Anushi Rajapaksa

700 citations
23 papers · 551 indexed · h-index 13

Anushi Rajapaksa

23 papers receiving 548 citations

Peers

Anushi Rajapaksa
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 61
  • Pulmonary and Respiratory Medicine 271
  • Biomedical Engineering 227
  • Surfaces, Coatings and Films 23
  • Surgery 107
Replace Carrie E. Perlman with:
Carrie E. Perlman United States
Jichuan Wu United States
Alison M. Forsyth United States
Meike Hengst Germany
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Bing Jia China
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Citations per field
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Citations per year

Countries citing papers authored by Anushi Rajapaksa

Since Specialization
Citations

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

Fields of papers citing papers by Anushi Rajapaksa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202210
3 20215
4 202117
5 20208
6 20198
7 201812
8 201720
9 20179
10 201710
11 201623
12 201611
13 201543
14 201513
15 201557
16 201540
17 201478
18 201461
19 20121
20
Microfluidic synthesis of multi-layer nanoparticles for drug and gene delivery
20111

About Anushi Rajapaksa

Anushi Rajapaksa is a scholar working on Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 551 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (12 papers), Respiratory Support and Mechanisms (9 papers), Microfluidic and Bio-sensing Technologies (6 papers), Inhalation and Respiratory Drug Delivery (4 papers), Neuroscience of respiration and sleep (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Respiratory viral infections research (3 papers) and Congenital Diaphragmatic Hernia Studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (61 citations), Pulmonary and Respiratory Medicine (271 citations), Biomedical Engineering (227 citations), Surfaces, Coatings and Films (23 citations) and Surgery (107 citations). Anushi Rajapaksa has collaborated with scholars based in Australia, Italy and Canada. Frequent co-authors include James Friend, Leslie Y. Yeo, Aisha Qi, David G. Tingay, Ross L. Coppel, Prue M. Pereira‐Fantini, Elizabeth J. Perkins, Peggy Chan, Jenny Ho and Anna Lavizzari. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Pediatric Research, Lab on a Chip, Scientific Reports and The Journal of Pediatrics.

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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