Na Wei
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
Papers in
-
- RNA Research and Splicing 12
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 8
- Circular RNAs in diseases 5
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 7
- Co-authors
- Xiang‐Lei Yang (12 shared papers)Ye Du (4 shared papers)Kathy Qian Luo (6 shared papers)Youming Lu (6 shared papers)Shu‐Heng Jiang (2 shared papers)Song Dong (2 shared papers)Ling‐Qiang Zhu (4 shared papers)Rui Xue (7 shared papers)
- Journals
- Poultry Science (4 papers)Molecular Neurobiology (4 papers)Aging (4 papers)Biochemical and Biophysical Research Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Na Wei
92 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 525
- Neurology 259
- Biological Psychiatry 68
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 331
Countries citing papers authored by Na Wei
This map shows the geographic impact of Na Wei'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 Na Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Wei more than expected).
Fields of papers citing papers by Na Wei
This network shows the impact of papers produced by Na Wei. 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 Na Wei. The network helps show where Na Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Wei, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 218 | |
| 2 | 2017 | 167 | |
| 3 | 2015 | 118 | |
| 4 | 2016 | 110 | |
| 5 | 2014 | 106 | |
| 6 | 2020 | 93 | |
| 7 | 2018 | 90 | |
| 8 | 2015 | 80 | |
| 9 | 2008 | 75 | |
| 10 | 2017 | 66 | |
| 11 | 2014 | 60 | |
| 12 | 2019 | 58 | |
| 13 | 2017 | 57 | |
| 14 | 2014 | 53 | |
| 15 | 2015 | 48 | |
| 16 | 2020 | 47 | |
| 17 | 2020 | 44 | |
| 18 | 2020 | 39 | |
| 19 | 2016 | 37 | |
| 20 | 2009 | 37 |
About Na Wei
Na Wei is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Cellular and Molecular Neuroscience, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA modifications and cancer (10 papers), Virus-based gene therapy research (9 papers), RNA and protein synthesis mechanisms (8 papers), MicroRNA in disease regulation (8 papers), Hereditary Neurological Disorders (7 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (525 citations), Neurology (259 citations), Biological Psychiatry (68 citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (331 citations). Na Wei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiang‐Lei Yang, Ye Du, Kathy Qian Luo, Youming Lu, Shu‐Heng Jiang, Song Dong, Ling‐Qiang Zhu, Rui Xue, Weiyun Pan and Yi Shi. Their work appears in journals such as Poultry Science, Molecular Neurobiology, Aging, Biochemical and Biophysical Research Communications and Proceedings of the National Academy of Sciences.
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.