Kaushalya C. Amarasinghe
Impact in
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Ovarian cancer diagnosis and treatment 4
- Genetics 5
- BRCA gene mutations in cancer 3
- Genomic variations and chromosomal abnormalities 3
- Glioma Diagnosis and Treatment 1
- Co-authors
- Jason Li (8 shared papers)Saman Kumara Halgamuge (3 shared papers)Ian Campbell (6 shared papers)Georgina L. Ryland (2 shared papers)Richard Lupat (4 shared papers)Kylie L. Gorringe (3 shared papers)Richard W. Tothill (2 shared papers)Ella R. Thompson (3 shared papers)
In The Last Decade
Kaushalya C. Amarasinghe
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Reproductive Medicine 255
- Cancer Research 303
- Genetics 236
- Obstetrics and Gynecology 58
- Oncology 203
Countries citing papers authored by Kaushalya C. Amarasinghe
This map shows the geographic impact of Kaushalya C. 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 C. 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 C. Amarasinghe more than expected).
Fields of papers citing papers by Kaushalya C. Amarasinghe
This network shows the impact of papers produced by Kaushalya C. 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 C. Amarasinghe. The network helps show where Kaushalya C. Amarasinghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaushalya C. Amarasinghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 285 | |
| 2 | 2019 | 134 | |
| 3 | 2014 | 94 | |
| 4 | 2017 | 74 | |
| 5 | 2020 | 67 | |
| 6 | 2020 | 63 | |
| 7 | 2013 | 62 | |
| 8 | 2018 | 56 | |
| 9 | 2017 | 52 | |
| 10 | 2018 | 48 | |
| 11 | 2019 | 35 | |
| 12 | 2021 | 28 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 18 |
About Kaushalya C. Amarasinghe
Kaushalya C. Amarasinghe is a scholar working on Reproductive Medicine, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), BRCA gene mutations in cancer (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cancer Genomics and Diagnostics (2 papers), DNA Repair Mechanisms (2 papers), Renal cell carcinoma treatment (2 papers), Glioma Diagnosis and Treatment (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Reproductive Medicine (255 citations), Cancer Research (303 citations), Genetics (236 citations), Obstetrics and Gynecology (58 citations) and Oncology (203 citations). Kaushalya C. Amarasinghe has collaborated with scholars based in Australia, Canada and China. Frequent co-authors include Jason Li, Saman Kumara Halgamuge, Ian Campbell, Georgina L. Ryland, Richard Lupat, Kylie L. Gorringe, Richard W. Tothill, Ella R. Thompson, Maria Doyle and Prue A. Cowin. Their work appears in journals such as Clinical Cancer Research, Genetics in Medicine, Nature Genetics, Bioinformatics and Molecular Cancer Research.
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.