Joseph Cursons

3.0k total citations · 1 hit paper
32 papers, 1.6k citations indexed

About

Joseph Cursons is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Joseph Cursons has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Joseph Cursons's work include Bioinformatics and Genomic Networks (8 papers), Immune Cell Function and Interaction (7 papers) and RNA Research and Splicing (5 papers). Joseph Cursons is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Immune Cell Function and Interaction (7 papers) and RNA Research and Splicing (5 papers). Joseph Cursons collaborates with scholars based in Australia, New Zealand and United States. Joseph Cursons's co-authors include Nicholas D. Huntington, Jai Rautela, Melissa J. Davis, Fernando Souza-Fonseca-Guimarães, Momeneh Foroutan, Dharmesh D. Bhuva, Ruqian Lyu, Edmund J. Crampin, Kristy Horan and Soroor Hediyeh-zadeh and has published in prestigious journals such as Nucleic Acids Research, Nature reviews. Cancer and Bioinformatics.

In The Last Decade

Joseph Cursons

32 papers receiving 1.6k citations

Hit Papers

The cancer–natural killer cell immunity cycle 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Cursons Australia 18 808 744 696 291 134 32 1.6k
Maciej Kmieciak United States 24 876 1.1× 971 1.3× 849 1.2× 225 0.8× 149 1.1× 66 2.0k
Shunsuke Kitajima Japan 17 442 0.5× 484 0.7× 606 0.9× 289 1.0× 138 1.0× 29 1.2k
Monther Al‐Alwan Saudi Arabia 22 840 1.0× 823 1.1× 626 0.9× 217 0.7× 156 1.2× 46 1.8k
Amira Barkal United States 9 1.2k 1.5× 544 0.7× 939 1.3× 188 0.6× 128 1.0× 11 2.0k
Dennis O. Adeegbe United States 18 1.2k 1.5× 845 1.1× 487 0.7× 164 0.6× 232 1.7× 31 1.9k
Minu K. Srivastava United States 18 1.3k 1.6× 960 1.3× 480 0.7× 209 0.7× 238 1.8× 52 2.0k
Isabelle Robert France 19 445 0.6× 710 1.0× 1.1k 1.6× 224 0.8× 93 0.7× 36 1.7k
Deblina Raychaudhuri India 11 604 0.7× 461 0.6× 408 0.6× 173 0.6× 132 1.0× 17 1.2k
Sandra Pinton Switzerland 15 407 0.5× 405 0.5× 685 1.0× 237 0.8× 232 1.7× 24 1.3k

Countries citing papers authored by Joseph Cursons

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Cursons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Cursons

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Cursons. A scholar is included among the top collaborators of Joseph Cursons 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 Joseph Cursons. Joseph Cursons 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.
Meng, Xiangpeng, Iva Nikolić, Joseph Cursons, et al.. (2025). Core fucosylation of IL-2RB is required for natural killer cell homeostasis. Cell Reports. 44(8). 116101–116101. 1 indexed citations
2.
Pfefferle, Aline, Els Verhoeyen, Kimberly S. Schluns, et al.. (2024). Optimisation of a primary human CAR‐NK cell manufacturing pipeline. Clinical & Translational Immunology. 13(5). e1507–e1507. 11 indexed citations
3.
Cursons, Joseph, Charlene Waryah, Eleanor Woodward, et al.. (2023). Epigenetic reactivation of tumor suppressor genes with CRISPRa technologies as precision therapy for hepatocellular carcinoma. Clinical Epigenetics. 15(1). 73–73. 14 indexed citations
5.
Berthelet, Jean, Momeneh Foroutan, Dharmesh D. Bhuva, et al.. (2022). Computational Screening of Anti-Cancer Drugs Identifies a New BRCA Independent Gene Expression Signature to Predict Breast Cancer Sensitivity to Cisplatin. Cancers. 14(10). 2404–2404. 1 indexed citations
6.
Foroutan, Momeneh, Ramyar Molania, Aline Pfefferle, et al.. (2021). The Ratio of Exhausted to Resident Infiltrating Lymphocytes Is Prognostic for Colorectal Cancer Patient Outcome. Cancer Immunology Research. 9(10). 1125–1140. 21 indexed citations
7.
Pan, Michael, P.J. Gawthrop, Joseph Cursons, & Edmund J. Crampin. (2021). Modular assembly of dynamic models in systems biology. PLoS Computational Biology. 17(10). e1009513–e1009513. 21 indexed citations
8.
Bhuva, Dharmesh D., Joseph Cursons, & Melissa J. Davis. (2020). Stable gene expression for normalisation and single-sample scoring. Nucleic Acids Research. 48(19). e113–e113. 37 indexed citations
9.
Pan, Michael, P.J. Gawthrop, Joseph Cursons, Kenneth Tran, & Edmund J. Crampin. (2020). The cardiac Na+/K+ ATPase: An updated, thermodynamically consistent model. 3 indexed citations
10.
Pan, Michael, P.J. Gawthrop, Joseph Cursons, Kenneth Tran, & Edmund J. Crampin. (2020). The cardiac Na+/K+ ATPase: An updated, thermodynamically consistent model. arXiv (Cornell University). 3 indexed citations
11.
Pillman, Katherine A., Andrew G. Bert, John Toubia, et al.. (2019). Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon–Intron Split Analysis (EISA). Nucleic Acids Research. 47(16). 8606–8619. 7 indexed citations
12.
Pan, Michael, P.J. Gawthrop, Kenneth Tran, Joseph Cursons, & Edmund J. Crampin. (2019). A Thermodynamic Framework for Modelling Membrane Transporters. Biophysical Journal. 116(3). 420a–420a. 1 indexed citations
13.
Bhuva, Dharmesh D., Joseph Cursons, Gordon K. Smyth, & Melissa J. Davis. (2019). Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer. Genome biology. 20(1). 236–236. 38 indexed citations
14.
Souza-Fonseca-Guimarães, Fernando, Joseph Cursons, & Nicholas D. Huntington. (2019). The Emergence of Natural Killer Cells as a Major Target in Cancer Immunotherapy. Trends in Immunology. 40(2). 142–158. 211 indexed citations
15.
Pan, Michael, P.J. Gawthrop, Kenneth Tran, Joseph Cursons, & Edmund J. Crampin. (2018). A thermodynamic framework for modelling membrane transporters. Journal of Theoretical Biology. 481. 10–23. 17 indexed citations
16.
Cursons, Joseph, Katherine A. Pillman, Philip A. Gregory, et al.. (2018). Combinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT. Cell Systems. 7(1). 77–91.e7. 71 indexed citations
17.
Foroutan, Momeneh, Joseph Cursons, Soroor Hediyeh-zadeh, Erik W. Thompson, & Melissa J. Davis. (2017). A Transcriptional Program for Detecting TGFβ-Induced EMT in Cancer. Molecular Cancer Research. 15(5). 619–631. 51 indexed citations
18.
Cursons, Joseph & Melissa J. Davis. (2016). Determining the Significance of Protein Network Features and Attributes Using Permutation Testing. Methods in molecular biology. 1549. 199–208. 1 indexed citations
19.
Gawthrop, P.J., Joseph Cursons, & Edmund J. Crampin. (2015). Hierarchical bond graph modelling of biochemical networks. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 471(2184). 20150642–20150642. 24 indexed citations
20.
Budden, David, Daniel Hurley, Joseph Cursons, et al.. (2014). Predicting expression: the complementary power of histone modification and transcription factor binding data. Epigenetics & Chromatin. 7(1). 36–36. 25 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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