Miranda Grace

3.0k total citations · 1 hit paper
20 papers, 1.9k citations indexed

About

Miranda Grace is a scholar working on Epidemiology, Oncology and Molecular Biology. According to data from OpenAlex, Miranda Grace has authored 20 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 11 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Miranda Grace's work include Cervical Cancer and HPV Research (15 papers), Cancer-related Molecular Pathways (9 papers) and Virus-based gene therapy research (6 papers). Miranda Grace is often cited by papers focused on Cervical Cancer and HPV Research (15 papers), Cancer-related Molecular Pathways (9 papers) and Virus-based gene therapy research (6 papers). Miranda Grace collaborates with scholars based in United States. Miranda Grace's co-authors include Karl Münger, Amy Baldwin, Hiroyuki Hayakawa, Christine Nguyen, Michael C. Owens, Kirsten M. Edwards, Kyung-Won Huh, Alexandra Eichten, Valerie Zacny and Stefan Duensing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Miranda Grace

19 papers receiving 1.8k citations

Hit Papers

Mechanisms of Human Papillomavirus-Induced Oncogenesis 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miranda Grace United States 14 1.0k 841 607 313 303 20 1.9k
Rosita Accardi France 25 1.3k 1.2× 729 0.9× 803 1.3× 628 2.0× 448 1.5× 63 2.4k
Baki Akgũl Germany 24 872 0.9× 461 0.5× 525 0.9× 311 1.0× 222 0.7× 77 1.7k
Mark R. Pett United Kingdom 21 1.0k 1.0× 896 1.1× 359 0.6× 317 1.0× 487 1.6× 27 1.9k
Christine Nguyen United States 9 604 0.6× 513 0.6× 375 0.6× 185 0.6× 190 0.6× 14 1.2k
Karin Butz Germany 28 825 0.8× 1.5k 1.8× 780 1.3× 341 1.1× 289 1.0× 37 2.3k
Sylvie Beaudenon United States 20 963 0.9× 1.6k 1.9× 724 1.2× 512 1.6× 297 1.0× 27 2.8k
Jason J. Chen United States 22 847 0.8× 729 0.9× 564 0.9× 261 0.8× 236 0.8× 54 1.6k
Cary A. Moody United States 24 1.7k 1.6× 1.4k 1.6× 1.2k 1.9× 538 1.7× 446 1.5× 34 3.0k
Daniela Gardiol Argentina 17 701 0.7× 1.0k 1.2× 853 1.4× 169 0.5× 229 0.8× 39 1.9k
David E. Symer United States 20 353 0.3× 1.2k 1.4× 341 0.6× 208 0.7× 240 0.8× 41 2.0k

Countries citing papers authored by Miranda Grace

Since Specialization
Citations

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

Fields of papers citing papers by Miranda Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miranda Grace

