Mohammed Garout

2.2k citations
71 papers · 1.1k · h-index 19

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 6
    • Tuberculosis Research and Epidemiology 5
    • vaccines and immunoinformatics approaches 7

Mohammed Garout

66 papers receiving 1.1k citations

Peers

Mohammed Garout
Comparison fields: 5 of 131
  • Applied Microbiology and Biotechnology 110
  • Molecular Medicine 146
  • Virology 69
  • Infectious Diseases 196
  • Health Informatics 14
Replace Saad Alhumaid with:
Saad Alhumaid Saudi Arabia
Salequl Islam Bangladesh
Abi Manesh India
Oğuz Karabay Türkiye
Wondwossen Amogne Ethiopia
Sonia Younas Pakistan
Halidou Tinto Burkina Faso
Samer S. El‐Kamary United States
Ahmed Babiker United States
Oryan Henig Israel
Mohammed Garout relative to Saad Alhumaid Saudi Arabia Saad Alhumaid's profile →
Citations per field
00.5×3.9×
Saad Alhumaid · 1×
Citations per year

Countries citing papers authored by Mohammed Garout

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Garout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammed Garout, 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 Garout Line = papers co-authored together Mohammed Garout links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023106
2 202279
3 202374
4 202163
5 202253
6 202347
7 200744
8 201643
9 202242
10 202036
11 202329
12 202223
13 202222
14 201622
15 202221
16 202221
17 202420
18 202319
19 201719
20 202318

About Mohammed Garout

Mohammed Garout is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Virology and Public Health, Environmental and Occupational Health, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Antibiotic Use and Resistance (8 papers), Antibiotic Resistance in Bacteria (7 papers), Poxvirus research and outbreaks (7 papers), vaccines and immunoinformatics approaches (7 papers), COVID-19 Clinical Research Studies (6 papers), Computational Drug Discovery Methods (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (110 citations), Molecular Medicine (146 citations), Virology (69 citations), Infectious Diseases (196 citations) and Health Informatics (14 citations). Mohammed Garout has collaborated with scholars based in Saudi Arabia, Pakistan and Malaysia. Frequent co-authors include Ali A. Rabaan, Muhammad A. Halwani, Ahmad A. Alshehri, Mohammed Alissa, Naveed Ahmed, Saad Alhumaid, Amer Alshengeti, Mohammed Aljeldah, Abbas Al Mutair and Chan Yean Yean. Their work appears in journals such as Antibiotics, Vaccines, Molecular Diversity, Pathogens and Journal of Biomolecular Structure and Dynamics.

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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