Kaushalya Amarasinghe

43 total papers · 1.4k total citations
9 papers, 610 citations indexed

About

Kaushalya Amarasinghe is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Kaushalya Amarasinghe has authored 9 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Kaushalya Amarasinghe's work include Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Kaushalya Amarasinghe is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Kaushalya Amarasinghe collaborates with scholars based in Australia, United Kingdom and Denmark. Kaushalya Amarasinghe's co-authors include Jason Li, Saman Halgamuge, Ian Campbell, Georgina L. Ryland, Richard Lupat, Richard W. Tothill, Ella R. Thompson, Kylie L. Gorringe, Maria Doyle and Prue A. Cowin and has published in prestigious journals such as Bioinformatics, Oncogene and BMC Bioinformatics.

In The Last Decade

Kaushalya Amarasinghe

9 papers receiving 606 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kaushalya Amarasinghe	274	242	215	118	104	9	610
Alissa Minkovsky	113 0.4×	256 1.1×	125 0.6×	122 1.0×	111 1.1×	7	538
Julie L. Flowers	134 0.5×	216 0.9×	143 0.7×	235 2.0×	62 0.6×	7	653
Iver Petersen	113 0.4×	202 0.8×	125 0.6×	132 1.1×	69 0.7×	13	514
Carine Tran‐Perennou	235 0.9×	270 1.1×	123 0.6×	311 2.6×	83 0.8×	13	664
Heng Qi	307 1.1×	359 1.5×	99 0.5×	77 0.7×	140 1.3×	13	588
S M Edwards	182 0.7×	397 1.6×	133 0.6×	174 1.5×	241 2.3×	13	647
Zhenping Zhuang	289 1.1×	285 1.2×	62 0.3×	172 1.5×	201 1.9×	7	624
Soper Jt	142 0.5×	213 0.9×	84 0.4×	317 2.7×	113 1.1×	8	625
Monika Maringa	113 0.4×	208 0.9×	242 1.1×	91 0.8×	39 0.4×	7	689
Frederic M. Waldman	213 0.8×	271 1.1×	298 1.4×	148 1.3×	82 0.8×	11	624

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

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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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