This figure shows the co-authorship network connecting the top 25 collaborators of Miranda Grace. A scholar is included among the top collaborators of Miranda Grace 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 Miranda Grace. Miranda Grace 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.
Grace, Miranda, et al.. (2024). The HPV101 E7 protein shares host cellular targets and biological activities with high-risk HPV16 E7. SHILAP Revista de lepidopterología. 19. 200300–200300.
2.
Grace, Miranda, et al.. (2023). The HPV8 E6 protein targets the Hippo and Wnt signaling pathways as part of its arsenal to restrain keratinocyte differentiation. mBio. 14(5). e0155623–e0155623. 6 indexed citations
3.
Romero-Masters, James C., Miranda Grace, Denis Lee, et al.. (2023). MmuPV1 E7’s interaction with PTPN14 delays Epithelial differentiation and contributes to virus-induced skin disease. PLoS Pathogens. 19(4). e1011215–e1011215. 6 indexed citations
4.
Romero-Masters, James C., Laura K. Muehlbauer, Mitchell Hayes, et al.. (2023). MmuPV1 E6 induces cell proliferation and other hallmarks of cancer. mBio. 14(6). e0245823–e0245823. 3 indexed citations
5.
Wei, Tao, Miranda Grace, Aayushi Uberoi, et al.. (2021). The Mus musculus Papillomavirus Type 1 E7 Protein Binds to the Retinoblastoma Tumor Suppressor: Implications for Viral Pathogenesis. mBio. 12(4). e0227721–e0227721. 9 indexed citations
7.
Grace, Miranda, Tara J. Nulton, Brad E. Windle, et al.. (2019). PTPN14 degradation by high-risk human papillomavirus E7 limits keratinocyte differentiation and contributes to HPV-mediated oncogenesis. Proceedings of the National Academy of Sciences. 116(14). 7033–7042. 79 indexed citations
8.
Meyers, Jordan M., Miranda Grace, Aayushi Uberoi, Paul F. Lambert, & Karl Münger. (2018). Inhibition of TGF-β and NOTCH Signaling by Cutaneous Papillomaviruses. Frontiers in Microbiology. 9. 389–389. 29 indexed citations
9.
Meyers, Jordan M., Aayushi Uberoi, Miranda Grace, Paul F. Lambert, & Karl Münger. (2017). Cutaneous HPV8 and MmuPV1 E6 Proteins Target the NOTCH and TGF-β Tumor Suppressors to Inhibit Differentiation and Sustain Keratinocyte Proliferation. PLoS Pathogens. 13(1). e1006171–e1006171. 75 indexed citations
10.
Grace, Miranda & Karl Münger. (2016). Proteomic analysis of the gamma human papillomavirus type 197 E6 and E7 associated cellular proteins. Virology. 500. 71–81. 36 indexed citations
11.
Baldwin, Amy, Dorre A. Grueneberg, Karin Hellner, et al.. (2010). Kinase requirements in human cells: V. Synthetic lethal interactions between p53 and the protein kinases SGK2 and PAK3. Proceedings of the National Academy of Sciences. 107(28). 12463–12468. 48 indexed citations
12.
Baldwin, Amy, Wenliang Li, Miranda Grace, et al.. (2008). Kinase requirements in human cells: II. Genetic interaction screens identify kinase requirements following HPV16 E7 expression in cancer cells. Proceedings of the National Academy of Sciences. 105(43). 16478–16483. 36 indexed citations
13.
Münger, Karl, Amy Baldwin, Kirsten M. Edwards, et al.. (2004). Mechanisms of Human Papillomavirus-Induced Oncogenesis. Journal of Virology. 78(21). 11451–11460. 766 indexed citations breakdown →
15.
Münger, Karl, John R. Basile, Stefan Duensing, et al.. (2001). Biological activities and molecular targets of the human papillomavirus E7 oncoprotein. Oncogene. 20(54). 7888–7898. 468 indexed citations
16.
Jones, D. Leanne, David Thompson, Elizabeth Suh‐Burgmann, Miranda Grace, & Karl Münger. (1999). Expression of the HPV E7 Oncoprotein Mimics but Does Not Evoke a p53-Dependent Cellular DNA Damage Response Pathway. Virology. 258(2). 406–414. 40 indexed citations
17.
Alani, Rhoda M., et al.. (1999). Immortalization of primary human keratinocytes by the helix–loop–helix protein, Id-1. Proceedings of the National Academy of Sciences. 96(17). 9637–9641. 133 indexed citations
19.
Grace, Miranda, Christopher T. Walsh, & Philip A. Cole. (1997). Divalent Ion Effects and Insights into the Catalytic Mechanism of Protein Tyrosine Kinase Csk. Biochemistry. 36(7). 1874–1881. 49 indexed citations
20.
Cole, Philip A., Miranda Grace, Robert S. Phillips, Paul Burn, & Christopher T. Walsh. (1995). The Role of the Catalytic Base in the Protein Tyrosine Kinase Csk. Journal of Biological Chemistry. 270(38). 22105–22108. 42 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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