Wei Zheng
- Structural Biology top 5%
- Molecular Biology top 5%
- Protein Structure and Dynamics 26
- Machine Learning in Bioinformatics 20
- RNA and protein synthesis mechanisms 12
- Genomics and Phylogenetic Studies 12
- Infectious Diseases top 5%
- Neurology top 5%
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- Computational Drug Discovery Methods 7
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- Enzyme Structure and Function 15
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- Monoclonal and Polyclonal Antibodies Research 9
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- Alzheimer's disease research and treatments 6
- Co-authors
- Yang ZhangChengxin ZhangRobin PearceEric W. BellYang LiXiaogen ZhouZhan‐You WangQiqige Wuyun
- Journals
- Nature Communications (4 papers)Proteins Structure Function and Bioinformatics (4 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wei Zheng
89 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Structural Biology 54
- Molecular Biology 2.0k
- Infectious Diseases 368
- Neurology 151
- Computational Theory and Mathematics 261
Countries citing papers authored by Wei Zheng
This map shows the geographic impact of Wei Zheng'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 Wei Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Zheng more than expected).
Fields of papers citing papers by Wei Zheng
This network shows the impact of papers produced by Wei Zheng. 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 Wei Zheng. The network helps show where Wei Zheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Zheng, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 18 | |
| 4 | 2025 | 1 | |
| 5 | Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics databreakdown → | 2024 | 66 |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 28 | |
| 11 | 2021 | 59 | |
| 12 | 2021 | 44 | |
| 13 | 2020 | 202 | |
| 14 | 2019 | 41 | |
| 15 | 2019 | 36 | |
| 16 | 2019 | 46 | |
| 17 | 2012 | 10 | |
| 18 | 2012 | 62 | |
| 19 | 2010 | 137 | |
| 20 | 2009 | 32 |
About Wei Zheng
Wei Zheng is a scholar working on Structural Biology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Parasitology and Computational Theory and Mathematics, having authored 96 papers that have together received 3.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (26 papers), Machine Learning in Bioinformatics (20 papers), Enzyme Structure and Function (15 papers), RNA and protein synthesis mechanisms (12 papers), Genomics and Phylogenetic Studies (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Computational Drug Discovery Methods (7 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Structural Biology (54 citations), Molecular Biology (2.0k citations), Infectious Diseases (368 citations), Neurology (151 citations) and Computational Theory and Mathematics (261 citations). Wei Zheng has collaborated with scholars based in China, United States and France. Frequent co-authors include Yang Zhang, Chengxin Zhang, Robin Pearce, Eric W. Bell, Yang Li, Xiaogen Zhou, Yang Li, Zhan‐You Wang, Qiqige Wuyun and S. M. Mortuza. Their work appears in journals such as Nature Communications, Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Bioinformatics and Briefings in Bioinformatics.
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.