Xiaobing Mo
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
- Genetics 7
- Virus-based gene therapy research 7
-
- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Bo Yin (5 shared papers)Y. Adam Yuan (4 shared papers)Xiangdong Li (4 shared papers)Kegong Tian (3 shared papers)Peter C. Doherty (1 shared paper)Rhonda D. Cardin (1 shared paper)Sally R. Sarawar (1 shared paper)J. W. Brooks (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Virology (1 paper)The Journal of Immunology (1 paper)Enzyme and Microbial Technology (1 paper)Microchemical Journal (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaobing Mo
17 papers receiving 370 citations
Peers
Comparison fields: 5 of 48
- Animal Science and Zoology 103
- Agronomy and Crop Science 51
- Infectious Diseases 85
- Epidemiology 138
- Immunology 77
Countries citing papers authored by Xiaobing Mo
This map shows the geographic impact of Xiaobing Mo'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 Xiaobing Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Mo more than expected).
Fields of papers citing papers by Xiaobing Mo
This network shows the impact of papers produced by Xiaobing Mo. 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 Xiaobing Mo. The network helps show where Xiaobing Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 74 | |
| 2 | 2016 | 62 | |
| 3 | 2019 | 55 | |
| 4 | 2019 | 39 | |
| 5 | 1997 | 30 | |
| 6 | 2016 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 16 | |
| 9 | 2020 | 15 | |
| 10 | [Expression, purification and immunogenicity analysis of HPV type 18 virus-like particles from Escherichia coli]. | 2009 | 14 |
| 11 | 2020 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Xiaobing Mo
Xiaobing Mo is a scholar working on Genetics, Infectious Diseases, Epidemiology, Molecular Biology and Animal Science and Zoology, having authored 19 papers that have together received 373 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (5 papers), CRISPR and Genetic Engineering (3 papers), Cervical Cancer and HPV Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Respiratory viral infections research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Animal Science and Zoology (103 citations), Agronomy and Crop Science (51 citations), Infectious Diseases (85 citations), Epidemiology (138 citations) and Immunology (77 citations). Xiaobing Mo has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Bo Yin, Y. Adam Yuan, Xiangdong Li, Kegong Tian, Peter C. Doherty, Rhonda D. Cardin, Sally R. Sarawar, J. W. Brooks, Junhua Deng and Mark Y. Sangster. Their work appears in journals such as Nature Communications, Journal of Virology, The Journal of Immunology, Enzyme and Microbial Technology and Microchemical Journal.
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.