Renée M. McKay

6.8k total citations · 1 hit paper
47 papers, 4.4k citations indexed

About

Renée M. McKay is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Renée M. McKay has authored 47 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 12 papers in Cancer Research. Recurrent topics in Renée M. McKay's work include Renal cell carcinoma treatment (11 papers), Neurofibromatosis and Schwannoma Cases (10 papers) and Cancer Genomics and Diagnostics (7 papers). Renée M. McKay is often cited by papers focused on Renal cell carcinoma treatment (11 papers), Neurofibromatosis and Schwannoma Cases (10 papers) and Cancer Genomics and Diagnostics (7 papers). Renée M. McKay collaborates with scholars based in United States, Russia and Taiwan. Renée M. McKay's co-authors include Luis F. Parada, Jian Chen, Jonathan M. Graff, Dennis K. Burns, Yanjiao Li, Tzong‐Shiue Yu, Steven G. Kernie, John M. Peters, Leon Avery and Jae Myoung Suh and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Renée M. McKay

44 papers receiving 4.4k citations

Hit Papers

A restricted cell population propagates glioblastoma grow... 2012 2026 2016 2021 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renée M. McKay United States 25 2.5k 1.2k 969 850 458 47 4.4k
Kyeung Min Joo South Korea 37 2.9k 1.1× 1.6k 1.4× 1.4k 1.4× 1.3k 1.6× 564 1.2× 135 5.3k
Silvia Marino United Kingdom 33 4.6k 1.8× 1.4k 1.2× 722 0.7× 826 1.0× 299 0.7× 131 6.3k
Andreas Waha Germany 38 2.4k 1.0× 783 0.7× 766 0.8× 1.8k 2.1× 514 1.1× 91 4.2k
Pilar Sánchez‐Gómez Spain 31 4.3k 1.7× 1.4k 1.2× 775 0.8× 865 1.0× 268 0.6× 79 5.9k
Stephen C. Mack United States 28 3.1k 1.2× 1.1k 1.0× 1.4k 1.5× 1.9k 2.2× 429 0.9× 71 5.2k
Svetlana Kotliarova United States 21 2.2k 0.9× 1.2k 1.0× 880 0.9× 1.2k 1.4× 186 0.4× 26 3.6k
Steven M. Pollard United Kingdom 40 4.3k 1.7× 860 0.7× 988 1.0× 1.2k 1.4× 186 0.4× 99 5.9k
Claudia Petritsch United States 24 2.8k 1.1× 1.0k 0.9× 1.8k 1.9× 887 1.0× 347 0.8× 38 4.4k
Gerald C. Chu United States 26 3.7k 1.5× 2.2k 1.9× 1.1k 1.2× 373 0.4× 418 0.9× 30 5.7k

Countries citing papers authored by Renée M. McKay

Since Specialization
Citations

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

Fields of papers citing papers by Renée M. McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renée M. McKay. 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 Renée M. McKay. The network helps show where Renée M. McKay may publish in the future.

