P. Renée Yew

2.8k total citations · 1 hit paper
23 papers, 2.4k citations indexed

About

P. Renée Yew is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, P. Renée Yew has authored 23 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in P. Renée Yew's work include Cancer-related Molecular Pathways (13 papers), Ubiquitin and proteasome pathways (12 papers) and Microtubule and mitosis dynamics (9 papers). P. Renée Yew is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), Ubiquitin and proteasome pathways (12 papers) and Microtubule and mitosis dynamics (9 papers). P. Renée Yew collaborates with scholars based in United States, United Kingdom and South Korea. P. Renée Yew's co-authors include Michele Pagano, Giulio Draetta, Giannino Del Sal, Sun W. Tam, Anne M. Theodoras, Vincent Chau, Mark Rolfe, Peggy Beer‐Romero, Arnold Berk and Xiaoming Liu and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

P. Renée Yew

23 papers receiving 2.4k citations

Hit Papers

Role of the Ubiquitin-Pro... 1995 2026 2005 2015 1995 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
P. Renée Yew United States 15 1.9k 1.5k 386 335 254 23 2.4k
Liang Zhu United States 24 2.0k 1.0× 1.8k 1.2× 340 0.9× 431 1.3× 258 1.0× 46 3.0k
Panayotis Zacharatos Greece 17 2.5k 1.3× 1.2k 0.8× 381 1.0× 291 0.9× 522 2.1× 21 3.1k
Richard A. DiTullio United States 9 2.8k 1.4× 1.4k 0.9× 408 1.1× 260 0.8× 604 2.4× 9 3.1k
Anne M. Theodoras United States 8 2.5k 1.3× 2.1k 1.4× 622 1.6× 195 0.6× 399 1.6× 8 3.2k
R A Weinberg United States 21 1.8k 1.0× 1.3k 0.9× 409 1.1× 342 1.0× 322 1.3× 33 2.5k
Barbara Faha United States 15 1.7k 0.9× 1.6k 1.1× 320 0.8× 637 1.9× 335 1.3× 19 2.5k
Toshiki Mori Japan 16 1.6k 0.8× 868 0.6× 157 0.4× 246 0.7× 301 1.2× 24 2.4k
Rebecca Haffner Israel 12 1.8k 0.9× 1.4k 1.0× 204 0.5× 189 0.6× 336 1.3× 15 2.3k
Thomas Look United States 19 2.1k 1.1× 882 0.6× 289 0.7× 299 0.9× 308 1.2× 36 3.1k
Deborah A. Zajchowski United States 26 1.3k 0.7× 708 0.5× 190 0.5× 594 1.8× 319 1.3× 38 2.0k

Countries citing papers authored by P. Renée Yew

Since Specialization
Citations

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

Fields of papers citing papers by P. Renée Yew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Renée Yew

