Li Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Pluripotent Stem Cells Research 2
- Circular RNAs in diseases 2
- Epigenetics and DNA Methylation 2
-
- Parkinson's Disease Mechanisms and Treatments 7
- Co-authors
- Yi Xiao (2 shared papers)Zongbo Zhao (3 shared papers)Shengdi Chen (3 shared papers)Yuyan Tan (3 shared papers)Qin Xiao (2 shared papers)Woo Jung Lee (1 shared paper)Wei Chen (2 shared papers)Jianfang Ma (1 shared paper)
- Journals
- Frontiers in Aging Neuroscience (3 papers)The Journal of Heart and Lung Transplantation (2 papers)International Journal of Oncology (2 papers)Translational Neurodegeneration (2 papers)Biotechnology Letters (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Li Wu
35 papers receiving 737 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 204
- Neurology 110
- Molecular Biology 415
- Neurology 35
- Cellular and Molecular Neuroscience 71
Countries citing papers authored by Li Wu
This map shows the geographic impact of Li Wu'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 Li Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wu more than expected).
Fields of papers citing papers by Li Wu
This network shows the impact of papers produced by Li Wu. 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 Li Wu. The network helps show where Li Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Wu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 137 | |
| 2 | 2013 | 95 | |
| 3 | 2013 | 83 | |
| 4 | 2006 | 77 | |
| 5 | 2014 | 52 | |
| 6 | 2005 | 41 | |
| 7 | 2001 | 33 | |
| 8 | 2011 | 25 | |
| 9 | 2012 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2005 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2013 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 7 |
About Li Wu
Li Wu is a scholar working on Molecular Biology, Neurology, Surgery, Epidemiology and Rheumatology, having authored 36 papers that have together received 748 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Pluripotent Stem Cells Research (2 papers), Circular RNAs in diseases (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), Restless Legs Syndrome Research (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (204 citations), Neurology (110 citations), Molecular Biology (415 citations), Neurology (35 citations) and Cellular and Molecular Neuroscience (71 citations). Li Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yi Xiao, Zongbo Zhao, Shengdi Chen, Yuyan Tan, Qin Xiao, Woo Jung Lee, Wei Chen, Jianfang Ma, Hui Z. Sheng and Zhiquan Wang. Their work appears in journals such as Frontiers in Aging Neuroscience, The Journal of Heart and Lung Transplantation, International Journal of Oncology, Translational Neurodegeneration and Biotechnology Letters.
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.