Mohammed Qutub

430 citations
19 papers · 301 · h-index 9

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 3
    • SARS-CoV-2 detection and testing 2
    • Antifungal resistance and susceptibility 2
    • Parvovirus B19 Infection Studies 2
    • Herpesvirus Infections and Treatments 3
    • Mycobacterium research and diagnosis 2
    • Cytomegalovirus and herpesvirus research 2

Mohammed Qutub

19 papers receiving 294 citations

Peers

Mohammed Qutub
Comparison fields: 5 of 57
  • Molecular Medicine 99
  • Applied Microbiology and Biotechnology 36
  • Infectious Diseases 116
  • Modeling and Simulation 16
  • Epidemiology 83
Replace Vasant Nagvekar with:
Vasant Nagvekar India
Nikole M. Scalera United States
María Consuelo Miranda Colombia
Daniel Pryluka Argentina
Emmanuelle Varon France
Zhi-Yuan Shi Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Mohammed Qutub

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Qutub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201569
2 201965
3 202044
4 202224
5 202217
6 201511
7 202211
8 20069
9 20019
10 20247
11 20197
12 20037
13 20226
14 20225
15 20243
16 20013
17 20182
18 20211
19 20001

About Mohammed Qutub

Mohammed Qutub is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Surgery and Molecular Biology, having authored 19 papers that have together received 301 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Tuberculosis Research and Epidemiology (3 papers), Herpesvirus Infections and Treatments (3 papers), SARS-CoV-2 detection and testing (2 papers), Mycobacterium research and diagnosis (2 papers), Antifungal resistance and susceptibility (2 papers), Parvovirus B19 Infection Studies (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Molecular Medicine (99 citations), Applied Microbiology and Biotechnology (36 citations), Infectious Diseases (116 citations), Modeling and Simulation (16 citations) and Epidemiology (83 citations). Mohammed Qutub has collaborated with scholars based in Saudi Arabia, United States and United Kingdom. Frequent co-authors include Basem Alraddadi, Abeer N. Alshukairi, Ghassan Wali, Daniel R. Feikin, John T. Watson, Ikwo Oboho, Bernard J. Wolff, Aaron T. Curns, Sara Tomczyk and Tariq A. Madani. Their work appears in journals such as Journal of Infection and Public Health, BMC Infectious Diseases, International Journal of STD & AIDS, European Journal of Epidemiology and Journal of Clinical Microbiology.

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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