This figure shows the co-authorship network connecting the top 25 collaborators of P. Renée Yew. A scholar is included among the top collaborators of P. Renée Yew 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 P. Renée Yew. P. Renée Yew 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.
Kim, Nam Hee, Carolina B. Livi, P. Renée Yew, & Thomas G. Boyer. (2016). Mediator subunit Med12 contributes to the maintenance of neural stem cell identity. BMC Developmental Biology. 16(1). 17–17. 3 indexed citations
2.
Yew, P. Renée, et al.. (2014). Small-Molecule High-Throughput Screening Utilizing Xenopus Egg Extract. Methods in molecular biology. 1263. 63–73. 4 indexed citations
3.
Son, Mi‐Young, Cory Holland, Satoshi Tateishi, et al.. (2013). Two replication fork maintenance pathways fuse inverted repeats to rearrange chromosomes. Nature. 501(7468). 569–572. 36 indexed citations
4.
Kim, Dong Hyun, et al.. (2013). Proteolysis of Xenopus Cip-type CDK inhibitor, p16Xic2, is regulated by PCNA binding and CDK2 phosphorylation. Cell Division. 8(1). 5–5. 1 indexed citations
5.
Lu, Yunzhe, Jiezhi Li, Dongmei Cheng, et al.. (2012). The F-box Protein FBXO44 Mediates BRCA1 Ubiquitination and Degradation. Journal of Biological Chemistry. 287(49). 41014–41022. 50 indexed citations
6.
Nair, Binoj C., Sujit S. Nair, Dimple Chakravarty, et al.. (2010). Cyclin-Dependent Kinase–Mediated Phosphorylation Plays a Critical Role in the Oncogenic Functions of PELP1. Cancer Research. 70(18). 7166–7175. 35 indexed citations
7.
Kim, Dong Hyun, et al.. (2010). The CRL4Cdt2 Ubiquitin Ligase Mediates the Proteolysis of Cyclin-Dependent Kinase Inhibitor Xic1 through a Direct Association with PCNA. Molecular and Cellular Biology. 30(17). 4120–4133. 33 indexed citations
8.
Philpott, Anna & P. Renée Yew. (2008). The Xenopus Cell Cycle: An Overview. Molecular Biotechnology. 39(1). 9–19. 37 indexed citations
9.
Wise, Helen, et al.. (2007). The E3 ubiquitin ligase skp2 regulates neural differentiation independent from the cell cycle. Neural Development. 2(1). 27–27. 18 indexed citations
10.
Philpott, Anna, et al.. (2006). Ubiquitination of Cyclin-Dependent Kinase Inhibitor, Xic1, is Mediated by the Xenopus F-box Protein xSkp2. Cell Cycle. 5(3). 304–314. 9 indexed citations
11.
Pfleger, Cathie M., et al.. (2005). The C-terminal Domain of the Xenopus Cyclin-dependent Kinase Inhibitor, p27 , Is Both Necessary and Sufficient for Phosphorylation-independent Proteolysis. Journal of Biological Chemistry. 280(42). 35290–35298. 12 indexed citations
12.
Yew, P. Renée, et al.. (2005). Proliferating Cell Nuclear Antigen Recruits Cyclin-dependent Kinase Inhibitor Xic1 to DNA and Couples Its Proteolysis to DNA Polymerase Switching. Journal of Biological Chemistry. 280(42). 35299–35309. 24 indexed citations
14.
Philpott, Anna & P. Renée Yew. (2004). The <I>Xenopus</I> Cell Cycle: An Overview. Humana Press eBooks. 296. 95–112. 12 indexed citations
15.
Chauhan, Dharminder, Guilan Li, Teru Hideshima, et al.. (2004). Blockade of ubiquitin-conjugating enzyme CDC34 enhances anti-myeloma activity of Bortezomib/Proteasome inhibitor PS-341. Oncogene. 23(20). 3597–3602. 48 indexed citations
16.
Yew, P. Renée. (2001). Ubiquitin-mediated proteolysis of vertebrate G1- and S-phase regulators. Journal of Cellular Physiology. 187(1). 1–10. 86 indexed citations
17.
Yew, P. Renée, et al.. (2001). Regulation of Nuclear Transport and Degradation of the Xenopus Cyclin-dependent Kinase Inhibitor, p27Xic1. Journal of Biological Chemistry. 276(2). 1610–1617. 28 indexed citations
18.
Block, Karen, Thomas G. Boyer, & P. Renée Yew. (2001). Phosphorylation of the Human Ubiquitin-conjugating Enzyme, CDC34, by Casein Kinase 2. Journal of Biological Chemistry. 276(44). 41049–41058. 34 indexed citations
19.
Pagano, Michele, Sun W. Tam, Anne M. Theodoras, et al.. (1995). Role of the Ubiquitin-Proteasome Pathway in Regulating Abundance of the Cyclin-Dependent Kinase Inhibitor p27. Science. 269(5224). 682–685. 1629 indexed citations breakdown →
20.
Yew, P. Renée, Tripathi B. Rajavashisth, James Forrester, Péter Baráth, & Aldons J. Lusis. (1989). NIH3T3 transforming gene not a general feature of atherosclerotic plaque DNA. Biochemical and Biophysical Research Communications. 165(3). 1067–1071. 6 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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