Malaka Ameratunga

1.3k citations
47 papers · 853 · h-index 15

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • PARP inhibition in cancer therapy
    • CAR-T cell therapy research

Papers in

Malaka Ameratunga

43 papers receiving 845 citations

Peers

Malaka Ameratunga
Comparison fields: 5 of 69
  • Genetics 185
  • Oncology 331
  • Pulmonary and Respiratory Medicine 225
  • Cancer Research 102
  • Immunology 103
Replace María Vieito with:
María Vieito Spain
Stephanie Du Four Belgium
Robert J. Behrens United States
Yoshinori Kodama Japan
R. V. Larocca United States
Tiffany Juarez United States
Fabrizio Tabbò Italy
Mark D. Hjelmeland United States
Maria Gonzalez Australia
Floris H. Groenendijk Netherlands
Malaka Ameratunga relative to María Vieito Spain María Vieito's profile →
Citations per field
00.5×1.5×2.3×
María Vieito · 1×
Citations per year

Countries citing papers authored by Malaka Ameratunga

Since Specialization
Citations

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

Fields of papers citing papers by Malaka Ameratunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 201490
3 202085
4 201775
5 201667
6 202065
7 201758
8 201845
9 201441
10 201629
11 201422
12 201918
13 201816
14 201814
15 201814
16 202013
17 202312
18 20219
19 20187
20 20176

About Malaka Ameratunga

Malaka Ameratunga is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Molecular Biology and Cancer Research, having authored 47 papers that have together received 853 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Research Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Brain Metastases and Treatment (3 papers), Protein Degradation and Inhibitors (3 papers) and Ocular Oncology and Treatments (3 papers). The work is most often cited by research in Genetics (185 citations), Oncology (331 citations), Pulmonary and Respiratory Medicine (225 citations), Cancer Research (102 citations) and Immunology (103 citations). Malaka Ameratunga has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Mustafa Khasraw, Nick Pavlakis, Robin Grant, Helen Wheeler, Juanita Lopez, Udai Banerji, John Simes, Hui Gan, Bissan Al‐Lazikani and Johann S. de Bono. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Clinical Cancer Research, Neuro-Oncology and Journal of Neuro-Oncology.

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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