Yanrui Ding
Impact in
- Biotechnology top 10%
- Microbial Metabolism and Applications
-
- Fungal Biology and Applications
- Microbial Natural Products and Biosynthesis
Papers in
-
- Protein Structure and Dynamics 12
- Machine Learning in Bioinformatics 5
- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 5
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- Computational Drug Discovery Methods 9
- Co-authors
- Yujie Cai (20 shared papers)Xiangru Liao (8 shared papers)Jun Sun (5 shared papers)Yanyan Wu (5 shared papers)Dabing Zhang (3 shared papers)Xiaohui Liang (2 shared papers)Xiaoxia Wang (5 shared papers)Wenbo Xu (3 shared papers)
- Journals
- Process Biochemistry (2 papers)Ecological Indicators (2 papers)Journal of Theoretical Biology (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Food Bioscience (2 papers)
- Partner nations
- China
In The Last Decade
Yanrui Ding
46 papers receiving 524 citations
Peers
Comparison fields: 5 of 108
- Biotechnology 86
- Pharmacology 77
- Molecular Biology 260
- Cancer Research 44
- Plant Science 97
Countries citing papers authored by Yanrui Ding
This map shows the geographic impact of Yanrui Ding'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 Yanrui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanrui Ding more than expected).
Fields of papers citing papers by Yanrui Ding
This network shows the impact of papers produced by Yanrui Ding. 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 Yanrui Ding. The network helps show where Yanrui Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanrui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 47 | |
| 2 | 2013 | 45 | |
| 3 | 2008 | 44 | |
| 4 | 2009 | 43 | |
| 5 | 2004 | 40 | |
| 6 | 2009 | 37 | |
| 7 | 2019 | 35 | |
| 8 | 2010 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2010 | 18 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2010 | 13 | |
| 14 | 2013 | 12 | |
| 15 | 2011 | 11 | |
| 16 | 2025 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2017 | 8 |
About Yanrui Ding
Yanrui Ding is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Biotechnology and Plant Science, having authored 53 papers that have together received 543 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (9 papers), Enzyme Structure and Function (5 papers), Machine Learning in Bioinformatics (5 papers), Cancer-related molecular mechanisms research (5 papers), Bioinformatics and Genomic Networks (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Microbial Metabolism and Applications (4 papers). The work is most often cited by research in Biotechnology (86 citations), Pharmacology (77 citations), Molecular Biology (260 citations), Cancer Research (44 citations) and Plant Science (97 citations). Yanrui Ding has collaborated with scholars based in China. Frequent co-authors include Yujie Cai, Xiangru Liao, Jun Sun, Yanyan Wu, Dabing Zhang, Xiaohui Liang, Xiaoxia Wang, Wenbo Xu, Jie Wang and Lei Wang. Their work appears in journals such as Process Biochemistry, Ecological Indicators, Journal of Theoretical Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Food Bioscience.
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.