Rachel E. Cherney

470 total citations
10 papers, 326 citations indexed

About

Rachel E. Cherney is a scholar working on Molecular Biology, Cancer Research and Political Science and International Relations. According to data from OpenAlex, Rachel E. Cherney has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Political Science and International Relations. Recurrent topics in Rachel E. Cherney's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (4 papers). Rachel E. Cherney is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (4 papers). Rachel E. Cherney collaborates with scholars based in United States and Russia. Rachel E. Cherney's co-authors include J. Mauro Calabrese, Ahmed F. Mohamed, Gene E. Ananiev, Yan Liu, Ronghui Li, Qiping Dong, Hongda Li, Xiaofen Zhong, Benjamin Lin and Jianfeng Lü and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Human Molecular Genetics.

In The Last Decade

Rachel E. Cherney

9 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel E. Cherney United States 7 265 118 104 57 39 10 326
Amy B. Wilfert United States 5 244 0.9× 197 1.7× 33 0.3× 54 0.9× 22 0.6× 6 365
Ryan Ziffra United States 3 266 1.0× 59 0.5× 32 0.3× 27 0.5× 56 1.4× 3 326
Ashwani Choudhary Israel 8 156 0.6× 56 0.5× 105 1.0× 26 0.5× 16 0.4× 12 265
Shawn C. Moseley United States 8 263 1.0× 85 0.7× 85 0.8× 41 0.7× 14 0.4× 13 362
Satoshi Miyashita Japan 10 145 0.5× 91 0.8× 52 0.5× 14 0.2× 44 1.1× 21 281
Jayden Ross United States 5 211 0.8× 43 0.4× 27 0.3× 23 0.4× 53 1.4× 6 282
Marat Mufteev Canada 8 207 0.8× 133 1.1× 27 0.3× 84 1.5× 23 0.6× 11 284
Bettina Lipkowitz Germany 6 297 1.1× 168 1.4× 25 0.2× 60 1.1× 42 1.1× 6 383
Rebecca S.F. Mok Canada 6 191 0.7× 121 1.0× 26 0.3× 53 0.9× 21 0.5× 6 238
Dan Vershkov Israel 7 388 1.5× 199 1.7× 14 0.1× 78 1.4× 16 0.4× 9 455

Countries citing papers authored by Rachel E. Cherney

Since Specialization
Citations

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

Fields of papers citing papers by Rachel E. Cherney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Cherney. 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 Rachel E. Cherney. The network helps show where Rachel E. Cherney may publish in the future.

Co-authorship network of co-authors of Rachel E. Cherney

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

All Works

10 of 10 papers shown
1.
Li, Shuang, Rachel E. Cherney, Steve Bischoff, et al.. (2025). Isogenic comparison of Airn and Xist reveals core principles of Polycomb recruitment by lncRNAs. Molecular Cell. 85(6). 1117–1133.e14.
2.
Cherney, Rachel E., Christine A. Mills, Alessandro Porrello, et al.. (2023). SAFB associates with nascent RNAs and can promote gene expression in mouse embryonic stem cells. RNA. 29(10). 1535–1556. 2 indexed citations
3.
Cherney, Rachel E., et al.. (2023). A monoclonal antibody raised against human EZH2 cross-reacts with the RNA-binding protein SAFB. Biology Open. 12(6). 7 indexed citations
5.
Hoggard, Timothy, et al.. (2021). The Fkh1 Forkhead associated domain promotes ORC binding to a subset of DNA replication origins in budding yeast. Nucleic Acids Research. 49(18). 10207–10220. 13 indexed citations
6.
Cherney, Rachel E., et al.. (2021). The control of polycomb repressive complexes by long noncoding RNAs. Wiley Interdisciplinary Reviews - RNA. 12(6). e1657–e1657. 22 indexed citations
7.
Lee, David M., Rachel E. Cherney, Susan O. Kim, et al.. (2020). Elements at the 5′ end of Xist harbor SPEN-independent transcriptional antiterminator activity. Nucleic Acids Research. 48(18). 10500–10517. 11 indexed citations
8.
Schertzer, Megan D., Joshua Starmer, Rachel E. Cherney, et al.. (2019). lncRNA-Induced Spread of Polycomb Controlled by Genome Architecture, RNA Abundance, and CpG Island DNA. Molecular Cell. 75(3). 523–537.e10. 98 indexed citations
9.
10.
Zhong, Xiaofen, Ahmed F. Mohamed, Ronghui Li, et al.. (2014). Mutant astrocytes differentiated from Rett syndrome patients-specific iPSCs have adverse effects on wild-type neurons. Human Molecular Genetics. 23(11). 2968–2980. 157 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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