Swee Ling Low

408 citations
9 papers · 299 · h-index 7

Impact in

Papers in

Swee Ling Low

9 papers receiving 295 citations

Peers

Swee Ling Low
Comparison fields: 5 of 47
  • Infectious Diseases 146
  • Public Health, Environmental and Occupational Health 186
  • Modeling and Simulation 22
  • Insect Science 28
  • Virology 8
Replace Juthamas Phadungsombat with:
Juthamas Phadungsombat Japan
Li Kiang Tan Singapore
Nathália Dias Furtado Brazil
Jairo A. Méndez Colombia
Renato Antônio dos Santos Oliveira Brazil
Monique da Rocha Queiroz Lima Brazil
Saraden In Cambodia
Priscilla P. Barbosa Brazil
Larissa Krokovsky Brazil
Achala Kamaladasa Sri Lanka
Swee Ling Low relative to Juthamas Phadungsombat Japan Juthamas Phadungsombat's profile →
Citations per field
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Juthamas Phadungsombat · 1×
Citations per year

Countries citing papers authored by Swee Ling Low

Since Specialization
Citations

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

Fields of papers citing papers by Swee Ling Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swee Ling Low. 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 Swee Ling Low. The network helps show where Swee Ling Low may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201576
2 202163
3 201357
4 201939
5 202224
6 202118
7 201315
8 20244
9 20123

About Swee Ling Low

Swee Ling Low is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Management of Technology and Innovation, Biomedical Engineering and Molecular Biology, having authored 9 papers that have together received 299 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Malaria Research and Control (3 papers), Viral Infections and Vectors (3 papers), Blood donation and transfusion practices (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Infectious Diseases (146 citations), Public Health, Environmental and Occupational Health (186 citations), Modeling and Simulation (22 citations), Insect Science (28 citations) and Virology (8 citations). Swee Ling Low has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Lee Ching Ng, Sally Lam, Diana Teo, Li-Kiang Tan, Hapuarachchige Chanditha Hapuarachchi, Li Kiang Tan, Judith Chui Ching Wong, Justin Jang Hann Chu, Karen Caiyun Chen and Regina Ching Hua Lee. Their work appears in journals such as The Science of The Total Environment, International Journal of Infectious Diseases, American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases and PLoS ONE.

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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