Arutha Kulasinghe

5.1k total citations · 1 hit paper
93 papers, 3.1k citations indexed

About

Arutha Kulasinghe is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Arutha Kulasinghe has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Oncology, 40 papers in Cancer Research and 31 papers in Molecular Biology. Recurrent topics in Arutha Kulasinghe's work include Cancer Cells and Metastasis (39 papers), Cancer Genomics and Diagnostics (36 papers) and Cancer Immunotherapy and Biomarkers (31 papers). Arutha Kulasinghe is often cited by papers focused on Cancer Cells and Metastasis (39 papers), Cancer Genomics and Diagnostics (36 papers) and Cancer Immunotherapy and Biomarkers (31 papers). Arutha Kulasinghe collaborates with scholars based in Australia, United States and Russia. Arutha Kulasinghe's co-authors include Kenneth J. O’Byrne, Chamindie Punyadeera, Majid Ebrahimi Warkiani, Rahul Ladwa, Liz Kenny, Habib Sadeghirad, Yavar Shiravand, Seyed Reza Hosseini‐Fard, Seyyed Mohammad Amin Kashani and Faezeh Khodadadi and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Arutha Kulasinghe

88 papers receiving 3.1k citations

Hit Papers

Immune Checkpoint Inhibitors in Cancer Therapy 2022 2026 2023 2024 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arutha Kulasinghe Australia 28 1.7k 933 917 637 607 93 3.1k
Marco Tucci Italy 38 1.6k 0.9× 707 0.8× 1.7k 1.8× 1.4k 2.1× 556 0.9× 135 4.3k
Salman M. Toor Qatar 23 2.0k 1.2× 429 0.5× 1.0k 1.1× 1.5k 2.4× 559 0.9× 53 3.3k
Nashat Gabrail United States 26 2.3k 1.4× 1.1k 1.1× 1.6k 1.7× 251 0.4× 788 1.3× 154 4.4k
Suxia Luo China 25 2.0k 1.2× 745 0.8× 1.3k 1.4× 993 1.6× 793 1.3× 108 3.5k
Oronzo Brunetti Italy 35 1.5k 0.9× 783 0.8× 1.1k 1.2× 692 1.1× 525 0.9× 126 3.1k
Rishi Surana United States 15 1.8k 1.1× 622 0.7× 1.3k 1.4× 858 1.3× 409 0.7× 24 3.4k
Luana Calabrò Italy 30 2.3k 1.4× 593 0.6× 1.4k 1.6× 1.0k 1.6× 1.5k 2.5× 111 4.4k
Luitpold Distel Germany 36 1.7k 1.0× 526 0.6× 1.3k 1.4× 1.2k 1.8× 775 1.3× 186 4.2k
Yayi He China 31 2.0k 1.2× 628 0.7× 1.2k 1.3× 1.2k 1.8× 1.1k 1.9× 139 3.7k
Winan J. van Houdt Netherlands 29 2.8k 1.7× 685 0.7× 1.6k 1.8× 482 0.8× 1.4k 2.3× 166 5.2k

Countries citing papers authored by Arutha Kulasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Arutha Kulasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arutha Kulasinghe

