Wei Zheng
- Molecular Biology top 1%
- Infectious Diseases top 0.5%
- Physiology top 1%
- Computational Theory and Mathematics top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Anton SimeonovChristopher P. AustinJames IngleseNoel SouthallWei SunCatherine Z. ChenDouglas S. AuldJohn C. McKew
- Topics
- Lysosomal Storage Disorders Research (52 papers)SARS-CoV-2 and COVID-19 Research (27 papers)Computational Drug Discovery Methods (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wei Zheng
360 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 6.0k
- Infectious Diseases 1.7k
- Physiology 1.5k
- Computational Theory and Mathematics 1.3k
- Cellular and Molecular Neuroscience 1.2k
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 of co-authors of Wei Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Zheng. A scholar is included among the top collaborators of Wei Zheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Zheng. Wei Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 32 | |
| 8 | 49 | |
| 9 | 94 | |
| 10 | 83 | |
| 11 | 108 | |
| 12 | 4 | |
| 13 | 473 | |
| 14 | Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical librariesbreakdown → | 623 |
| 15 | 29 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 90 | |
| 20 | 310 |
About Wei Zheng
Wei Zheng is a scholar working on Physiology, Infectious Diseases and Molecular Biology, having authored 382 papers that have together received 12.6k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (52 papers), SARS-CoV-2 and COVID-19 Research (27 papers) and Computational Drug Discovery Methods (22 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Molecular Biology (6.0k citations) and Computational Theory and Mathematics (1.3k citations). Wei Zheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Anton Simeonov, Christopher P. Austin, James Inglese, Noel Southall, Wei Sun, Catherine Z. Chen, Douglas S. Auld, John C. McKew, Juan Marugán and Natasha Thorne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.