Cong Xu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Structural Biology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 3
- Ubiquitin and proteasome pathways 3
- Lipid Membrane Structure and Behavior 2
-
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Yao Cong (13 shared papers)Yifan Wang (8 shared papers)Yanxing Wang (6 shared papers)Zhong Huang (6 shared papers)Chao Zhang (5 shared papers)Hong Qin (4 shared papers)Wenyu Han (4 shared papers)Caixuan Liu (4 shared papers)
- Journals
- Nature Communications (6 papers)npj Computational Materials (1 paper)Cancer Research (1 paper)Cell Research (1 paper)Frontiers in Ecology and Evolution (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Cong Xu
23 papers receiving 781 citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 407
- Structural Biology 16
- Molecular Biology 423
- Computational Theory and Mathematics 78
- Cell Biology 75
Countries citing papers authored by Cong Xu
This map shows the geographic impact of Cong Xu'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 Cong Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Xu more than expected).
Fields of papers citing papers by Cong Xu
This network shows the impact of papers produced by Cong Xu. 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 Cong Xu. The network helps show where Cong Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Xu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 262 | |
| 2 | 2022 | 116 | |
| 3 | 2021 | 94 | |
| 4 | 2021 | 66 | |
| 5 | 2017 | 46 | |
| 6 | 2017 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 20 | |
| 9 | 2024 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2024 | 9 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 2 |
About Cong Xu
Cong Xu is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 787 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Immunology Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Allergic Rhinitis and Sensitization (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Infectious Diseases (407 citations), Structural Biology (16 citations), Molecular Biology (423 citations), Computational Theory and Mathematics (78 citations) and Cell Biology (75 citations). Cong Xu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yao Cong, Yifan Wang, Yanxing Wang, Zhong Huang, Chao Zhang, Hong Qin, Wenyu Han, Caixuan Liu, Liangliang Kong and Shiqi Xu. Their work appears in journals such as Nature Communications, npj Computational Materials, Cancer Research, Cell Research and Frontiers in Ecology and Evolution.
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.