paul R. Sanberg. Their work appears in journals such as Brain Research, Stem Cells and Development, Biochemical and Biophysical Research Communications, Neuroscience 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.