Dhammika Amaratunga

1.6k total citations
49 papers, 1.0k citations indexed

About

Dhammika Amaratunga is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Dhammika Amaratunga has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Artificial Intelligence. Recurrent topics in Dhammika Amaratunga's work include Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (10 papers) and Molecular Biology Techniques and Applications (6 papers). Dhammika Amaratunga is often cited by papers focused on Gene expression and cancer classification (23 papers), Bioinformatics and Genomic Networks (10 papers) and Molecular Biology Techniques and Applications (6 papers). Dhammika Amaratunga collaborates with scholars based in United States, Sri Lanka and Belgium. Dhammika Amaratunga's co-authors include Javier Cabrera, Yung-Seop Lee, Willem Talloen, Luc Bijnens, Hinrich W. H. Göhlmann, Ana Angulo, Ying Jiang, Jackson Wan, Mark G. Erlander and Per A. Peterson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Blood.

In The Last Decade

Dhammika Amaratunga

44 papers receiving 960 citations

Peers

Dhammika Amaratunga

EPIDE

GENET

IMMUN

Sourish Ghosh India

Simone Marini United States

Christine Nardini Italy

Tsung‐Hsien Lee Taiwan

Ping Shi China

Mika Gustafsson Sweden

Vicente Arnau Spain

Mark Daley Canada

Niko Välimäki Finland

Sourish Ghosh India

Dhammika Amaratunga

369 ×0.8

243 ×1.2

EPIDE

111 ×1.0

GENET

59 ×0.6

133 ×2.0

IMMUN

Citations per year, relative to Dhammika Amaratunga Dhammika Amaratunga (= 1×) peers Sourish Ghosh

Countries citing papers authored by Dhammika Amaratunga

Since Specialization

Citations

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

Fields of papers citing papers by Dhammika Amaratunga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhammika Amaratunga

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

All Works

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20 of 20 papers shown

Amaratunga, Dhammika, et al.. (2024). Left ventricular dissecting haematoma and aneurysm formation in a patient who uses methamphetamines: a case report. BMC Cardiovascular Disorders. 24(1). 696–696.

Amaratunga, Dhammika, Yetrib Hathout, Chandra Mohan, et al.. (2023). Duchenne Muscular Dystrophy from Brain to Muscle: The Role of Brain Dystrophin Isoforms in Motor Functions. Journal of Clinical Medicine. 12(17). 5637–5637. 8 indexed citations

Amaratunga, Dhammika, Kamala Vanarsa, Yetrib Hathout, et al.. (2023). Integrated genomic, proteomic and cognitive assessment in Duchenne Muscular Dystrophy suggest astrocyte centric pathology. Heliyon. 9(8). e18530–e18530. 7 indexed citations

Amaratunga, Dhammika, et al.. (2021). Socio-economic impact on COVID-19 cases and deaths and its evolution in New Jersey. Annals of Operations Research. 317(1). 5–18. 9 indexed citations

Amaratunga, Dhammika, et al.. (2020). Uses and opportunities for machine learning in hypertension research. SHILAP Revista de lepidopterología. 5. 100027–100027. 21 indexed citations

Sargsyan, Davit, Nikolay V. Manyakov, Andrew Skalkin, et al.. (2019). Feature Selection With Weighted Importance Index in an Autism Spectrum Disorder Study. Statistics in Biopharmaceutical Research. 11(2). 118–125. 5 indexed citations

Gorrie, Catherine A., S. K. Shankar, Yasha T. Chickabasaviah, et al.. (2017). Early stages of Alzheimer's disease are alarming signs in injury deaths caused by traffic accidents in elderly people (≥60 years of age). Indian Journal of Psychiatry. 59(4). 471–477. 1 indexed citations

Amaratunga, Dhammika & Javier Cabrera. (2015). Review of New Statistical Techniques for Analysis of Cardiovascular Trial and Registry Data. Current Hypertension Reports. 17(10). 81–81.

Amaratunga, Dhammika, Javier Cabrera, & Ziv Shkedy. (2014). Exploration and Analysis of DNA Microarray and Other High‐Dimensional Data. Wiley series in probability and statistics. 9 indexed citations

10.

Amaratunga, Dhammika, et al.. (2014). Resampling-Based Similarity Measures for High-Dimensional Data. Journal of Computational Biology. 22(1). 54–62. 5 indexed citations

11.

Lin, Dan, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga, & Luc Bijnens. (2012). Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data. Document Server@UHasselt (UHasselt). 4 indexed citations

12.

Silva, Kanishka De, et al.. (2011). Types of the cerebral arterial circle (circle of Willis) in a Sri Lankan Population. BMC Neurology. 11(1). 5–5. 43 indexed citations

13.

Kasim, Adetayo, Dan Lin, Suzy Van Sanden, et al.. (2010). Informative or Noninformative Calls for Gene Expression: A Latent Variable Approach. Statistical Applications in Genetics and Molecular Biology. 9(1). Article 4–Article 4. 12 indexed citations

14.

Kasturi, Jyotsna, et al.. (2010). IRINI: Random group allocation of multiple prognostic factors. Contemporary Clinical Trials. 32(3). 372–381. 4 indexed citations

15.

Tuefferd, Marianne, An De Bondt, Ilse Van den Wyngaert, et al.. (2008). Genome‐wide copy number alterations detection in fresh frozen and matched FFPE samples using SNP 6.0 arrays. Genes Chromosomes and Cancer. 47(11). 957–964. 40 indexed citations

16.

D’Andrea, Michael R., et al.. (2007). A Consolidated Approach to Analyzing Data from High-Throughput Protein Microarrays with an Application to Immune Response Profiling in Humans. Journal of Computational Biology. 14(3). 350–359. 8 indexed citations

17.

Amaratunga, Dhammika, et al.. (2007). Microarray learning with ABC. Biostatistics. 9(1). 128–136. 8 indexed citations

18.

Raghavan, N. R. Srinivasa, Dhammika Amaratunga, Javier Cabrera, et al.. (2006). On Methods for Gene Function Scoring as a Means of Facilitating the Interpretation of Microarray Results. Journal of Computational Biology. 13(3). 798–809. 15 indexed citations

19.

Amaratunga, Dhammika & Javier Cabrera. (2003). Exploration and Analysis of DNA Microarray and Protein Array Data. Wiley series in probability and statistics. 78 indexed citations

20.

Amaratunga, Dhammika. (1999). Searching for the Right Sample Size. The American Statistician. 53(1). 52–55. 4 indexed citations

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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