Zhuoming Liu
- Infectious Diseases top 0.5%
- Molecular Biology top 10%
- Epidemiology top 10%
- Immunology top 10%
- Animal Science and Zoology top 2%
- Co-authors
- Sean P. J. WhelanPaul W. RothlaufMichael DiamondBroc T. McCuneXin WangKevin BruloisMaría Florencia Gómez CastroQiru Zeng
- Topics
- SARS-CoV-2 and COVID-19 Research (12 papers)Virus-based gene therapy research (6 papers)Herpesvirus Infections and Treatments (6 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Zhuoming Liu
40 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 1.7k
- Molecular Biology 733
- Epidemiology 402
- Immunology 345
- Animal Science and Zoology 239
Countries citing papers authored by Zhuoming Liu
This map shows the geographic impact of Zhuoming Liu'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 Zhuoming Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuoming Liu more than expected).
Fields of papers citing papers by Zhuoming Liu
This network shows the impact of papers produced by Zhuoming Liu. 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 Zhuoming Liu. The network helps show where Zhuoming Liu may publish in the future.
Co-authorship network of co-authors of Zhuoming Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoming Liu. A scholar is included among the top collaborators of Zhuoming Liu 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 Zhuoming Liu. Zhuoming Liu 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 | 1 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | Identification of SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralizationbreakdown → | 448 |
| 11 | 17 | |
| 12 | 133 | |
| 13 | TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytesbreakdown → | 674 |
| 14 | 29 | |
| 15 | 37 | |
| 16 | 73 | |
| 17 | 10 | |
| 18 | 13 | |
| 19 | 39 | |
| 20 | Bacillus thuringiensis Collection and Isolates Identification from Damingshan and Dawangling Natural Reserves in Guangxi Province | 1 |
About Zhuoming Liu
Zhuoming Liu is a scholar working on Infectious Diseases, Genetics and Virology, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Virus-based gene therapy research (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Animal Science and Zoology (239 citations) and Modeling and Simulation (76 citations). Zhuoming Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Sean P. J. Whelan, Paul W. Rothlauf, Michael Diamond, Broc T. McCune, Xin Wang, Kevin Brulois, María Florencia Gómez Castro, Qiru Zeng, Naomi Sonnek and Ruochen Zang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.