Junling Ma
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Gastroenterology top 2%
Papers in
-
- COVID-19 epidemiological studies 30
-
- Mathematical and Theoretical Epidemiology and Ecology Models 22
- Co-authors
- David J. D. Earn (9 shared papers)Wei‐Cheng You (51 shared papers)Kai‐Feng Pan (47 shared papers)Lian Zhang (22 shared papers)Jiyou Li (19 shared papers)Weidong Liu (25 shared papers)Pauline Van den Driessche (16 shared papers)Jonathan G. Dushoff (7 shared papers)
- Journals
- Journal of Mathematical Biology (8 papers)Bulletin of Mathematical Biology (8 papers)Journal of Theoretical Biology (5 papers)PLoS ONE (4 papers)Cancer Epidemiology Biomarkers & Prevention (4 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Junling Ma
125 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 174
- Modeling and Simulation 1.2k
- Gastroenterology 243
- Surgery 1.7k
- Public Health, Environmental and Occupational Health 894
- Endocrinology 161
Countries citing papers authored by Junling Ma
This map shows the geographic impact of Junling 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 Junling Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Ma more than expected).
Fields of papers citing papers by Junling Ma
This network shows the impact of papers produced by Junling 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 Junling Ma. The network helps show where Junling Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Junling 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 382 | |
| 2 | 2019 | 240 | |
| 3 | 2011 | 232 | |
| 4 | 2006 | 208 | |
| 5 | 2019 | 205 | |
| 6 | 2020 | 185 | |
| 7 | 2012 | 180 | |
| 8 | 2010 | 164 | |
| 9 | 2015 | 160 | |
| 10 | 1999 | 158 | |
| 11 | 2014 | 149 | |
| 12 | 2011 | 138 | |
| 13 | 2014 | 129 | |
| 14 | 2006 | 128 | |
| 15 | 2018 | 117 | |
| 16 | 2015 | 113 | |
| 17 | 2005 | 112 | |
| 18 | 2013 | 110 | |
| 19 | 2006 | 88 | |
| 20 | 2013 | 76 |
About Junling Ma
Junling Ma is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Surgery, Statistical and Nonlinear Physics and Genetics, having authored 132 papers that have together received 5.1k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (37 papers), COVID-19 epidemiological studies (30 papers), Mathematical and Theoretical Epidemiology and Ecology Models (22 papers), Evolution and Genetic Dynamics (17 papers), Complex Network Analysis Techniques (15 papers), Gastric Cancer Management and Outcomes (13 papers), Influenza Virus Research Studies (10 papers) and Opinion Dynamics and Social Influence (8 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Gastroenterology (243 citations), Surgery (1.7k citations), Public Health, Environmental and Occupational Health (894 citations) and Endocrinology (161 citations). Junling Ma has collaborated with scholars based in China, Canada and United States. Frequent co-authors include David J. D. Earn, Wei‐Cheng You, Kai‐Feng Pan, Lian Zhang, Jiyou Li, Weidong Liu, Pauline Van den Driessche, Jonathan G. Dushoff, Mitchell H. Gail and Zhien Ma. Their work appears in journals such as Journal of Mathematical Biology, Bulletin of Mathematical Biology, Journal of Theoretical Biology, PLoS ONE and Cancer Epidemiology Biomarkers & Prevention.
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.