Ning Wei
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Neuroscience top 10%
Papers in
-
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
-
- Cancer-related molecular mechanisms research 12
- Cancer Genomics and Diagnostics 3
- Co-authors
- Yan Xiong (4 shared papers)Yu Wang (3 shared papers)Qingwu Shen (3 shared papers)Xiaohuan Gu (1 shared paper)Tammi Taylor (1 shared paper)Xinfeng Liu (1 shared paper)Shan Ping Yu (1 shared paper)Ling Wei (1 shared paper)
- Journals
- Veterinary Microbiology (2 papers)Molecular Biology Reports (2 papers)Scientific Reports (2 papers)Asian-Australasian Journal of Animal Sciences (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ning Wei
40 papers receiving 868 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 314
- Developmental Neuroscience 57
- Genetics 89
- Geriatrics and Gerontology 23
- Molecular Biology 438
Countries citing papers authored by Ning Wei
This map shows the geographic impact of Ning 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 Ning Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wei more than expected).
Fields of papers citing papers by Ning Wei
This network shows the impact of papers produced by Ning 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 Ning Wei. The network helps show where Ning Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 147 | |
| 2 | 2013 | 76 | |
| 3 | 2015 | 66 | |
| 4 | 2018 | 63 | |
| 5 | 2014 | 56 | |
| 6 | 2022 | 42 | |
| 7 | 2013 | 36 | |
| 8 | 2022 | 35 | |
| 9 | 2007 | 34 | |
| 10 | 2014 | 30 | |
| 11 | 2006 | 28 | |
| 12 | 2017 | 27 | |
| 13 | 2022 | 25 | |
| 14 | 1991 | 24 | |
| 15 | 2021 | 19 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2008 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2014 | 13 |
About Ning Wei
Ning Wei is a scholar working on Molecular Biology, Cancer Research, Physiology, Geriatrics and Gerontology and Public Health, Environmental and Occupational Health, having authored 45 papers that have together received 876 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Adipose Tissue and Metabolism (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Circular RNAs in diseases (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), RNA Research and Splicing (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (314 citations), Developmental Neuroscience (57 citations), Genetics (89 citations), Geriatrics and Gerontology (23 citations) and Molecular Biology (438 citations). Ning Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yan Xiong, Yu Wang, Qingwu Shen, Xiaohuan Gu, Tammi Taylor, Xinfeng Liu, Shan Ping Yu, Ling Wei, Tim W. Nattkemper and Weijun Pang. Their work appears in journals such as Veterinary Microbiology, Molecular Biology Reports, Scientific Reports, Asian-Australasian Journal of Animal Sciences and Gene.
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.