Kaushalya Amarasinghe

1.4k citations
9 papers · 615 indexed · h-index 9
Topics
Cancer Genomics and Diagnostics (4 papers)Genomics and Rare Diseases (3 papers)Genomic variations and chromosomal abnormalities (3 papers)

In The Last Decade

Kaushalya Amarasinghe

9 papers receiving 611 citations

Peers

Kaushalya Amarasinghe
Comparison fields: 5 of 70
  • Cancer Research 275
  • Molecular Biology 244
  • Genetics 217
  • Oncology 119
  • Pulmonary and Respiratory Medicine 104
Replace George J. Burghel with:
George J. Burghel United Kingdom
Rogier A. Oldenburg Netherlands
Guillaume Rieunier United Kingdom
Alissa Minkovsky United States
Chiara Pesenti Italy
Emmanuel Tubacher France
Iver Petersen Germany
John F. Herath United States
Prue A. Cowin Australia
Helena Zientek Poland
Kaushalya Amarasinghe relative to George J. Burghel United Kingdom George J. Burghel's profile →
Citations per field
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George J. Burghel · 1×
Citations per year

Countries citing papers authored by Kaushalya Amarasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Kaushalya Amarasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushalya Amarasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Kaushalya Amarasinghe. A scholar is included among the top collaborators of Kaushalya Amarasinghe 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 Kaushalya Amarasinghe. Kaushalya Amarasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 24
2 61
3 42
4 14
5 45
6 46
7 84
8 51
9 248

About Kaushalya Amarasinghe

Kaushalya Amarasinghe is a scholar working on Cancer Research, Geriatrics and Gerontology and Genetics, having authored 9 papers that have together received 615 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cancer Research (275 citations), Genetics (217 citations) and Reproductive Medicine (51 citations). Kaushalya Amarasinghe has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Jason Li, Saman Halgamuge, Ian Campbell, Georgina L. Ryland, Richard Lupat, Richard W. Tothill, Kylie L. Gorringe, Ella R. Thompson, Maria Doyle and Prue A. Cowin. Their work appears in journals such as Bioinformatics, Oncogene and BMC Bioinformatics.

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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