Corey Lourenco

1.6k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Corey Lourenco is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Corey Lourenco has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 1 paper in Neurology. Recurrent topics in Corey Lourenco's work include Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (5 papers) and Genomics and Chromatin Dynamics (5 papers). Corey Lourenco is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (5 papers) and Genomics and Chromatin Dynamics (5 papers). Corey Lourenco collaborates with scholars based in Canada, Sweden and Italy. Corey Lourenco's co-authors include Linda Z. Penn, Diana Resetca, William B. Tu, Manpreet Kalkat, Brian Raught, Jason De Melo, Maria Sunnerhagen, Yong Wei, C.H. Arrowsmith and David W. Andrews and has published in prestigious journals such as Nature Communications, Nature reviews. Cancer and Molecular Cell.

In The Last Decade

Corey Lourenco

13 papers receiving 1.1k citations

Hit Papers

MYC protein interactors in gene transcription and cancer 2021 2026 2022 2024 2021 50 100 150 200

Peers

Corey Lourenco
Mark R. Albertella United Kingdom
Sarah E. Golding United States
Eloïse Dray United States
Dimitri Semizarov United States
Rebecca A. Dagg Australia
Corey Lourenco
Citations per year, relative to Corey Lourenco Corey Lourenco (= 1×) peers Marie Regairaz

Countries citing papers authored by Corey Lourenco

Since Specialization
Citations

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

Fields of papers citing papers by Corey Lourenco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corey Lourenco

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

All Works

13 of 13 papers shown
1.
Lin, Peter, Corey Lourenco, Jennifer Cruickshank, et al.. (2023). Topoisomerase 1 Inhibition in MYC-Driven Cancer Promotes Aberrant R-Loop Accumulation to Induce Synthetic Lethality. Cancer Research. 83(24). 4015–4029. 18 indexed citations
2.
Mergenthaler, Philipp, et al.. (2021). Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning. PLoS Computational Biology. 17(2). e1008630–e1008630. 26 indexed citations
3.
Lourenco, Corey, Diana Resetca, Peter Lin, et al.. (2021). MYC protein interactors in gene transcription and cancer. Nature reviews. Cancer. 21(9). 579–591. 209 indexed citations breakdown →
4.
Lourenco, Corey, Manpreet Kalkat, Kathleen E. Houlahan, et al.. (2019). Modelling the MYC-driven normal-to-tumour switch in breast cancer. Disease Models & Mechanisms. 12(7). 17 indexed citations
5.
Tu, William B., Yu-Jia Shiah, Corey Lourenco, et al.. (2018). MYC Interacts with the G9a Histone Methyltransferase to Drive Transcriptional Repression and Tumorigenesis. Cancer Cell. 34(4). 579–595.e8. 86 indexed citations
6.
Kalkat, Manpreet, Diana Resetca, Corey Lourenco, et al.. (2018). MYC Protein Interactome Profiling Reveals Functionally Distinct Regions that Cooperate to Drive Tumorigenesis. Molecular Cell. 72(5). 836–848.e7. 120 indexed citations
7.
Dingar, Dharmendra, William B. Tu, Diana Resetca, et al.. (2018). MYC dephosphorylation by the PP1/PNUTS phosphatase complex regulates chromatin binding and protein stability. Nature Communications. 9(1). 3502–3502. 44 indexed citations
8.
Dingar, Dharmendra, William B. Tu, Corey Lourenco, et al.. (2017). Inhibiting MYC binding to the E-box DNA motif by ME47 decreases tumour xenograft growth. Oncogene. 36(49). 6830–6837. 30 indexed citations
9.
Melo, Jason De, et al.. (2017). Lysine-52 stabilizes the MYC oncoprotein through an SCFFbxw7-independent mechanism. Oncogene. 36(49). 6815–6822. 5 indexed citations
10.
Kalkat, Manpreet, Jason De Melo, Corey Lourenco, et al.. (2017). MYC Deregulation in Primary Human Cancers. Genes. 8(6). 151–151. 285 indexed citations
11.
Tu, William B., Sara Helander, Corey Lourenco, et al.. (2014). Myc and its interactors take shape. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(5). 469–483. 96 indexed citations
12.
Lohse, Ines, Corey Lourenco, Emin Ibrahimov, et al.. (2014). Assessment of Hypoxia in the Stroma of Patient-Derived Pancreatic Tumor Xenografts. Cancers. 6(1). 459–471. 60 indexed citations
13.
Tempone, André G., et al.. (2001). Bothrops moojeni Venom Kills Leishmania spp. with Hydrogen Peroxide Generated by Its -Amino Acid Oxidase. Biochemical and Biophysical Research Communications. 280(3). 620–624. 101 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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