Dan Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
- Neurology 12
- Neuroinflammation and Neurodegeneration Mechanisms 11
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 4
- Co-authors
- Jiankun Zang (12 shared papers)Yusheng Zhang (3 shared papers)Chi Kwan Tsang (6 shared papers)Huili Zhu (1 shared paper)Yan Fei Ding (1 shared paper)Zhongshan Shi (1 shared paper)Tingting Li (1 shared paper)Tianzhi Zhao (2 shared papers)
- Journals
- Advanced Functional Materials (2 papers)Journal of Neurology (2 papers)Frontiers in Neuroscience (2 papers)Neuroscience Bulletin (2 papers)Stroke (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dan Lu
50 papers receiving 1.9k citations
Dan Lu's Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 603
- Neurology 241
- Molecular Biology 1.1k
- Biological Psychiatry 20
- Sensory Systems 39
Countries citing papers authored by Dan Lu
This map shows the geographic impact of Dan Lu'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 Dan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lu more than expected).
Fields of papers citing papers by Dan Lu
This network shows the impact of papers produced by Dan Lu. 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 Dan Lu. The network helps show where Dan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The interaction of circRNAs and RNA binding proteins: An important part of circRNA maintenance and function Hit paper breakdown → | 2018 | 495 |
| 2 | 2016 | 168 | |
| 3 | 2016 | 141 | |
| 4 | 2016 | 128 | |
| 5 | 2021 | 106 | |
| 6 | 2022 | 93 | |
| 7 | 2016 | 54 | |
| 8 | 2021 | 51 | |
| 9 | 2014 | 50 | |
| 10 | 2016 | 50 | |
| 11 | 2020 | 45 | |
| 12 | 2012 | 35 | |
| 13 | 2017 | 30 | |
| 14 | 2020 | 29 | |
| 15 | 2011 | 27 | |
| 16 | 2019 | 25 | |
| 17 | 2025 | 24 | |
| 18 | 2018 | 22 | |
| 19 | 2018 | 20 | |
| 20 | 2021 | 20 |
About Dan Lu
Dan Lu is a scholar working on Neurology, Cancer Research, Molecular Biology, Pharmacology and Epidemiology, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (7 papers), Acute Ischemic Stroke Management (5 papers), Extracellular vesicles in disease (4 papers), Cancer-related molecular mechanisms research (4 papers), Pain Mechanisms and Treatments (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cancer Research (603 citations), Neurology (241 citations), Molecular Biology (1.1k citations), Biological Psychiatry (20 citations) and Sensory Systems (39 citations). Dan Lu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jiankun Zang, Yusheng Zhang, Chi Kwan Tsang, Huili Zhu, Yan Fei Ding, Zhongshan Shi, Tingting Li, Tianzhi Zhao, Yiwen Ruan and Hongcheng Mai. Their work appears in journals such as Advanced Functional Materials, Journal of Neurology, Frontiers in Neuroscience, Neuroscience Bulletin and Stroke.
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.