Qingsong Wang
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 5%
- Muscle Physiology and Disorders 6
- RNA Interference and Gene Delivery 6
- Mitochondrial Function and Pathology 5
- Extracellular vesicles in disease 5
- RNA Research and Splicing 5
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Sensory Systems top 10%
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Jianguo JiHaiFang YinYong-Xiao WangYun‐Min ZhengXuyang ZhaoRakesh RathoreHong M. MoultonPingping Shen
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingsong Wang
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 345
- Molecular Biology 1.4k
- Neurology 137
- Sensory Systems 49
- Immunology 212
Countries citing papers authored by Qingsong Wang
This map shows the geographic impact of Qingsong 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 Qingsong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingsong Wang more than expected).
Fields of papers citing papers by Qingsong Wang
This network shows the impact of papers produced by Qingsong 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 Qingsong Wang. The network helps show where Qingsong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingsong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 9 | |
| 10 | 2015 | 86 | |
| 11 | 2015 | 46 | |
| 12 | 2014 | 5 | |
| 13 | 2014 | 59 | |
| 14 | 2012 | 1 | |
| 15 | 2010 | 30 | |
| 16 | 2008 | 40 | |
| 17 | 2006 | 63 | |
| 18 | 2006 | 28 | |
| 19 | 2005 | 73 | |
| 20 | 1988 | 1 |
About Qingsong Wang
Qingsong Wang is a scholar working on Neurology, Molecular Biology and Physiology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), RNA Interference and Gene Delivery (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Mitochondrial Function and Pathology (5 papers), Cancer-related molecular mechanisms research (5 papers), Extracellular vesicles in disease (5 papers), RNA Research and Splicing (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (345 citations), Molecular Biology (1.4k citations) and Neurology (137 citations). Qingsong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianguo Ji, HaiFang Yin, Yong-Xiao Wang, Yun‐Min Zheng, Xuyang Zhao, Rakesh Rathore, Hong M. Moulton, Pingping Shen, Harold A. Singer and Matthew J. A. Wood. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.