Upulie Divisekera

2.1k citations
7 papers · 1.8k indexed · 1 hit paper · h-index 7
Topics
Adenosine and Purinergic Signaling (4 papers)Peptidase Inhibition and Analysis (3 papers)Immune Cell Function and Interaction (2 papers)
Partner nations
AustraliaCanadaGermany

In The Last Decade

Upulie Divisekera

7 papers receiving 1.8k citations

Hit Papers

Anti-CD73 antibody therapy inhibits breast tumor growth a...20102026201520202010100200300400

Peers

Upulie Divisekera
Comparison fields: 5 of 81
  • Oncology 892
  • Physiology 846
  • Immunology 752
  • Molecular Biology 386
  • Biomedical Engineering 183
Replace Kathleen Spring with:
Kathleen Spring Canada
Sally A. Hunsucker United States
Naz Chaudary Canada
Nils-Petter Rudqvist Sweden
Evelyne Zeira Israel
Shanshan Wan China
Shashank J. Patel United States
Robert Eil United States
Kristin DePeaux United States
Paolo Vignali United States
Upulie Divisekera relative to Kathleen Spring Canada Kathleen Spring's profile →
Citations per field
00.5×4.3×
Kathleen Spring · 1×
Citations per year

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
#WorkIndexed citations
1 36
2 290
3 174
4 320
5 381
6
Anti-CD73 antibody therapy inhibits breast tumor growth and metastasisbreakdown →
479
7 92

About Upulie Divisekera

Upulie Divisekera is a scholar working on Physiology, Transplantation and Oncology, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (4 papers), Peptidase Inhibition and Analysis (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Physiology (846 citations), Immunology (752 citations) and Oncology (892 citations). Upulie Divisekera has collaborated with scholars based in Australia, Canada and Germany. Frequent co-authors include Mark J. Smyth, John Stagg, Phillip K. Darcy, Helene Duret, Michele W.L. Teng, Karen M. Dwyer, Janelle Sharkey, Delphine Denoyer, Nicole M. McLaughlin and Sandra Pommey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Chemical Communications.

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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