Moosa Tatar

691 citations
20 papers · 371 indexed · 1 hit paper · h-index 10
Topics
COVID-19 epidemiological studies (7 papers)Vaccine Coverage and Hesitancy (4 papers)Influenza Virus Research Studies (3 papers)
Partner nations
United StatesIranGermany

In The Last Decade

Moosa Tatar

16 papers receiving 359 citations

Hit Papers

Estimated Burden of Metabolic Dysfunction–Associated Stea...2025202620251020304050

Peers

Moosa Tatar
Comparison fields: 5 of 95
  • Health 122
  • Epidemiology 103
  • Modeling and Simulation 95
  • Economics and Econometrics 90
  • Infectious Diseases 82
Replace Maddalena Ferranna with:
Maddalena Ferranna United States
Darshan Kothari United States
Dorcas Serwaa Ghana
Francesco Principe Italy
Henrique Lopes Portugal
Xiaomo Xiong United States
Theo Rashid United Kingdom
Oliver Bembom United States
Sandro Cinquetti Italy
Shaofa Nie China
Moosa Tatar relative to Maddalena Ferranna United States Maddalena Ferranna's profile →
Citations per field
00.5×2.6×
Maddalena Ferranna · 1×
Citations per year

Countries citing papers authored by Moosa Tatar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Moosa Tatar

This figure shows the co-authorship network connecting the top 25 collaborators of Moosa Tatar. A scholar is included among the top collaborators of Moosa Tatar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moosa Tatar. Moosa Tatar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3
Estimated Burden of Metabolic Dysfunction–Associated Steatotic Liver Disease in US Adults, 2020 to 2050breakdown →
55
4 0
5 18
6 19
7 3
8 2
9 0
10 4
11 5
12 34
13 28
14 2
15 50
16 9
17 14
18 89
19 16
20 23

About Moosa Tatar

Moosa Tatar is a scholar working on Modeling and Simulation, Health and Toxicology, having authored 20 papers that have together received 371 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Vaccine Coverage and Hesitancy (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (95 citations), Health (122 citations) and Infectious Diseases (82 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, Mark E. Mailliard, Srinivasan Dasarathy, Wen Ye, Phuc Le and Glen B. Taksler. Their work appears in journals such as Scientific Reports, American Journal of Public Health and Energy.

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.

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