Da Duan
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Molecular Biology top 5%
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- Nerve injury and regeneration 5
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 8
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- Mesenchymal stem cell research 13
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- Neurological Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Microtubule and mitosis dynamics 3
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- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- Michael I. LermanDvorit SamidFarida LatifBerton ZbarJames G. HermanJames R. GnarraW. Marston LinehanBrian K. Shoichet
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Da Duan
39 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 579
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 575
- Developmental Neuroscience 103
- Computational Theory and Mathematics 286
Countries citing papers authored by Da Duan
This map shows the geographic impact of Da Duan'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 Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Duan more than expected).
Fields of papers citing papers by Da Duan
This network shows the impact of papers produced by Da Duan. 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 Duan. The network helps show where Da Duan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Da Duan, 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 | 2020 | 18 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 28 | |
| 4 | 2019 | 6 | |
| 5 | 2017 | 11 | |
| 6 | 2017 | 10 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 9 | |
| 9 | Structure-based discovery of opioid analgesics with reduced side effectsbreakdown → | 2016 | 697 |
| 10 | 2016 | 63 | |
| 11 | 2015 | 60 | |
| 12 | 2015 | 4 | |
| 13 | 2014 | 9 | |
| 14 | [Differentiation of C17.2 neural stem cells into neural cells induced by serum-free conditioned medium of olfactory ensheathing cells and cell viability detection of differentiated cells]. | 2014 | 3 |
| 15 | 2013 | 3 | |
| 16 | 2013 | 15 | |
| 17 | 2012 | 11 | |
| 18 | 2011 | 7 | |
| 19 | 2011 | 17 | |
| 20 | 2007 | 25 |
About Da Duan
Da Duan is a scholar working on Developmental Neuroscience, Genetics, Neurology, Sensory Systems and Cancer Research, having authored 39 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (13 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Nerve injury and regeneration (5 papers), Neurological Disease Mechanisms and Treatments (4 papers), Microtubule and mitosis dynamics (3 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Cancer Research (579 citations), Molecular Biology (2.2k citations), Cellular and Molecular Neuroscience (575 citations), Developmental Neuroscience (103 citations) and Computational Theory and Mathematics (286 citations). Da Duan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Michael I. Lerman, Dvorit Samid, Farida Latif, Berton Zbar, James G. Herman, James R. Gnarra, W. Marston Linehan, Brian K. Shoichet, Ming Lü and Allison K. Doak. Their work appears in journals such as ACS Chemical Biology, Journal of Biological Chemistry, Aging, PLoS ONE and Frontiers in Cell and Developmental Biology.
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.