Stefan Ma
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 22
- Influenza Virus Research Studies 12
- Respiratory viral infections research 7
-
- COVID-19 epidemiological studies 20
- Co-authors
- E Shyong Tai (21 shared papers)Suok Kai Chew (7 shared papers)S K Chew (4 shared papers)Derrick Heng (26 shared papers)C.T. Tan (1 shared paper)Lyn James (8 shared papers)Chorh Chuan Tan (4 shared papers)Ben S. Cooper (1 shared paper)
- Journals
- PLoS ONE (6 papers)Emerging infectious diseases (5 papers)Diabetes Research and Clinical Practice (3 papers)Vaccine (3 papers)Epidemiology and Infection (3 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Stefan Ma
112 papers receiving 5.0k citations
Stefan Ma's Hit Papers
Peers
Comparison fields: 5 of 171
- Modeling and Simulation 1.2k
- Infectious Diseases 830
- Endocrinology, Diabetes and Metabolism 630
- Epidemiology 1.1k
- Health 255
Countries citing papers authored by Stefan Ma
This map shows the geographic impact of Stefan 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 Stefan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ma more than expected).
Fields of papers citing papers by Stefan Ma
This network shows the impact of papers produced by Stefan 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 Stefan Ma. The network helps show where Stefan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transmission Dynamics and Control of Severe Acute Respiratory Syndrome Hit paper breakdown → | 2003 | 1009 |
| 2 | Can We Apply the National Cholesterol Education Program Adult Treatment Panel Definition of the Metabolic Syndrome to Asians? Hit paper breakdown → | 2004 | 709 |
| 3 | 2020 | 231 | |
| 4 | 2009 | 204 | |
| 5 | 2010 | 158 | |
| 6 | 2006 | 145 | |
| 7 | 2007 | 126 | |
| 8 | 2005 | 120 | |
| 9 | 2006 | 104 | |
| 10 | 2007 | 95 | |
| 11 | 2020 | 91 | |
| 12 | 2014 | 89 | |
| 13 | 2020 | 83 | |
| 14 | 2012 | 69 | |
| 15 | 2009 | 67 | |
| 16 | 2007 | 63 | |
| 17 | 2006 | 57 | |
| 18 | 2003 | 55 | |
| 19 | 2008 | 54 | |
| 20 | 2011 | 54 |
About Stefan Ma
Stefan Ma is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 115 papers that have together received 5.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Influenza Virus Research Studies (12 papers), Health disparities and outcomes (10 papers), Mosquito-borne diseases and control (9 papers), Respiratory viral infections research (7 papers), Malaria Research and Control (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (830 citations), Endocrinology, Diabetes and Metabolism (630 citations), Epidemiology (1.1k citations) and Health (255 citations). Stefan Ma has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include E Shyong Tai, Suok Kai Chew, S K Chew, Derrick Heng, C.T. Tan, Lyn James, Chorh Chuan Tan, Ben S. Cooper, Ted Cohen and David N. Fisman. Their work appears in journals such as PLoS ONE, Emerging infectious diseases, Diabetes Research and Clinical Practice, Vaccine and Epidemiology and Infection.
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.