Renzhi Cao
- Structural Biology top 5%
- Molecular Biology top 5%
- Protein Structure and Dynamics 23
- Machine Learning in Bioinformatics 19
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 9
- Bioinformatics and Genomic Networks 8
- Microbial Metabolic Engineering and Bioproduction 6
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- Computational Drug Discovery Methods 9
- Health Informatics top 10%
- Microbiology top 10%
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- Enzyme Structure and Function 18
- Co-authors
- Jianlin ChengDebswapna BhattacharyaJie HouLeong ChanBadri AdhikariTianqi WuZhangxin ChenYiheng Wang
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (4 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Renzhi Cao
52 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 142
- Structural Biology 45
- Molecular Biology 1.6k
- Computational Theory and Mathematics 343
- Health Informatics 17
- Microbiology 53
Countries citing papers authored by Renzhi Cao
This map shows the geographic impact of Renzhi Cao'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 Renzhi Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renzhi Cao more than expected).
Fields of papers citing papers by Renzhi Cao
This network shows the impact of papers produced by Renzhi Cao. 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 Renzhi Cao. The network helps show where Renzhi Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Renzhi Cao, 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 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 68 | |
| 15 | 2020 | 62 | |
| 16 | 2019 | 29 | |
| 17 | 2019 | 117 | |
| 18 | 2019 | 54 | |
| 19 | 2016 | 24 | |
| 20 | 2015 | 17 |
About Renzhi Cao
Renzhi Cao is a scholar working on Structural Biology, Molecular Biology and Computational Theory and Mathematics, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (23 papers), Machine Learning in Bioinformatics (19 papers), Enzyme Structure and Function (18 papers), RNA and protein synthesis mechanisms (10 papers), Computational Drug Discovery Methods (9 papers), Genomics and Phylogenetic Studies (9 papers), Bioinformatics and Genomic Networks (8 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Structural Biology (45 citations), Molecular Biology (1.6k citations) and Computational Theory and Mathematics (343 citations). Renzhi Cao has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Jianlin Cheng, Debswapna Bhattacharya, Jie Hou, Leong Chan, Badri Adhikari, Tianqi Wu, Zhangxin Chen, Yiheng Wang, Zheng Wang and Dong Si. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and 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.