Renee Read

1.4k total citations
28 papers, 971 citations indexed

About

Renee Read is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Renee Read has authored 28 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Renee Read's work include Hippo pathway signaling and YAP/TAZ (12 papers), Glioma Diagnosis and Treatment (7 papers) and Cancer Mechanisms and Therapy (5 papers). Renee Read is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (12 papers), Glioma Diagnosis and Treatment (7 papers) and Cancer Mechanisms and Therapy (5 papers). Renee Read collaborates with scholars based in United States, Spain and United Kingdom. Renee Read's co-authors include Ross Cagan, Frank B. Furnari, John B. Thomas, Webster K. Cavenee, Thomas E. Smithgall, Erika A Bach, Jack M. Lionberger, Marcos Vidal, Stephen J. Warner and Se-Yeong Oh and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Renee Read

28 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renee Read United States 16 635 304 207 157 148 28 971
Zhicheng Mo United States 9 479 0.8× 177 0.6× 168 0.8× 113 0.7× 116 0.8× 12 856
Kazuya Hori Japan 14 954 1.5× 291 1.0× 109 0.5× 105 0.7× 96 0.6× 19 1.2k
Cecilia Annerén Sweden 17 786 1.2× 249 0.8× 129 0.6× 186 1.2× 87 0.6× 28 1.1k
Isabelle Cornez Germany 10 501 0.8× 156 0.5× 126 0.6× 145 0.9× 165 1.1× 12 904
Mordechai Anafi Canada 13 628 1.0× 212 0.7× 176 0.9× 199 1.3× 123 0.8× 16 1.1k
Myrto Raftopoulou United Kingdom 5 1.0k 1.6× 609 2.0× 161 0.8× 199 1.3× 57 0.4× 10 1.5k
Sarah Nicholls United Kingdom 9 563 0.9× 261 0.9× 220 1.1× 172 1.1× 60 0.4× 13 954
Nieves Movilla Spain 13 819 1.3× 256 0.8× 197 1.0× 177 1.1× 47 0.3× 19 1.2k
Alessia Errico Italy 15 788 1.2× 446 1.5× 84 0.4× 280 1.8× 141 1.0× 51 1.4k
Daisuke Kawauchi Japan 17 837 1.3× 113 0.4× 216 1.0× 196 1.2× 260 1.8× 41 1.2k

Countries citing papers authored by Renee Read

Since Specialization
Citations

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

Fields of papers citing papers by Renee Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renee Read

This figure shows the co-authorship network connecting the top 25 collaborators of Renee Read. A scholar is included among the top collaborators of Renee Read 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 Renee Read. Renee Read 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.
Ku, Li, Guannan Zhang, Liang Shi, et al.. (2024). Isoform balance of the long noncoding RNA NEAT1 is regulated by the RNA-binding protein QKI, governs the glioma transcriptome, and impacts cell migration. Journal of Biological Chemistry. 300(8). 107595–107595. 5 indexed citations
2.
Read, Renee, et al.. (2024). Glioblastoma microenvironment—from biology to therapy. Genes & Development. 38(9-10). 360–379. 13 indexed citations
3.
Read, Renee, et al.. (2022). A protocol to use Drosophila melanogaster larvae to model human glioblastoma. STAR Protocols. 3(3). 101609–101609. 1 indexed citations
4.
Desai, Pankaj B., Jack L. Arbiser, David R. Plas, et al.. (2021). Reuse of Molecules for Glioblastoma Therapy. Pharmaceuticals. 14(2). 99–99. 3 indexed citations
5.
Boyd, Nathaniel, et al.. (2020). YAP/TAZ Transcriptional Coactivators Create Therapeutic Vulnerability to Verteporfin in EGFR-mutant Glioblastoma. Clinical Cancer Research. 27(5). 1553–1569. 88 indexed citations
6.
Read, Renee, et al.. (2019). Drosophila melanogaster as a Model System for Human Glioblastomas. Advances in experimental medicine and biology. 1167. 207–224. 10 indexed citations
7.
Maximov, Victor, et al.. (2019). Upregulation of the chromatin remodeler HELLS is mediated by YAP1 in Sonic Hedgehog Medulloblastoma. Scientific Reports. 9(1). 18 indexed citations
8.
Appin, Christina, et al.. (2018). Drak/STK17A Drives Neoplastic Glial Proliferation through Modulation of MRLC Signaling. Cancer Research. 79(6). 1085–1097. 15 indexed citations
9.
Mukherjee, Amitava, Carol Tucker‐Burden, Monica Chau, et al.. (2018). CDK5 Inhibition Resolves PKA/cAMP-Independent Activation of CREB1 Signaling in Glioma Stem Cells. Cell Reports. 23(6). 1651–1664. 35 indexed citations
10.
Mukherjee, Amitava, Carol Tucker‐Burden, Changming Zhang, et al.. (2016). Drosophila Brat and Human Ortholog TRIM3 Maintain Stem Cell Equilibrium and Suppress Brain Tumorigenesis by Attenuating Notch Nuclear Transport. Cancer Research. 76(8). 2443–2452. 42 indexed citations
11.
Mukherjee, Amitava, Monica Chau, Carol Tucker‐Burden, et al.. (2016). STMC-24. NOVEL INHIBITOR OF CDK5 SIGNALING AXIS SUPPRESSES SELF-RENEWAL PROPERTIES OF GBM STEM CELLS AND INDUCES APOPTOSIS. Neuro-Oncology. 18(suppl_6). vi187–vi187. 1 indexed citations
12.
Clark, Daniel N., et al.. (2013). Four Promoters of IRF5 Respond Distinctly to Stimuli and are Affected by Autoimmune-Risk Polymorphisms. Frontiers in Immunology. 4. 360–360. 24 indexed citations
13.
Read, Renee, Tim R. Fenton, German G. Gomez, et al.. (2013). A Kinome-Wide RNAi Screen in Drosophila Glia Reveals That the RIO Kinases Mediate Cell Proliferation and Survival through TORC2-Akt Signaling in Glioblastoma. PLoS Genetics. 9(2). e1003253–e1003253. 96 indexed citations
14.
Read, Renee. (2011). Drosophila melanogaster as a model system for human brain cancers. Glia. 59(9). 1364–1376. 39 indexed citations
15.
Read, Renee, Webster K. Cavenee, Frank B. Furnari, & John B. Thomas. (2009). A Drosophila Model for EGFR-Ras and PI3K-Dependent Human Glioma. PLoS Genetics. 5(2). e1000374–e1000374. 147 indexed citations
16.
Vidal, Marcos, Stephen J. Warner, Renee Read, & Ross Cagan. (2007). Differing Src Signaling Levels Have Distinct Outcomes in Drosophila. Cancer Research. 67(21). 10278–10285. 52 indexed citations
17.
Read, Renee, et al.. (2005). A Drosophila Model of Multiple Endocrine Neoplasia Type 2. Genetics. 171(3). 1057–1081. 66 indexed citations
18.
Miller, David T., et al.. (2000). The Drosophila primo locus encodes two low-molecular-weight tyrosine phosphatases. Gene. 243(1-2). 1–9. 12 indexed citations
19.
Read, Renee, Jack M. Lionberger, & Thomas E. Smithgall. (1997). Oligomerization of the Fes Tyrosine Kinase. Journal of Biological Chemistry. 272(29). 18498–18503. 69 indexed citations
20.
Rogers, Jim, Renee Read, Jianze Li, Kristi L. Peters, & Thomas E. Smithgall. (1996). Autophosphorylation of the Fes Tyrosine Kinase. Journal of Biological Chemistry. 271(29). 17519–17525. 56 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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