Jayanthi Rajarethinam

18 papers receiving 558 citations

Peers

Jayanthi Rajarethinam
Comparison fields: 5 of 70
  • Public Health, Environmental and Occupational Health 484
  • Infectious Diseases 238
  • Modeling and Simulation 158
  • Sociology and Political Science 123
  • Epidemiology 50
Replace Yien Ling Hii with:
Yien Ling Hii Sweden
Choon Siang Tang Singapore
Matthew German United States
Olivier Telle France
Janet Ong Singapore
Guido España United States
Efraín Beltrán Ayala Ecuador
Shaohong Liang Singapore
Jennifer Miniota Canada
Cecilia Marques-Toledo Brazil
Jayanthi Rajarethinam relative to Yien Ling Hii Sweden Yien Ling Hii's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jayanthi Rajarethinam

Since Specialization
Citations

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

Fields of papers citing papers by Jayanthi Rajarethinam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayanthi Rajarethinam

This figure shows the co-authorship network connecting the top 25 collaborators of Jayanthi Rajarethinam. A scholar is included among the top collaborators of Jayanthi Rajarethinam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jayanthi Rajarethinam. Jayanthi Rajarethinam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 11
2 6
3 26
4 8
5 20
6 3
7 16
8 40
9 14
10 10
11 71
12 20
13 55
14 19
15 79
16 69
17 2
18 101

About Jayanthi Rajarethinam

Jayanthi Rajarethinam is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 18 papers that have together received 570 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (16 papers), Malaria Research and Control (10 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Modeling and Simulation (158 citations), Public Health, Environmental and Occupational Health (484 citations) and Infectious Diseases (238 citations). Jayanthi Rajarethinam has collaborated with scholars based in Singapore, Australia and Malaysia. Frequent co-authors include Grace Yap, Lee Ching Ng, Alex R. Cook, Chee‐Seng Chong, Lee Ching Ng, Janet Ong, Shaohong Liang, Hapuarachchige Chanditha Hapuarachchi, Xu Liu and Derek Ho. Their work appears in journals such as Environmental Health Perspectives, International Journal of Environmental Research and Public Health and American Journal of Tropical Medicine and Hygiene.

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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