Huiqing Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 10
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- Machine Learning in Bioinformatics 5
- Co-authors
- Yi Qu (12 shared papers)Dezhi Mu (13 shared papers)Baohua Cheng (10 shared papers)Shanshan Dou (9 shared papers)Ziqi Shao (8 shared papers)Junge Zhu (8 shared papers)Shizhong Zhang (6 shared papers)Xiaozheng He (4 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)Reviews in the Neurosciences (4 papers)Scientific Reports (4 papers)Brain Research (3 papers)Mathematical Biosciences & Engineering (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huiqing Wang
148 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 164
- Cancer Research 490
- Neurology 164
- Molecular Biology 1.0k
- Neurology 176
- Geriatrics and Gerontology 38
Countries citing papers authored by Huiqing Wang
This map shows the geographic impact of Huiqing 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 Huiqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiqing Wang more than expected).
Fields of papers citing papers by Huiqing Wang
This network shows the impact of papers produced by Huiqing 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 Huiqing Wang. The network helps show where Huiqing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiqing 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 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 171 | |
| 2 | 2014 | 155 | |
| 3 | miR-124 regulates cell apoptosis and autophagy in dopaminergic neurons and protects them by regulating AMPK/mTOR pathway in Parkinson's disease. | 2016 | 94 |
| 4 | 2012 | 86 | |
| 5 | 2020 | 80 | |
| 6 | 2014 | 77 | |
| 7 | 2010 | 69 | |
| 8 | 2016 | 66 | |
| 9 | 2023 | 63 | |
| 10 | 2015 | 60 | |
| 11 | 2019 | 59 | |
| 12 | 2013 | 58 | |
| 13 | 2018 | 56 | |
| 14 | 2021 | 56 | |
| 15 | 2013 | 51 | |
| 16 | 2023 | 50 | |
| 17 | 2010 | 48 | |
| 18 | 2014 | 48 | |
| 19 | 2009 | 46 | |
| 20 | 2020 | 45 |
About Huiqing Wang
Huiqing Wang is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 162 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (10 papers), Autophagy in Disease and Therapy (6 papers), Nuclear Receptors and Signaling (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Machine Learning in Bioinformatics (5 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cancer Research (490 citations), Neurology (164 citations), Molecular Biology (1.0k citations), Neurology (176 citations) and Geriatrics and Gerontology (38 citations). Huiqing Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Qu, Dezhi Mu, Baohua Cheng, Shanshan Dou, Ziqi Shao, Junge Zhu, Shizhong Zhang, Xiaozheng He, Yongyi Ye and Chunmei Wang. Their work appears in journals such as Frontiers in Pharmacology, Reviews in the Neurosciences, Scientific Reports, Brain Research and Mathematical Biosciences & Engineering.
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.