Janetta E. Skarp

10 papers receiving 426 citations

Janetta E. Skarp's Hit Papers

Mosquito feeding behavior and how it influences residual malaria transmission across Africa 2019 · 195 citations
1950+2+4Years since publication50100150

Peers

Janetta E. Skarp
Comparison fields: 5 of 74
  • Modeling and Simulation 71
  • Public Health, Environmental and Occupational Health 213
  • Infectious Diseases 46
  • General Dentistry 1
  • Clinical Psychology 23
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Alexandra Teslya Netherlands
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Citations per year

Countries citing papers authored by Janetta E. Skarp

Since Specialization
Citations

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

Fields of papers citing papers by Janetta E. Skarp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janetta E. Skarp. 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 Janetta E. Skarp. The network helps show where Janetta E. Skarp may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Mosquito feeding behavior and how it influences residual malaria transmission across Africa
Hit paper breakdown →
2019195
2 2020152
3 202333
4 202217
5 202014
6 202110
7 20217
8 20173
9 20252
10
Estimation of Transmissibility in the Early Stages of a Disease Outbreak [R package earlyR version 0.0.5]
20201
11 20260

About Janetta E. Skarp

Janetta E. Skarp is a scholar working on Modeling and Simulation, Emergency Medical Services, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 11 papers that have together received 434 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Disaster Response and Management (2 papers), COVID-19 Prevention and Impact (2 papers), Viral Infections and Outbreaks Research (2 papers), Insect-Plant Interactions and Control (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Data-Driven Disease Surveillance (1 paper) and Insect behavior and control techniques (1 paper). The work is most often cited by research in Modeling and Simulation (71 citations), Public Health, Environmental and Occupational Health (213 citations), Infectious Diseases (46 citations), General Dentistry (1 citation) and Clinical Psychology (23 citations). Janetta E. Skarp has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Andrew David Beale, Ellie Sherrard-Smith, Selam Mihreteab, Sarah Moore, Thomas S. Churcher, Peter Winskill, Samir Bhatt, Christen M. Fornadel, J. D. Charlwood and Jamie T. Griffin. Their work appears in journals such as Biological Control, International Journal of Infectious Diseases, The Lancet Microbe, Applied Health Economics and Health Policy and European Journal of Public Health.

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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