Nan Wang
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
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- Genetic Neurodegenerative Diseases
Papers in
-
- Epigenetics and DNA Methylation 5
- Mitochondrial Function and Pathology 5
- Ubiquitin and proteasome pathways 4
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- Genetic Neurodegenerative Diseases 7
- Co-authors
- Mark M. Rasenick (3 shared papers)X. William Yang (10 shared papers)Kai Yan (1 shared paper)Xiaofeng Gu (4 shared papers)Marijke De Bock (4 shared papers)Elke Decrock (4 shared papers)Luc Leybaert (4 shared papers)Chang Sin Park (2 shared papers)
- Journals
- PLoS ONE (3 papers)Neuron (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the Taiwan Institute of Chemical Engineers (2 papers)Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nan Wang
115 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 153
- Neurology 440
- Cellular and Molecular Neuroscience 443
- Molecular Biology 1.3k
- Cell Biology 292
- Biological Psychiatry 41
Countries citing papers authored by Nan Wang
This map shows the geographic impact of Nan 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 Nan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Wang more than expected).
Fields of papers citing papers by Nan Wang
This network shows the impact of papers produced by Nan 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 Nan Wang. The network helps show where Nan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 288 | |
| 2 | 2017 | 240 | |
| 3 | 1990 | 159 | |
| 4 | 2014 | 150 | |
| 5 | 2017 | 149 | |
| 6 | 2016 | 128 | |
| 7 | 2011 | 109 | |
| 8 | 2020 | 83 | |
| 9 | 2020 | 73 | |
| 10 | 1991 | 69 | |
| 11 | 1993 | 65 | |
| 12 | 2015 | 62 | |
| 13 | 2019 | 61 | |
| 14 | 2017 | 59 | |
| 15 | 2021 | 59 | |
| 16 | 2009 | 56 | |
| 17 | 1999 | 56 | |
| 18 | 2017 | 53 | |
| 19 | 2016 | 50 | |
| 20 | 2023 | 47 |
About Nan Wang
Nan Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Mechanical Engineering and Materials Chemistry, having authored 123 papers that have together received 3.0k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (7 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Genetic Neurodegenerative Diseases (7 papers), Circadian rhythm and melatonin (6 papers), Epigenetics and DNA Methylation (5 papers), Mitochondrial Function and Pathology (5 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Neurology (440 citations), Cellular and Molecular Neuroscience (443 citations), Molecular Biology (1.3k citations), Cell Biology (292 citations) and Biological Psychiatry (41 citations). Nan Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mark M. Rasenick, X. William Yang, Kai Yan, Xiaofeng Gu, Marijke De Bock, Elke Decrock, Luc Leybaert, Chang Sin Park, Dangsheng Xiong and Peter Langfelder. Their work appears in journals such as PLoS ONE, Neuron, Proceedings of the National Academy of Sciences, Journal of the Taiwan Institute of Chemical Engineers and Biochemistry.
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.