Danjing Yang
Impact in
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- MicroRNA in disease regulation
Papers in
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- DNA and Nucleic Acid Chemistry 4
- RNA Interference and Gene Delivery 3
- Extracellular vesicles in disease 3
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- Alzheimer's disease research and treatments 5
- Co-authors
- Shuo Shi (12 shared papers)Tianming Yao (12 shared papers)Juan Zhao (2 shared papers)Liang‐Nian Ji (6 shared papers)Jun Xu (9 shared papers)Shane Gao (7 shared papers)Ke Ning (5 shared papers)Chaoran Wang (1 shared paper)
- Journals
- Pharmaceutics (2 papers)ACS Chemical Neuroscience (2 papers)Cell Death and Disease (2 papers)Bulletin of the Chemical Society of Japan (2 papers)Dalton Transactions (2 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Danjing Yang
26 papers receiving 641 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 92
- Developmental Neuroscience 25
- Molecular Biology 396
- Neurology 37
- Oncology 116
Countries citing papers authored by Danjing Yang
This map shows the geographic impact of Danjing Yang'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 Danjing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danjing Yang more than expected).
Fields of papers citing papers by Danjing Yang
This network shows the impact of papers produced by Danjing Yang. 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 Danjing Yang. The network helps show where Danjing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danjing Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 105 | |
| 2 | 2010 | 85 | |
| 3 | 2013 | 69 | |
| 4 | 2023 | 66 | |
| 5 | 2018 | 63 | |
| 6 | 2019 | 32 | |
| 7 | 2020 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2009 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2010 | 19 | |
| 12 | 2018 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2011 | 11 | |
| 16 | 2021 | 8 | |
| 17 | 2015 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2015 | 7 |
About Danjing Yang
Danjing Yang is a scholar working on Molecular Biology, Physiology, Developmental Neuroscience, Geriatrics and Gerontology and Neurology, having authored 26 papers that have together received 644 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Extracellular vesicles in disease (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (92 citations), Developmental Neuroscience (25 citations), Molecular Biology (396 citations), Neurology (37 citations) and Oncology (116 citations). Danjing Yang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Shuo Shi, Tianming Yao, Juan Zhao, Liang‐Nian Ji, Jun Xu, Shane Gao, Ke Ning, Chaoran Wang, Liang‐Nian Ji and Bin Ling. Their work appears in journals such as Pharmaceutics, ACS Chemical Neuroscience, Cell Death and Disease, Bulletin of the Chemical Society of Japan and Dalton Transactions.
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.