Shaogang Qu
Impact in
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- Neuroscience and Neuropharmacology Research
- Nuclear Receptors and Signaling
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 28
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- Receptor Mechanisms and Signaling 7
- RNA regulation and disease 6
- Co-authors
- Xiuping Zhang (16 shared papers)Baruch I. Kanner (4 shared papers)Dongmei Mai (6 shared papers)Yunlong Zhang (7 shared papers)Xingjun Meng (9 shared papers)Pingyi Xu (18 shared papers)Fushun Wang (2 shared papers)Ji Wang (6 shared papers)
- Journals
- ACS Chemical Neuroscience (11 papers)Molecular Pharmacology (3 papers)Cell Death and Disease (3 papers)PLoS ONE (3 papers)The International Journal of Biochemistry & Cell Biology (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Shaogang Qu
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 602
- Neurology 251
- Biological Psychiatry 62
- Biochemistry 176
- Neurology 349
Countries citing papers authored by Shaogang Qu
This map shows the geographic impact of Shaogang Qu'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 Shaogang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaogang Qu more than expected).
Fields of papers citing papers by Shaogang Qu
This network shows the impact of papers produced by Shaogang Qu. 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 Shaogang Qu. The network helps show where Shaogang Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaogang Qu, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 154 | |
| 2 | 2009 | 124 | |
| 3 | 2017 | 81 | |
| 4 | 2018 | 71 | |
| 5 | 2018 | 50 | |
| 6 | 2017 | 50 | |
| 7 | 2016 | 47 | |
| 8 | 2017 | 44 | |
| 9 | 2021 | 43 | |
| 10 | 2016 | 41 | |
| 11 | 2023 | 41 | |
| 12 | 2019 | 41 | |
| 13 | 2016 | 40 | |
| 14 | 2023 | 40 | |
| 15 | 2020 | 39 | |
| 16 | 2014 | 36 | |
| 17 | 2018 | 36 | |
| 18 | 2019 | 36 | |
| 19 | 2009 | 35 | |
| 20 | 2019 | 33 |
About Shaogang Qu
Shaogang Qu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Biochemistry and Spectroscopy, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Parkinson's Disease Mechanisms and Treatments (18 papers), Amino Acid Enzymes and Metabolism (14 papers), Molecular Sensors and Ion Detection (9 papers), Receptor Mechanisms and Signaling (7 papers), RNA regulation and disease (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (602 citations), Neurology (251 citations), Biological Psychiatry (62 citations), Biochemistry (176 citations) and Neurology (349 citations). Shaogang Qu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Xiuping Zhang, Baruch I. Kanner, Dongmei Mai, Yunlong Zhang, Xingjun Meng, Pingyi Xu, Fushun Wang, Ji Wang, Huichun Tong and Lucy R. Forrest. Their work appears in journals such as ACS Chemical Neuroscience, Molecular Pharmacology, Cell Death and Disease, PLoS ONE and The International Journal of Biochemistry & Cell Biology.
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.