Cong Liu
- Biomaterials top 0.5%
- Supramolecular Self-Assembly in Materials 23
- Physiology top 0.5%
- Alzheimer's disease research and treatments 63
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 37
- Neurological disorders and treatments 14
- Molecular Biology top 1%
- RNA Research and Splicing 31
- Protein Structure and Dynamics 21
- RNA modifications and cancer 14
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 37
- Neurological disorders and treatments 14
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- Cancer-related molecular mechanisms research 15
- Cited by
- BiomaterialsPhysiologyNeurology
- Journals
- Nature Communications (16 papers)Proceedings of the National Academy of Sciences (14 papers)Journal of the American Chemical Society (9 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Cong Liu
389 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Biomaterials 1.5k
- Physiology 2.6k
- Neurology 1.3k
- Molecular Biology 5.9k
- Neurology 435
Countries citing papers authored by Cong Liu
This map shows the geographic impact of Cong Liu'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 Cong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Liu more than expected).
Fields of papers citing papers by Cong Liu
This network shows the impact of papers produced by Cong Liu. 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 Cong Liu. The network helps show where Cong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cong Liu, 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 | 4 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 23 | |
| 13 | 2023 | 41 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 146 | |
| 18 | 2020 | 7 | |
| 19 | 2016 | 11 | |
| 20 | Atomic View of a Toxic Amyloid Small Oligomerbreakdown → | 2012 | 490 |
About Cong Liu
Cong Liu is a scholar working on Neurology, Biomaterials, Physiology, Molecular Biology and Microbiology, having authored 416 papers that have together received 11.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (63 papers), Parkinson's Disease Mechanisms and Treatments (37 papers), RNA Research and Splicing (31 papers), Supramolecular Self-Assembly in Materials (23 papers), Protein Structure and Dynamics (21 papers), Cancer-related molecular mechanisms research (15 papers), Neurological disorders and treatments (14 papers) and RNA modifications and cancer (14 papers). The work is most often cited by research in Biomaterials (1.5k citations), Physiology (2.6k citations), Neurology (1.3k citations), Molecular Biology (5.9k citations) and Neurology (435 citations). Cong Liu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Dan Li, David Eisenberg, Minglei Zhao, M.R. Sawaya, Xinrui Gui, Poh K. Teng, Zhenying Liu, Jinge Gu, Chunyu Zhao and James C. Stroud. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Journal of Biological Chemistry and Cellular Physiology 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.