Da Mi
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in ⓘ
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- Single-cell and spatial transcriptomics 5
- RNA Research and Splicing 5
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Genetics 7
- Genetic diversity and population structure 3
- Co-authors
- Òscar Marín (5 shared papers)Lynette Lim (3 shared papers)David J. Price (6 shared papers)Martine Manuel (4 shared papers)John O. Mason (4 shared papers)Thomas Pratt (1 shared paper)Zhen Li (1 shared paper)Tianliuyun Gao (1 shared paper)
- Journals
- Neuron (3 papers)Nature Communications (2 papers)Frontiers in Cellular Neuroscience (2 papers)Science (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Da Mi
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Developmental Neuroscience 291
- Cellular and Molecular Neuroscience 310
- Neurology 140
- Molecular Biology 627
- Cognitive Neuroscience 172
Countries citing papers authored by Da Mi
This map shows the geographic impact of Da Mi'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 Da Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Mi more than expected).
Fields of papers citing papers by Da Mi
This network shows the impact of papers produced by Da Mi. 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 Da Mi. The network helps show where Da Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Mi, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development and Functional Diversification of Cortical Interneurons Hit paper breakdown → | 2018 | 430 |
| 2 | 2018 | 155 | |
| 3 | 2015 | 110 | |
| 4 | 2020 | 103 | |
| 5 | 2021 | 89 | |
| 6 | 2013 | 62 | |
| 7 | 2014 | 31 | |
| 8 | 2008 | 30 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 15 | |
| 11 | 2023 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Da Mi
Da Mi is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Cancer Research and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), RNA Research and Splicing (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (291 citations), Cellular and Molecular Neuroscience (310 citations), Neurology (140 citations), Molecular Biology (627 citations) and Cognitive Neuroscience (172 citations). Da Mi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Òscar Marín, Lynette Lim, David J. Price, Martine Manuel, John O. Mason, Thomas Pratt, Zhen Li, Tianliuyun Gao, Xiaoming Hu and Mingfeng Li. Their work appears in journals such as Neuron, Nature Communications, Frontiers in Cellular Neuroscience, Science and Frontiers in Genetics.
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.