Co-authorship network of co-authors of Renée M. McKay

This figure shows the co-authorship network connecting the top 25 collaborators of Renée M. McKay. A scholar is included among the top collaborators of Renée M. McKay 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 Renée M. McKay. Renée M. McKay 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.
Chen, Zhiguo, et al.. (2025). Disruption of Krox20-Notch1 signaling blocks meibomian gland development and homeostasis leading to dry eye disease. Nature Communications. 16(1). 11584–11584.
2.
Shipman, Tracey, et al.. (2025). Hair follicle epithelial stem cells contribute to interfollicular epidermis during homeostasis. JCI Insight. 10(16). 1 indexed citations
3.
Mo, Jiezhang, Matthew Tegtmeyer, Reine Nehmé, et al.. (2024). 735 Econazole selectively induces cell death in NF1-homozygous mutant tumor cells. Journal of Investigative Dermatology. 144(8). S129–S129. 1 indexed citations
4.
Somatilaka, Bandarigoda N., et al.. (2024). STING activation reprograms the microenvironment to sensitize NF1-related malignant peripheral nerve sheath tumors for immunotherapy. Journal of Clinical Investigation. 134(10). 6 indexed citations
5.
Jiang, Chunhui, Renée M. McKay, & Lu Q. Le. (2021). Tumorigenesis in neurofibromatosis type 1: role of the microenvironment. Oncogene. 40(39). 5781–5787. 21 indexed citations
6.
Jiang, Chunhui, et al.. (2021). Insights into the Pathogenesis of NF1-Associated Neoplasms. SHILAP Revista de lepidopterología. 1(3). 100044–100044. 5 indexed citations
7.
Reig, Òscar, Akhilesh Mishra, Alana Christie, et al.. (2021). Molecular Genetic Determinants of Shorter Time on Active Surveillance in a Prospective Phase 2 Clinical Trial in Metastatic Renal Cell Carcinoma. European Urology. 81(6). 555–558. 9 indexed citations
8.
Patel, Viral, Roy Elias, William Schwartzman, et al.. (2020). Acute interstitial nephritis, a potential predictor of response to immune checkpoint inhibitors in renal cell carcinoma. Journal for ImmunoTherapy of Cancer. 8(2). e001198–e001198. 24 indexed citations
9.
Mulgaonkar, Aditi, Layton Woolford, Kien Nham, et al.. (2019). PD-L1 detection using 89Zr-atezolizumab immuno-PET in renal cell carcinoma tumorgrafts from a patient with favorable nivolumab response. Journal for ImmunoTherapy of Cancer. 7(1). 144–144. 62 indexed citations
10.
Christie, Alana, Tiffani McKenzie, Nicholas C. Wolff, et al.. (2017). Modeling Renal Cell Carcinoma in Mice: Bap1 and Pbrm1 Inactivation Drive Tumor Grade. Cancer Discovery. 7(8). 900–917. 110 indexed citations
11.
Amiri, Anahita, Efrain Sanchez‐Ortiz, Woosung Cho, et al.. (2014). Analysis of Fmr1 Deletion in a Subpopulation of Post‐Mitotic Neurons in Mouse Cortex and Hippocampus. Autism Research. 7(1). 60–71. 12 indexed citations
12.
Mo, Wei, Jian Chen, Amish J. Patel, et al.. (2013). CXCR4/CXCL12 Mediate Autocrine Cell- Cycle Progression in NF1-Associated Malignant Peripheral Nerve Sheath Tumors. Cell. 152(5). 1077–1090. 130 indexed citations
13.
Chen, Jian, Renée M. McKay, & Luis F. Parada. (2012). Malignant Glioma: Lessons from Genomics, Mouse Models, and Stem Cells. Cell. 149(1). 36–47. 418 indexed citations
14.
Llaguno, Sheila R. Alcantara, Yuntao Chen, Renée M. McKay, & Luis F. Parada. (2011). Stem Cells in Brain Tumor Development. Current topics in developmental biology. 94. 15–44. 14 indexed citations
15.
Lim, Sang Kyun, Sheila R. Alcantara Llaguno, Renée M. McKay, & Luis F. Parada. (2011). Glioblastoma multiforme: a perspective on recent findings in human cancer and mouse models. BMB Reports. 44(3). 158–164. 50 indexed citations
16.
Suh, Jae Myoung, et al.. (2006). Hedgehog signaling plays a conserved role in inhibiting fat formation. Cell Metabolism. 3(1). 25–34. 222 indexed citations
17.
Leker, Ronen R. & Renée M. McKay. (2004). Using Endogenous Neural Stem Cells to Enhance Recovery from Ischemic Brain Injury. Current Neurovascular Research. 1(5). 421–427. 17 indexed citations
18.
McKay, Renée M., et al.. (2003). C. elegans. Developmental Cell. 4(1). 131–142. 254 indexed citations
19.
McKay, Renée M., John Peters, & Jonathan M. Graff. (2001). The Casein Kinase I Family in Wnt Signaling. Developmental Biology. 235(2). 388–396. 97 indexed citations
20.
McKay, Renée M., John M. Peters, & Jonathan M. Graff. (2001). The Casein Kinase I Family: Roles in Morphogenesis. Developmental Biology. 235(2). 378–387. 41 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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