Moosa Tatar
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- Liver Disease Diagnosis and Treatment 2
- Influenza Virus Research Studies 2
-
- COVID-19 epidemiological studies 5
- Co-authors
- Fernando A. Wilson (14 shared papers)Mohammad Reza Faraji (6 shared papers)Abolfazl Mollalo (1 shared paper)José A. Pagán (3 shared papers)Vahid Mohamad Taghvaee (3 shared papers)Abhishek Deshpande (2 shared papers)Glen B. Taksler (1 shared paper)Srinivasan Dasarathy (2 shared papers)
- Journals
- Journal of Global Health (3 papers)JAMA Network Open (3 papers)Informatics for Health and Social Care (1 paper)Scientific Reports (1 paper)Journal of Managed Care & Specialty Pharmacy (1 paper)
- Partner nations
- United StatesIranGermany
In The Last Decade
Moosa Tatar
16 papers receiving 398 citations
Moosa Tatar's Hit Papers
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 73
- Health 105
- Hepatology 31
- Infectious Diseases 56
- Epidemiology 86
Countries citing papers authored by Moosa Tatar
This map shows the geographic impact of Moosa Tatar'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 Moosa Tatar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moosa Tatar more than expected).
Fields of papers citing papers by Moosa Tatar
This network shows the impact of papers produced by Moosa Tatar. 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 Moosa Tatar. The network helps show where Moosa Tatar may publish in the future.
Co-authors
The 25 scholars most cited alongside Moosa Tatar, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 90 | |
| 2 | Estimated Burden of Metabolic Dysfunction–Associated Steatotic Liver Disease in US Adults, 2020 to 2050 Hit paper breakdown → | 2025 | 82 |
| 3 | 2021 | 50 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 24 | |
| 7 | 2024 | 21 | |
| 8 | 2024 | 21 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Moosa Tatar
Moosa Tatar is a scholar working on Epidemiology, Modeling and Simulation, Health, Economics and Econometrics and Infectious Diseases, having authored 22 papers that have together received 411 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (4 papers), Energy, Environment, Economic Growth (2 papers), COVID-19 and healthcare impacts (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Influenza Virus Research Studies (2 papers), State Capitalism and Financial Governance (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Modeling and Simulation (73 citations), Health (105 citations), Hepatology (31 citations), Infectious Diseases (56 citations) and Epidemiology (86 citations). Moosa Tatar has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Fernando A. Wilson, Mohammad Reza Faraji, Abolfazl Mollalo, José A. Pagán, Vahid Mohamad Taghvaee, Abhishek Deshpande, Glen B. Taksler, Srinivasan Dasarathy, Naim Alkhouri and Arthur J. McCullough. Their work appears in journals such as Journal of Global Health, JAMA Network Open, Informatics for Health and Social Care, Scientific Reports and Journal of Managed Care & Specialty Pharmacy.
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.