Chunna Ma
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 28
- Influenza Virus Research Studies 28
- Respiratory viral infections research 10
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- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Outbreaks Research 2
- Co-authors
- Quanyi Wang (39 shared papers)Peng Yang (27 shared papers)Shuangsheng Wu (26 shared papers)Yi Zhang (11 shared papers)Li Zhang (14 shared papers)Daitao Zhang (14 shared papers)Ying Sun (16 shared papers)Haiyue Li (2 shared papers)
- Journals
- Human Vaccines & Immunotherapeutics (5 papers)Vaccine (3 papers)International Journal of Infectious Diseases (2 papers)PLoS ONE (2 papers)BMC Public Health (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chunna Ma
37 papers receiving 515 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 55
- Epidemiology 337
- Agronomy and Crop Science 65
- Infectious Diseases 108
- Health 45
Countries citing papers authored by Chunna Ma
This map shows the geographic impact of Chunna 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 Chunna Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunna Ma more than expected).
Fields of papers citing papers by Chunna Ma
This network shows the impact of papers produced by Chunna 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 Chunna Ma. The network helps show where Chunna Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunna 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 55 | |
| 2 | 2015 | 54 | |
| 3 | 2014 | 35 | |
| 4 | 2015 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2012 | 29 | |
| 7 | 2016 | 24 | |
| 8 | 2016 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2018 | 17 | |
| 11 | 2013 | 15 | |
| 12 | 2016 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2019 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2014 | 11 |
About Chunna Ma
Chunna Ma is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 523 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (28 papers), Respiratory viral infections research (10 papers), COVID-19 epidemiological studies (5 papers), Animal Disease Management and Epidemiology (5 papers), Streptococcal Infections and Treatments (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Outbreaks Research (2 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in Modeling and Simulation (55 citations), Epidemiology (337 citations), Agronomy and Crop Science (65 citations), Infectious Diseases (108 citations) and Health (45 citations). Chunna Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quanyi Wang, Peng Yang, Shuangsheng Wu, Yi Zhang, Li Zhang, Daitao Zhang, Ying Sun, Haiyue Li, Yang Pan and Wei Duan. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, International Journal of Infectious Diseases, PLoS ONE and BMC Public Health.
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.