Mike Mannell

895 citations
4 papers · 122 · h-index 3

Impact in

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

Papers in

    • Viral gastroenteritis research and epidemiology 2
    • SARS-CoV-2 and COVID-19 Research 1
    • SARS-CoV-2 detection and testing 1
    • COVID-19 Clinical Research Studies 1
    • Salmonella and Campylobacter epidemiology 2

Mike Mannell

3 papers receiving 119 citations

Peers

Mike Mannell
Comparison fields: 5 of 49
  • Modeling and Simulation 27
  • Infectious Diseases 91
  • Health 16
  • Obstetrics and Gynecology 5
  • General Dentistry 1
Replace Jeffrey van Vliet with:
Jeffrey van Vliet Netherlands
Ozair Naqvi United States
Laura Pezzati Italy
Valerie T J Koh Singapore
Jacquelyn Turcinovic United States
Cuiqin Poh Singapore
Jurandy Júnior Ferraz de Magalhães Brazil
Sophie J. Prosolek United Kingdom
Rupert Antico United Kingdom
Zsolt Friedrich United Kingdom
Mike Mannell relative to Jeffrey van Vliet Netherlands Jeffrey van Vliet's profile →
Citations per field
00.5×1.5×2.3×
Jeffrey van Vliet · 1×
Citations per year

Countries citing papers authored by Mike Mannell

Since Specialization
Citations

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

Fields of papers citing papers by Mike Mannell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mike Mannell, 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 Mike Mannell Line = papers co-authored together Mike Mannell links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Mike Mannell

Mike Mannell is a scholar working on Infectious Diseases, Food Science, Health, Public Health, Environmental and Occupational Health and Endocrinology, having authored 4 papers that have together received 122 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (2 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 epidemiological studies (1 paper), Vibrio bacteria research studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), SARS-CoV-2 detection and testing (1 paper), Vaccine Coverage and Hesitancy (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Modeling and Simulation (27 citations), Infectious Diseases (91 citations), Health (16 citations), Obstetrics and Gynecology (5 citations) and General Dentistry (1 citation). Mike Mannell has collaborated with scholars based in United States. Frequent co-authors include Ozair Naqvi, Kristina Lantz, Katrin Gaardbo Kuhn, Eija Trees, Linda K. Schlater, Kelley Hise, Kara B. De León, Rishabh Shukla, Lauren Stevenson and Betsy Schroeder. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, The Journal of School Nursing and Microorganisms.

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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