Ning Wang
Impact in
-
- Genetic Neurodegenerative Diseases
- Hereditary Neurological Disorders
- Biological Psychiatry top 5%
Papers in
-
- Genetic Neurodegenerative Diseases 25
- Hereditary Neurological Disorders 16
- Genetics 17
- Neurogenetic and Muscular Disorders Research 16
- Co-authors
- Zhi‐Ying Wu (23 shared papers)Wan‐Jin Chen (50 shared papers)Hong Wei Xu (1 shared paper)Guy M. McKhann (1 shared paper)Xi Chen (1 shared paper)David M. Stern (1 shared paper)Jun Yao (1 shared paper)Casper S. Caspersen (1 shared paper)
- Journals
- Annals of Clinical and Translational Neurology (8 papers)Frontiers in Neurology (6 papers)Brain (5 papers)Neurological Sciences (4 papers)CNS Neuroscience & Therapeutics (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ning Wang
146 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 788
- Biological Psychiatry 94
- Clinical Biochemistry 225
- Neurology 248
- Neurology 409
Countries citing papers authored by Ning Wang
This map shows the geographic impact of Ning Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wang more than expected).
Fields of papers citing papers by Ning Wang
This network shows the impact of papers produced by Ning Wang. 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 Wang. The network helps show where Ning Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Wang, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 659 | |
| 2 | 2011 | 391 | |
| 3 | 2009 | 132 | |
| 4 | 2018 | 130 | |
| 5 | 2011 | 74 | |
| 6 | 2010 | 71 | |
| 7 | 2018 | 67 | |
| 8 | 2017 | 50 | |
| 9 | 2006 | 44 | |
| 10 | 2022 | 41 | |
| 11 | 2010 | 38 | |
| 12 | 2019 | 38 | |
| 13 | 2016 | 37 | |
| 14 | 2019 | 33 | |
| 15 | 2015 | 29 | |
| 16 | 2016 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2013 | 27 | |
| 19 | 2015 | 27 | |
| 20 | 2022 | 27 |
About Ning Wang
Ning Wang is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Neurology and Clinical Biochemistry, having authored 164 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (25 papers), Muscle Physiology and Disorders (22 papers), Hereditary Neurological Disorders (16 papers), Neurogenetic and Muscular Disorders Research (16 papers), Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (8 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (788 citations), Biological Psychiatry (94 citations), Clinical Biochemistry (225 citations), Neurology (248 citations) and Neurology (409 citations). Ning Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhi‐Ying Wu, Wan‐Jin Chen, Hong Wei Xu, Guy M. McKhann, Xi Chen, David M. Stern, Jun Yao, Casper S. Caspersen, Alexander A. Sosunov and Shi Du Yan. Their work appears in journals such as Annals of Clinical and Translational Neurology, Frontiers in Neurology, Brain, Neurological Sciences and CNS Neuroscience & Therapeutics.
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.