Shavanthi Rajatileka

6.2k citations
12 papers · 663 · h-index 9

Impact in

Papers in

Shavanthi Rajatileka

11 papers receiving 652 citations

Peers

Shavanthi Rajatileka
Comparison fields: 5 of 61
  • Public Health, Environmental and Occupational Health 381
  • Insect Science 143
  • Plant Science 288
  • Molecular Biology 333
  • Parasitology 21
Replace Hongmei Liu with:
Hongmei Liu China
Christopher Lumb Australia
Harriet L. Harris Canada
Kaio César Simiano Tavares Brazil
Xiaoxia Xu China
Marco De Ambrogi Italy
B. Jane Rogers United States
Shivani Chhillar India
Hans Raj India
Shavanthi Rajatileka relative to Hongmei Liu China Hongmei Liu's profile →
Citations per field
00.5×6.7×
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Citations per year

Countries citing papers authored by Shavanthi Rajatileka

Since Specialization
Citations

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

Fields of papers citing papers by Shavanthi Rajatileka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010221
2 2010199
3 201164
4 200854
5 201144
6 201322
7 201217
8 201716
9 201416
10 20178
11 20162
12 20240

About Shavanthi Rajatileka

Shavanthi Rajatileka is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 663 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Malaria Research and Control (3 papers), Neonatal Respiratory Health Research (3 papers), Insect Resistance and Genetics (3 papers), Signaling Pathways in Disease (2 papers), Epigenetics and DNA Methylation (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (381 citations), Insect Science (143 citations), Plant Science (288 citations), Molecular Biology (333 citations) and Parasitology (21 citations). Shavanthi Rajatileka has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Hilary Ranson, Angela F. Harris, Posri Leelapat, Pradya Somboon, Nongkran Lumjuan, La‐aied Prapanthadara, Gareth Lycett, Elek Molnár, Anikó Váradi and Chamnarn Apiwathnasorn. Their work appears in journals such as BMC Genetics, Molecular Biology of the Cell, Molecular Neurobiology, Acta Paediatrica and Traffic.

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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