Upulie Divisekera

2.1k total citations · 1 hit paper
7 papers, 1.8k citations indexed

About

Upulie Divisekera is a scholar working on Oncology, Physiology and Immunology. According to data from OpenAlex, Upulie Divisekera has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Physiology and 2 papers in Immunology. Recurrent topics in Upulie Divisekera's work include Adenosine and Purinergic Signaling (4 papers), Peptidase Inhibition and Analysis (3 papers) and Immune Cell Function and Interaction (2 papers). Upulie Divisekera is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), Peptidase Inhibition and Analysis (3 papers) and Immune Cell Function and Interaction (2 papers). Upulie Divisekera collaborates with scholars based in Australia, Canada and Germany. Upulie Divisekera's co-authors include John Stagg, Mark J. Smyth, Phillip K. Darcy, Helene Duret, Michele W.L. Teng, Karen M. Dwyer, Sandra Pommey, Janelle Sharkey, Nicole M. McLaughlin and Delphine Denoyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Chemical Communications.

In The Last Decade

Upulie Divisekera

7 papers receiving 1.8k citations

Hit Papers

Anti-CD73 antibody therapy inhibits breast tumor growth a... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Upulie Divisekera Australia 7 892 846 752 386 183 7 1.8k
Evelyne Zeira Israel 17 512 0.6× 96 0.1× 399 0.5× 429 1.1× 112 0.6× 21 1.3k
Naz Chaudary Canada 22 474 0.5× 180 0.2× 161 0.2× 695 1.8× 186 1.0× 45 1.5k
Sally A. Hunsucker United States 17 342 0.4× 140 0.2× 236 0.3× 588 1.5× 95 0.5× 32 1.1k
Nils-Petter Rudqvist Sweden 19 1.4k 1.5× 61 0.1× 1.0k 1.4× 549 1.4× 170 0.9× 44 2.3k
Kathleen Spring Canada 10 209 0.2× 224 0.3× 226 0.3× 347 0.9× 163 0.9× 14 846
Robert Eil United States 14 1.1k 1.2× 42 0.0× 1.0k 1.4× 739 1.9× 257 1.4× 30 2.1k
Shanshan Wan China 16 572 0.6× 33 0.0× 454 0.6× 421 1.1× 90 0.5× 54 1.5k
Kristin DePeaux United States 8 881 1.0× 46 0.1× 1.1k 1.5× 755 2.0× 286 1.6× 11 2.1k
Maria Buoncervello Italy 15 298 0.3× 46 0.1× 213 0.3× 292 0.8× 166 0.9× 18 828
Paolo Vignali United States 8 710 0.8× 39 0.0× 1.1k 1.4× 697 1.8× 220 1.2× 17 2.0k

Countries citing papers authored by Upulie Divisekera

Since Specialization
Citations

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

Fields of papers citing papers by Upulie Divisekera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upulie Divisekera

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

All Works

7 of 7 papers shown
1.
Divisekera, Upulie, Wenjuan Yang, Vijayaraghavan Ranganathan, et al.. (2014). Biological stability and activity of siRNA in ionic liquids. Chemical Communications. 50(88). 13457–13460. 36 indexed citations
2.
Beavis, Paul A., Upulie Divisekera, Christophe Paget, et al.. (2013). Blockade of A 2A receptors potently suppresses the metastasis of CD73 + tumors. Proceedings of the National Academy of Sciences. 110(36). 14711–14716. 290 indexed citations
3.
Stagg, John, Paul A. Beavis, Upulie Divisekera, et al.. (2012). CD73-Deficient Mice Are Resistant to Carcinogenesis. Cancer Research. 72(9). 2190–2196. 174 indexed citations
4.
Stagg, John, Upulie Divisekera, Helene Duret, et al.. (2011). CD73-Deficient Mice Have Increased Antitumor Immunity and Are Resistant to Experimental Metastasis. Cancer Research. 71(8). 2892–2900. 320 indexed citations
5.
Stagg, John, Sherene Loi, Upulie Divisekera, et al.. (2011). Anti–ErbB-2 mAb therapy requires type I and II interferons and synergizes with anti–PD-1 or anti-CD137 mAb therapy. Proceedings of the National Academy of Sciences. 108(17). 7142–7147. 381 indexed citations
6.
Stagg, John, Upulie Divisekera, Nicole M. McLaughlin, et al.. (2010). Anti-CD73 antibody therapy inhibits breast tumor growth and metastasis. Proceedings of the National Academy of Sciences. 107(4). 1547–1552. 479 indexed citations breakdown →
7.
Vermette, Patrick, Thomas R. Gengenbach, Upulie Divisekera, et al.. (2003). Immobilization and surface characterization of NeutrAvidin biotin-binding protein on different hydrogel interlayers. Journal of Colloid and Interface Science. 259(1). 13–26. 92 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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