Zongyang Du
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- RNA modifications and cancer
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 2
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 1
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- Enzyme Structure and Function 1
- Machine Learning in Materials Science 1
- Co-authors
- Jianyi Yang (7 shared papers)Zhenling Peng (7 shared papers)Wenkai Wang (4 shared papers)Hong Wei (3 shared papers)Hong Su (2 shared papers)David Baker (1 shared paper)Ivan Anishchenko (1 shared paper)Renmin Han (2 shared papers)
- Journals
- Bioinformatics (3 papers)Nature Communications (1 paper)Advanced Science (1 paper)Nature Protocols (1 paper)Communications Biology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Zongyang Du
7 papers receiving 675 citations
Zongyang Du's Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 510
- Computational Theory and Mathematics 58
- Biotechnology 30
- Microbiology 19
- Structural Biology 4
Countries citing papers authored by Zongyang Du
This map shows the geographic impact of Zongyang Du'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 Zongyang Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongyang Du more than expected).
Fields of papers citing papers by Zongyang Du
This network shows the impact of papers produced by Zongyang Du. 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 Zongyang Du. The network helps show where Zongyang Du may publish in the future.
Co-authors
The 15 scholars most cited alongside Zongyang Du, 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 | The trRosetta server for fast and accurate protein structure prediction Hit paper breakdown → | 2021 | 461 |
| 2 | trRosettaRNA: automated prediction of RNA 3D structure with transformer network Hit paper breakdown → | 2023 | 120 |
| 3 | 2021 | 81 | |
| 4 | 2019 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2026 | 0 |
About Zongyang Du
Zongyang Du is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 682 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (2 papers), Machine Learning in Bioinformatics (2 papers), Mass Spectrometry Techniques and Applications (1 paper), Genomics and Phylogenetic Studies (1 paper), Enzyme Structure and Function (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Molecular Biology (510 citations), Computational Theory and Mathematics (58 citations), Biotechnology (30 citations), Microbiology (19 citations) and Structural Biology (4 citations). Zongyang Du has collaborated with scholars based in China, United States and France. Frequent co-authors include Jianyi Yang, Zhenling Peng, Wenkai Wang, Hong Wei, Hong Su, David Baker, Ivan Anishchenko, Renmin Han, Ming‐Ming Cheng and Chenjie Feng. Their work appears in journals such as Bioinformatics, Nature Communications, Advanced Science, Nature Protocols and Communications 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.