Wei Xü
Impact in
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
-
- Natural product bioactivities and synthesis 8
- Co-authors
- Shuwen Liu (7 shared papers)Chan Yang (4 shared papers)Yuan Huang (3 shared papers)Kun Su (1 shared paper)Ailong Huang (1 shared paper)Haijun Deng (1 shared paper)Bo Wu (1 shared paper)Fan Zhang (1 shared paper)
- Journals
- The Journal of Organic Chemistry (7 papers)Organic Letters (5 papers)Tetrahedron (4 papers)Molecules (4 papers)Acta Pharmacologica Sinica (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Xü
206 papers receiving 6.9k citations
Wei Xü's Hit Papers
Peers
Comparison fields: 5 of 178
- Infectious Diseases 3.1k
- Modeling and Simulation 371
- Pharmaceutical Science 231
- Structural Biology 50
- Neurology 527
Countries citing papers authored by Wei Xü
This map shows the geographic impact of Wei Xü'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 Xü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Xü more than expected).
Fields of papers citing papers by Wei Xü
This network shows the impact of papers produced by Wei Xü. 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 Xü. The network helps show where Wei Xü may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Xü, 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections Hit paper breakdown → | 2020 | 1695 |
| 2 | Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19 Hit paper breakdown → | 2020 | 1501 |
| 3 | 2003 | 249 | |
| 4 | 2014 | 179 | |
| 5 | 2021 | 165 | |
| 6 | 2016 | 126 | |
| 7 | 2003 | 125 | |
| 8 | 2019 | 90 | |
| 9 | 2014 | 86 | |
| 10 | 2018 | 84 | |
| 11 | 2006 | 84 | |
| 12 | 2003 | 78 | |
| 13 | 2022 | 73 | |
| 14 | 1996 | 71 | |
| 15 | 2013 | 63 | |
| 16 | 2005 | 63 | |
| 17 | 2022 | 58 | |
| 18 | 2011 | 57 | |
| 19 | 2018 | 48 | |
| 20 | 2000 | 48 |
About Wei Xü
Wei Xü is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Electronic, Optical and Magnetic Materials and Mechanical Engineering, having authored 223 papers that have together received 7.0k indexed citations. Recurring topics across this work include Fluorine in Organic Chemistry (11 papers), Magnetism in coordination complexes (9 papers), Polymer composites and self-healing (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Organic and Molecular Conductors Research (8 papers), Viral Infections and Outbreaks Research (8 papers), Natural product bioactivities and synthesis (8 papers) and Marine Sponges and Natural Products (7 papers). The work is most often cited by research in Infectious Diseases (3.1k citations), Modeling and Simulation (371 citations), Pharmaceutical Science (231 citations), Structural Biology (50 citations) and Neurology (527 citations). Wei Xü has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shuwen Liu, Chan Yang, Yuan Huang, Kun Su, Ailong Huang, Haijun Deng, Bo Wu, Fan Zhang, Yong Zhang and Qin Li. Their work appears in journals such as The Journal of Organic Chemistry, Organic Letters, Tetrahedron, Molecules and Acta Pharmacologica Sinica.
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.