Zhikai Xu
- Infectious Diseases top 5%
- Epidemiology top 10%
- Molecular Biology
- Immunology
- Hepatology top 5%
- Topics
- Tuberculosis Research and Epidemiology (28 papers)Mycobacterium research and diagnosis (11 papers)Viral Infections and Vectors (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Immunology
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Zhikai Xu
57 papers receiving 761 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 442
- Epidemiology 388
- Molecular Biology 198
- Immunology 191
- Hepatology 147
Countries citing papers authored by Zhikai Xu
This map shows the geographic impact of Zhikai 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 Zhikai Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhikai Xu more than expected).
Fields of papers citing papers by Zhikai Xu
This network shows the impact of papers produced by Zhikai 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 Zhikai Xu. The network helps show where Zhikai Xu may publish in the future.
Co-authorship network of co-authors of Zhikai Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhikai Xu. A scholar is included among the top collaborators of Zhikai Xu 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 Zhikai Xu. Zhikai Xu 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 | 9 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | 39 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Establishment of a mouse model of infection with rifampicin-resistant Mycobacterium tuberculosis | 1 |
| 10 | Research and applications of monoclonal antibodies in viral disease therapy | 1 |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 76 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | Construction and identification of recombinant adenovirus containing chimeric gene G1S0.7 of Hantaan virus | 1 |
| 18 | Cloning and expression of secreted protein MPT64 of Mycobacterium tuberculosis | 1 |
| 19 | Gene vaccination of Mycobacterium tuberculosis DNA vaccine encoding mature form of Ag85B | 1 |
| 20 | Preliminary immunological identification of Hantaan virus recombinant nucleoprotein and its 26 ku segment | 1 |
About Zhikai Xu
Zhikai Xu is a scholar working on Infectious Diseases, Molecular Medicine and Immunology, having authored 60 papers that have together received 777 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (28 papers), Mycobacterium research and diagnosis (11 papers) and Viral Infections and Vectors (11 papers). The work is most often cited by research in Infectious Diseases (442 citations), Hepatology (147 citations) and Epidemiology (388 citations). Zhikai Xu has collaborated with scholars based in China, United States and France. Frequent co-authors include Changhong Shi, Yinlan Bai, Fengfeng Mao, Hai Zhang, Dongping Xu, Bing Bai, Limei Wang, Yanwei Zhong, Ren Xiaoqiang and Fabien Zoulim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.
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.