Dandan Tan
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Genetic Neurodegenerative Diseases
Papers in
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- Nerve injury and regeneration 9
- Genetic Neurodegenerative Diseases 6
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- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Jiasong Guo (9 shared papers)Xianghai Wang (8 shared papers)Mengjie Pan (7 shared papers)Lixia Li (7 shared papers)Xiaofang Hu (5 shared papers)Hui Xiong (11 shared papers)Haowen Zhang (4 shared papers)Xingzhi Chang (7 shared papers)
- Journals
- CNS Neuroscience & Therapeutics (3 papers)Experimental Neurology (3 papers)Frontiers in Genetics (2 papers)Journal of Geophysical Research Oceans (2 papers)Frontiers in Cellular Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dandan Tan
44 papers receiving 550 citations
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 49
- Cellular and Molecular Neuroscience 200
- Immunology and Allergy 31
- Molecular Biology 253
- Genetics 37
Countries citing papers authored by Dandan Tan
This map shows the geographic impact of Dandan Tan'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 Dandan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Tan more than expected).
Fields of papers citing papers by Dandan Tan
This network shows the impact of papers produced by Dandan Tan. 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 Dandan Tan. The network helps show where Dandan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Tan, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 52 | |
| 2 | 2019 | 52 | |
| 3 | 2015 | 33 | |
| 4 | 2017 | 30 | |
| 5 | 2023 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2018 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2018 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2015 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2017 | 9 |
About Dandan Tan
Dandan Tan is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Immunology and Allergy and Genetics, having authored 48 papers that have together received 559 indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Muscle Physiology and Disorders (7 papers), RNA Research and Splicing (7 papers), Genetic Neurodegenerative Diseases (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Ion channel regulation and function (3 papers), Cell Adhesion Molecules Research (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Developmental Neuroscience (49 citations), Cellular and Molecular Neuroscience (200 citations), Immunology and Allergy (31 citations), Molecular Biology (253 citations) and Genetics (37 citations). Dandan Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiasong Guo, Xianghai Wang, Mengjie Pan, Lixia Li, Xiaofang Hu, Hui Xiong, Haowen Zhang, Xingzhi Chang, Xiru Wu and Yun Yuan. Their work appears in journals such as CNS Neuroscience & Therapeutics, Experimental Neurology, Frontiers in Genetics, Journal of Geophysical Research Oceans and Frontiers in Cellular 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.