Dylan Guelig

520 citations
13 papers · 410 · h-index 10

Impact in

Papers in

Dylan Guelig

13 papers receiving 400 citations

Peers

Dylan Guelig
Comparison fields: 5 of 58
  • Infectious Diseases 99
  • Parasitology 33
  • Biomedical Engineering 224
  • Public Health, Environmental and Occupational Health 127
  • Molecular Biology 137
Replace Sasikanya Thaloengsok with:
Sasikanya Thaloengsok Thailand
Zhangnv Yang China
Kamfai Chan United States
Abbas S. L. Kakembo Uganda
T. P. Armstrong Australia
Caroline Mwaliko China
Mingbiao Ma China
Hao Yan China
Ruolan Bai China
Pattabhiraman Lalitha Malaysia
Dylan Guelig relative to Sasikanya Thaloengsok Thailand Sasikanya Thaloengsok's profile →
Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Dylan Guelig

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Guelig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201578
2 201776
3 201469
4 201539
5 201632
6 201530
7 201630
8 201722
9 201513
10 20129
11 20177
12 20143
13 20152

About Dylan Guelig

Dylan Guelig is a scholar working on Biomedical Engineering, Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases and Water Science and Technology, having authored 13 papers that have together received 410 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), Mosquito-borne diseases and control (3 papers), Malaria Research and Control (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), SARS-CoV-2 detection and testing (2 papers), Plant Virus Research Studies (2 papers) and Fecal contamination and water quality (2 papers). The work is most often cited by research in Infectious Diseases (99 citations), Parasitology (33 citations), Biomedical Engineering (224 citations), Public Health, Environmental and Occupational Health (127 citations) and Molecular Biology (137 citations). Dylan Guelig has collaborated with scholars based in United States, Canada and Ethiopia. Frequent co-authors include Paul LaBarre, Robert P. Burton, Robert A. Burton, Abebe Genetu Bayih, Dylan R. Pillai, Bernhard H. Weigl, Jered Singleton, Gebeyaw Getnet, Sisay Getie and Abebe Alemu. Their work appears in journals such as PLoS ONE, Lab on a Chip, Diagnostic Microbiology and Infectious Disease, Malaria Journal and Journal of Environmental Engineering.

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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