Xuejun Ma
Impact in
- Infectious Diseases top 0.02%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
Papers in
-
- Viral gastroenteritis research and epidemiology 35
- Epidemiology 49
- Respiratory viral infections research 29
- Cytomegalovirus and herpesvirus research 11
- Co-authors
- Peihua Niu (14 shared papers)Wenjie Tan (8 shared papers)Guizhen Wu (4 shared papers)George F. Gao (4 shared papers)Xiang Zhao (4 shared papers)Wenbo Xu (5 shared papers)Dayan Wang (7 shared papers)Roujian Lu (3 shared papers)
In The Last Decade
Xuejun Ma
134 papers receiving 21.5k citations
Xuejun Ma's Hit Papers
Peers
Comparison fields: 5 of 208
- Infectious Diseases 11.3k
- Modeling and Simulation 1.7k
- General Dentistry 390
- Neurology 2.4k
- Obstetrics and Gynecology 797
Countries citing papers authored by Xuejun Ma
This map shows the geographic impact of Xuejun Ma'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 Xuejun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuejun Ma more than expected).
Fields of papers citing papers by Xuejun Ma
This network shows the impact of papers produced by Xuejun Ma. 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 Xuejun Ma. The network helps show where Xuejun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuejun Ma, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Novel Coronavirus from Patients with Pneumonia in China, 2019 Hit paper breakdown → | 2020 | 19082 |
| 2 | A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020 Hit paper breakdown → | 2020 | 501 |
| 3 | 2011 | 208 | |
| 4 | 2005 | 129 | |
| 5 | 2009 | 93 | |
| 6 | 2010 | 85 | |
| 7 | 2020 | 80 | |
| 8 | 2016 | 80 | |
| 9 | 2019 | 77 | |
| 10 | 2010 | 58 | |
| 11 | 2018 | 55 | |
| 12 | 2017 | 55 | |
| 13 | 2011 | 53 | |
| 14 | 2015 | 51 | |
| 15 | 2012 | 51 | |
| 16 | 2014 | 46 | |
| 17 | 2012 | 46 | |
| 18 | 2013 | 44 | |
| 19 | 2013 | 43 | |
| 20 | 2015 | 41 |
About Xuejun Ma
Xuejun Ma is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering, having authored 139 papers that have together received 22.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (35 papers), Respiratory viral infections research (29 papers), Viral Infections and Immunology Research (29 papers), Biosensors and Analytical Detection (17 papers), Cytomegalovirus and herpesvirus research (11 papers), Animal Virus Infections Studies (10 papers), Animal Disease Management and Epidemiology (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). The work is most often cited by research in Infectious Diseases (11.3k citations), Modeling and Simulation (1.7k citations), General Dentistry (390 citations), Neurology (2.4k citations) and Obstetrics and Gynecology (797 citations). Xuejun Ma has collaborated with scholars based in China, Sweden and Taiwan. Frequent co-authors include Peihua Niu, Wenjie Tan, Guizhen Wu, George F. Gao, Xiang Zhao, Wenbo Xu, Dayan Wang, Roujian Lu, Na Zhu and Jingdong Song. Their work appears in journals such as Archives of Virology, PLoS ONE, Virology Journal, Journal of Clinical Microbiology and BMC Infectious Diseases.
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.