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

All Works

20 of 20 papers shown
1.
Tan, Xiao, Eun Ju Kim, Jazmina L. Gonzalez Cruz, et al.. (2025). Cell–cell interactions as predictive and prognostic markers for drug responses in cancer. Genome Medicine. 17(1). 117–117.
2.
Ladwa, Rahul, Jenny Lee, Caroline Cooper, et al.. (2025). Response-Adapted Surgical and Radiotherapy De-Escalation in Resectable Cutaneous Squamous Cell Cancer Using Pembrolizumab: The De-Squamate Study. Journal of Clinical Oncology. 43(26). 2888–2896. 1 indexed citations
3.
Ma, Ning, Bassem Ben Cheikh, Jacky Y. Suen, et al.. (2024). Protocol for high-plex, whole-slide imaging of human formalin-fixed paraffin-embedded tissue using PhenoCycler-Fusion. STAR Protocols. 5(3). 103226–103226. 8 indexed citations
4.
Zhang, Zhen, Kenneth J. O’Byrne, Arutha Kulasinghe, et al.. (2024). Glycan Profiling in Small Extracellular Vesicles with a SERS Microfluidic Biosensor Identifies Early Malignant Development in Lung Cancer (Adv. Sci. 33/2024). Advanced Science. 11(33). 5 indexed citations
5.
Monkman, James, Tony Blick, Kenneth J. O’Byrne, et al.. (2024). Spatial resolution of the head and neck cancer tumor microenvironment to identify tumor and stromal features associated with therapy response. Immunology and Cell Biology. 102(9). 830–846. 9 indexed citations
6.
Shah, Esha T., Christopher J. Molloy, Thomas Kryza, et al.. (2024). Inhibition of Aurora B kinase (AURKB) enhances the effectiveness of 5-fluorouracil chemotherapy against colorectal cancer cells. British Journal of Cancer. 130(7). 1196–1205. 8 indexed citations
7.
Ahmed, Emtiaz, Arutha Kulasinghe, James Monkman, et al.. (2024). A Mesoporous Gold Sensor Unveils Phospho PD-L1 in Extracellular Vesicles as a Proxy for PD-L1 Expression in Lung Cancer Tissue. ACS Sensors. 9(6). 3009–3016. 4 indexed citations
9.
Moradi, Afshin, et al.. (2024). Tissue biomarkers of immune checkpoint inhibitor therapy. Immunology and Cell Biology. 102(3). 179–193. 5 indexed citations
10.
Kulasinghe, Arutha, et al.. (2024). Leveraging spatial omics for the development of precision sarcoma treatments. Trends in Pharmacological Sciences. 45(2). 134–144. 2 indexed citations
11.
Ladwa, Rahul, James Monkman, Caroline Cooper, et al.. (2023). 1144P High-plex spatial profiling of cutaneous squamous cell carcinoma to identify biomarkers associated with clinical outcomes: The cMIC study. Annals of Oncology. 34. S685–S685.
12.
Monkman, James, Aaron T. Mayer, Ahmed M. Mehdi, et al.. (2023). Multi‐omic and spatial dissection of immunotherapy response groups in non‐small cell lung cancer. Immunology. 169(4). 487–502. 19 indexed citations
13.
Sadeghirad, Habib, et al.. (2023). Metabolomics at the tumor microenvironment interface: Decoding cellular conversations. Medicinal Research Reviews. 44(3). 1121–1146. 17 indexed citations
14.
Liu, Ning, Dharmesh D. Bhuva, Ahmed Mohamed, et al.. (2023). standR: spatial transcriptomic analysis for GeoMx DSP data. Nucleic Acids Research. 52(1). e2–e2. 24 indexed citations
15.
Ravichandran, Akhilandeshwari, James Monkman, Ahmed M. Mehdi, et al.. (2023). The in situ transcriptomic landscape of breast tumour-associated and normal adjacent endothelial cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166985–166985. 1 indexed citations
16.
Pratapa, Aditya, Ning Ma, Bassem Ben Cheikh, et al.. (2023). Spatial phenotyping of cytokine signatures reflecting the immunotherapy responses in head and neck cancer. The Journal of Immunology. 210(Supplement_1). 171.09–171.09. 1 indexed citations
17.
Rad, Habib Sadeghi, et al.. (2022). The Role of Circulating Biomarkers in Lung Cancer. Frontiers in Oncology. 11. 801269–801269. 31 indexed citations
18.
Es, Hamidreza Aboulkheyr, Robert Salomon, Arutha Kulasinghe, et al.. (2022). Single-cell analysis of circulating tumour cells: enabling technologies and clinical applications. Trends in biotechnology. 40(9). 1041–1060. 28 indexed citations
19.
Karimi, Amirali, Parnian Shobeiri, Arutha Kulasinghe, & Nima Rezaei. (2021). Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis. Frontiers in Immunology. 12. 741061–741061. 102 indexed citations
20.
Kulasinghe, Arutha, Tony Blick, Kenneth J. O’Byrne, et al.. (2017). Enrichment of circulating head and neck tumour cells using spiral microfluidic technology. Scientific Reports. 7(1). 42517–42517. 71 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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