Weiren Cui
Impact in
-
- Magnesium Alloys: Properties and Applications
-
- Machine Learning in Bioinformatics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Machine Learning in Bioinformatics 7
- Chemical Synthesis and Analysis 6
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 3
- Advanced biosensing and bioanalysis techniques 3
-
- Click Chemistry and Applications 3
- Co-authors
- Yu‐Dong Cai (13 shared papers)Le‐Le Hu (7 shared papers)Tao Huang (6 shared papers)Kaiyan Feng (7 shared papers)Zhigang Xu (1 shared paper)Charles S. Sfeir (1 shared paper)Elia Beniash (1 shared paper)Yixue Li (5 shared papers)
- Journals
- PLoS ONE (5 papers)Organic Letters (3 papers)Biochemical and Biophysical Research Communications (2 papers)mBio (1 paper)Molecules (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Weiren Cui
29 papers receiving 615 citations
Peers
Comparison fields: 5 of 91
- Biomaterials 94
- Molecular Biology 439
- Organic Chemistry 109
- Computational Theory and Mathematics 52
- Cancer Research 26
Countries citing papers authored by Weiren Cui
This map shows the geographic impact of Weiren Cui'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 Weiren Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiren Cui more than expected).
Fields of papers citing papers by Weiren Cui
This network shows the impact of papers produced by Weiren Cui. 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 Weiren Cui. The network helps show where Weiren Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiren Cui, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 100 | |
| 2 | 2009 | 71 | |
| 3 | 2010 | 65 | |
| 4 | 2014 | 50 | |
| 5 | 2022 | 37 | |
| 6 | 2020 | 37 | |
| 7 | 2020 | 27 | |
| 8 | 2016 | 24 | |
| 9 | Modeling and mutagenesis of the human alpha 1a-adrenoceptor: orientation and function of transmembrane helix V sidechains. | 1996 | 23 |
| 10 | 2013 | 23 | |
| 11 | 2013 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2009 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2024 | 8 |
About Weiren Cui
Weiren Cui is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Cell Biology and Microbiology, having authored 30 papers that have together received 643 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Chemical Synthesis and Analysis (6 papers), RNA and protein synthesis mechanisms (6 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Click Chemistry and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Biomaterials (94 citations), Molecular Biology (439 citations), Organic Chemistry (109 citations), Computational Theory and Mathematics (52 citations) and Cancer Research (26 citations). Weiren Cui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yu‐Dong Cai, Le‐Le Hu, Tao Huang, Kaiyan Feng, Zhigang Xu, Charles S. Sfeir, Elia Beniash, Yixue Li, Ellen S. Gawalt and Zhisong He. Their work appears in journals such as PLoS ONE, Organic Letters, Biochemical and Biophysical Research Communications, mBio and Molecules.
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.