Mengdie Wang
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 7
- Advanced biosensing and bioanalysis techniques 4
- Circular RNAs in diseases 4
- Ubiquitin and proteasome pathways 3
-
- Luminescence and Fluorescent Materials 5
- Co-authors
- Yuanpeng Xia (4 shared papers)Quanwei He (4 shared papers)Shengcai Chen (3 shared papers)Bo Hu (2 shared papers)Ling Mao (2 shared papers)Yu Liu (20 shared papers)Wenhan Jin (12 shared papers)Wang Wan (11 shared papers)
- Journals
- Cellulose (3 papers)PLoS ONE (2 papers)Molecular Neurobiology (2 papers)Ore Geology Reviews (2 papers)Amyloid (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Mengdie Wang
46 papers receiving 903 citations
Peers
Comparison fields: 5 of 113
- Neurology 105
- Cancer Research 185
- Developmental Neuroscience 23
- Molecular Biology 397
- Spectroscopy 88
Countries citing papers authored by Mengdie Wang
This map shows the geographic impact of Mengdie 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 Mengdie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengdie Wang more than expected).
Fields of papers citing papers by Mengdie Wang
This network shows the impact of papers produced by Mengdie 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 Mengdie Wang. The network helps show where Mengdie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengdie 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2013 | 90 | |
| 3 | 2021 | 83 | |
| 4 | 2022 | 72 | |
| 5 | 2017 | 61 | |
| 6 | 2021 | 58 | |
| 7 | 2021 | 40 | |
| 8 | 2016 | 37 | |
| 9 | 2020 | 24 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2023 | 11 |
About Mengdie Wang
Mengdie Wang is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Spectroscopy and Biomedical Engineering, having authored 57 papers that have together received 909 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Click Chemistry and Applications (6 papers), Molecular Sensors and Ion Detection (5 papers), Luminescence and Fluorescent Materials (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Circular RNAs in diseases (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Neurology (105 citations), Cancer Research (185 citations), Developmental Neuroscience (23 citations), Molecular Biology (397 citations) and Spectroscopy (88 citations). Mengdie Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Yuanpeng Xia, Quanwei He, Shengcai Chen, Bo Hu, Ling Mao, Yu Liu, Wenhan Jin, Wang Wan, Yanan Huang and Yulong Bai. Their work appears in journals such as Cellulose, PLoS ONE, Molecular Neurobiology, Ore Geology Reviews and Amyloid.
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.