Shangwei Ning
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
Papers in
-
- RNA modifications and cancer 44
- RNA Research and Splicing 30
- Epigenetics and DNA Methylation 9
- Circular RNAs in diseases 8
-
- Cancer-related molecular mechanisms research 62
- MicroRNA in disease regulation 27
- Co-authors
- Xia Li (41 shared papers)Peng Wang (39 shared papers)Hui Zhi (37 shared papers)Yue Gao (36 shared papers)Yunpeng Zhang (14 shared papers)Lihua Wang (22 shared papers)Maoni Guo (10 shared papers)Jianjian Wang (21 shared papers)
- Journals
- Nucleic Acids Research (19 papers)Journal of Translational Medicine (9 papers)Oncotarget (7 papers)Briefings in Bioinformatics (5 papers)PLoS ONE (5 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Shangwei Ning
112 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 2.0k
- Molecular Biology 2.1k
- Endocrinology 42
- Immunology 157
- Pulmonary and Respiratory Medicine 219
Countries citing papers authored by Shangwei Ning
This map shows the geographic impact of Shangwei Ning'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 Shangwei Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangwei Ning more than expected).
Fields of papers citing papers by Shangwei Ning
This network shows the impact of papers produced by Shangwei Ning. 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 Shangwei Ning. The network helps show where Shangwei Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Shangwei Ning, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 272 | |
| 2 | 2020 | 212 | |
| 3 | 2015 | 177 | |
| 4 | 2018 | 135 | |
| 5 | 2015 | 96 | |
| 6 | 2018 | 87 | |
| 7 | 2016 | 66 | |
| 8 | 2021 | 64 | |
| 9 | 2011 | 57 | |
| 10 | 2019 | 56 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 47 | |
| 13 | 2016 | 46 | |
| 14 | 2009 | 44 | |
| 15 | 2014 | 44 | |
| 16 | 2017 | 43 | |
| 17 | 2017 | 41 | |
| 18 | 2022 | 39 | |
| 19 | 2014 | 38 | |
| 20 | 2022 | 37 |
About Shangwei Ning
Shangwei Ning is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 121 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (62 papers), RNA modifications and cancer (44 papers), RNA Research and Splicing (30 papers), MicroRNA in disease regulation (27 papers), Ferroptosis and cancer prognosis (17 papers), Cancer Immunotherapy and Biomarkers (14 papers), Epigenetics and DNA Methylation (9 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (2.1k citations), Endocrinology (42 citations), Immunology (157 citations) and Pulmonary and Respiratory Medicine (219 citations). Shangwei Ning has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Xia Li, Peng Wang, Hui Zhi, Yue Gao, Yunpeng Zhang, Lihua Wang, Maoni Guo, Jianjian Wang, Jizhou Zhang and Shipeng Shang. Their work appears in journals such as Nucleic Acids Research, Journal of Translational Medicine, Oncotarget, Briefings in Bioinformatics and PLoS ONE.
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.