Mohammed Al‐Thani

964 citations
43 papers · 552 indexed · h-index 13

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing

Papers in

Mohammed Al‐Thani

39 papers receiving 545 citations

Peers

Mohammed Al‐Thani
Comparison fields: 5 of 117
  • Modeling and Simulation 66
  • Infectious Diseases 219
  • Public Health, Environmental and Occupational Health 148
  • Animal Science and Zoology 49
  • Endocrinology, Diabetes and Metabolism 58
Replace Anita Kurian with:
Anita Kurian United States
Mathuros Tipayamongkholgul Thailand
Ana Paula Rodrigues Portugal
Yunxia Liu China
Dennis M. Perrotta United States
Dusit Sujirarat Thailand
Gerard Fitzsimmons Australia
Cordelia Coltart United Kingdom
Luma Akil United States
Lokman Hakim Sulaiman Malaysia
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Citations per field
00.5×4.7×
Anita Kurian · 1×
Citations per year

Countries citing papers authored by Mohammed Al‐Thani

Since Specialization
Citations

This map shows the geographic impact of Mohammed Al‐Thani'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 Mohammed Al‐Thani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Al‐Thani more than expected).

Fields of papers citing papers by Mohammed Al‐Thani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Al‐Thani. 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 Mohammed Al‐Thani. The network helps show where Mohammed Al‐Thani may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mohammed Al‐Thani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammed Al‐Thani Line = papers co-authored together Mohammed Al‐Thani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20252
3 20232
4 20232
5 20238
6 20234
7 20231
8 202218
9 20214
10 202112
11 20214
12 202115
13 201817
14 20182
15 201715
16 201744
17 20174
18 201521
19 201118
20 201126

About Mohammed Al‐Thani

Mohammed Al‐Thani is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, General Dentistry, Endocrinology, Diabetes and Metabolism and Modeling and Simulation, having authored 43 papers that have together received 552 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Mosquito-borne diseases and control (7 papers), Malaria Research and Control (7 papers), Viral Infections and Vectors (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Child Nutrition and Water Access (5 papers), Obesity, Physical Activity, Diet (5 papers) and Diabetes Management and Education (4 papers). The work is most often cited by research in Modeling and Simulation (66 citations), Infectious Diseases (219 citations), Public Health, Environmental and Occupational Health (148 citations), Animal Science and Zoology (49 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Mohammed Al‐Thani has collaborated with scholars based in Qatar, United States and United Kingdom. Frequent co-authors include Hammad Akram, Hamad Eid Al‐Romaihi, Walaa Al-Chetachi, Elmoubasher Farag, Ravinder Mamtani, Javaid I. Sheikh, Benjamin Vinodson, Khaled A. Mohran, Bart L. Haagmans and Marcel Jonges. Their work appears in journals such as Frontiers in Public Health, Public Health, The Lancet Oncology, Parasite and BMJ Open.

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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