Liang Xu
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection 7
- Physiology top 5%
- Alzheimer's disease research and treatments 19
- Materials Chemistry top 10%
- Luminescence and Fluorescent Materials 10
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials 9
- Organic Chemistry top 10%
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- Protein Structure and Dynamics 20
- Advanced biosensing and bioanalysis techniques 5
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- Parkinson's Disease Mechanisms and Treatments 8
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- Computational Drug Discovery Methods 6
- Co-authors
- Damien ThompsonShayon BhattacharyaRuth NussinovBuyong MaXiaojuan WangJingnan CuiXicheng WangJianzhang Zhao
- Journals
- Journal of Chemical Information and Modeling (5 papers)ACS Chemical Neuroscience (4 papers)Chemical Communications (4 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Liang Xu
96 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Spectroscopy 281
- Physiology 427
- Materials Chemistry 581
- Biomaterials 156
- Organic Chemistry 325
Countries citing papers authored by Liang Xu
This map shows the geographic impact of Liang Xu'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 Liang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Xu more than expected).
Fields of papers citing papers by Liang Xu
This network shows the impact of papers produced by Liang Xu. 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 Liang Xu. The network helps show where Liang Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Xu, 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 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 15 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 17 | |
| 15 | 2017 | 26 | |
| 16 | 2016 | 30 | |
| 17 | 2013 | 9 | |
| 18 | 2012 | 35 | |
| 19 | Relationships of Arctium lappa community distribution and species composition with eco-environmental factors | 2010 | 1 |
| 20 | 2008 | 14 |
About Liang Xu
Liang Xu is a scholar working on Molecular Biology, Physiology and Biomaterials, having authored 103 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Alzheimer's disease research and treatments (19 papers), Luminescence and Fluorescent Materials (10 papers), Supramolecular Self-Assembly in Materials (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Molecular Sensors and Ion Detection (7 papers), Computational Drug Discovery Methods (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Spectroscopy (281 citations), Physiology (427 citations) and Materials Chemistry (581 citations). Liang Xu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Damien Thompson, Shayon Bhattacharya, Ruth Nussinov, Buyong Ma, Xiaojuan Wang, Jingnan Cui, Xicheng Wang, Jianzhang Zhao, Ahmet Karatay and H. Gül Yağlıoğlu. Their work appears in journals such as Journal of Chemical Information and Modeling, ACS Chemical Neuroscience, Chemical Communications, Tetrahedron and Heritage Science.
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.