Tina-Marie Assi
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Health 6
- Vaccine Coverage and Hesitancy 6
-
- Influenza Virus Research Studies 3
- Pneumonia and Respiratory Infections 2
- Co-authors
- Bruce Y. Lee (13 shared papers)Rachel R. Bailey (9 shared papers)Shawn T. Brown (11 shared papers)Donald S. Burke (9 shared papers)Ann E. Wiringa (5 shared papers)Bryan A. Norman (8 shared papers)Jayant Rajgopal (8 shared papers)William D. Wheaton (3 shared papers)
- Journals
- Vaccine (6 papers)Clinical Infectious Diseases (1 paper)American Journal of Preventive Medicine (1 paper)BMC Public Health (1 paper)Journal of Public Health Management and Practice (1 paper)
- Partner nations
- United StatesThailandSwitzerland
In The Last Decade
Tina-Marie Assi
15 papers receiving 808 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 273
- Health 201
- Business and International Management 33
- Epidemiology 262
- Infectious Diseases 123
Countries citing papers authored by Tina-Marie Assi
This map shows the geographic impact of Tina-Marie Assi'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 Tina-Marie Assi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina-Marie Assi more than expected).
Fields of papers citing papers by Tina-Marie Assi
This network shows the impact of papers produced by Tina-Marie Assi. 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 Tina-Marie Assi. The network helps show where Tina-Marie Assi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tina-Marie Assi, 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 | 2010 | 138 | |
| 2 | 2010 | 113 | |
| 3 | 2010 | 87 | |
| 4 | 2009 | 84 | |
| 5 | 2009 | 82 | |
| 6 | 2011 | 72 | |
| 7 | 2013 | 55 | |
| 8 | 2011 | 44 | |
| 9 | 2011 | 41 | |
| 10 | 2011 | 40 | |
| 11 | 2014 | 34 | |
| 12 | 2012 | 32 | |
| 13 | 2011 | 19 | |
| 14 | 2009 | 15 | |
| 15 | Impacts of vaccine cold chain logistics on vaccine epidemiology | 2011 | 1 |
About Tina-Marie Assi
Tina-Marie Assi is a scholar working on Health, Epidemiology, Infectious Diseases, Modeling and Simulation and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 857 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (6 papers), Influenza Virus Research Studies (3 papers), COVID-19 epidemiological studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Pneumonia and Respiratory Infections (2 papers), Food Supply Chain Traceability (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Healthcare Operations and Scheduling Optimization (1 paper). The work is most often cited by research in Modeling and Simulation (273 citations), Health (201 citations), Business and International Management (33 citations), Epidemiology (262 citations) and Infectious Diseases (123 citations). Tina-Marie Assi has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Bruce Y. Lee, Rachel R. Bailey, Shawn T. Brown, Donald S. Burke, Ann E. Wiringa, Bryan A. Norman, Jayant Rajgopal, William D. Wheaton, Philip C. Cooley and Richard K. Zimmerman. Their work appears in journals such as Vaccine, Clinical Infectious Diseases, American Journal of Preventive Medicine, BMC Public Health and Journal of Public Health Management and Practice.
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.