Y. Grace Chen

5.0k total citations · 4 hit papers
15 papers, 3.1k citations indexed

About

Y. Grace Chen is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Y. Grace Chen has authored 15 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 1 paper in Epidemiology. Recurrent topics in Y. Grace Chen's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (6 papers). Y. Grace Chen is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and RNA Research and Splicing (6 papers). Y. Grace Chen collaborates with scholars based in United States, Switzerland and Netherlands. Y. Grace Chen's co-authors include Howard Y. Chang, Ansuman T. Satpathy, Sun Hur, Pedro J. Batista, James P. Broughton, Jeewon Kim, David R. Liu, Xingqi Chen, Akiko Iwasaki and Myoungjoo V. Kim and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Y. Grace Chen

14 papers receiving 3.1k citations

Hit Papers

m6A mRNA methylation controls T cell homeostasis by targe... 2017 2026 2020 2023 2017 2017 2019 2021 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways
    2017 707 citations Huabing Li, Jiyu Tong et al. Nature profile →
  2. Gene regulation in the immune system by long noncoding RNAs
    2017 523 citations Y. Grace Chen, Ansuman T. Satpathy et al. Nature Immunology profile →
  3. N6-Methyladenosine Modification Controls Circular RNA Immunity
    2019 431 citations Y. Grace Chen, Robert Chen et al. Molecular Cell profile →
  4. Cellular origins of dsRNA, their recognition and consequences
    2021 233 citations Y. Grace Chen, Sun Hur Nature Reviews Molecular Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. Grace Chen United States 12 2.8k 1.8k 379 184 139 15 3.1k
Virginie Marchand France 31 2.5k 0.9× 869 0.5× 106 0.3× 171 0.9× 51 0.4× 104 2.8k
Katherine E. Sloan Germany 27 2.8k 1.0× 781 0.4× 75 0.2× 199 1.1× 147 1.1× 35 3.0k
Rick Conrad United States 5 1.7k 0.6× 860 0.5× 172 0.5× 42 0.2× 45 0.3× 7 1.9k
Anthony O. Olarerin-George United States 13 2.3k 0.9× 1.1k 0.6× 163 0.4× 120 0.7× 250 1.8× 16 2.6k
H. Navabi United Kingdom 12 1.1k 0.4× 386 0.2× 511 1.3× 263 1.4× 21 0.2× 18 1.7k
Joseph M. Ziegelbauer United States 22 717 0.3× 545 0.3× 262 0.7× 594 3.2× 31 0.2× 46 1.4k
Elena Y. Rykova Russia 22 1.3k 0.5× 943 0.5× 142 0.4× 271 1.5× 13 0.1× 71 1.8k
Micol Silic‐Benussi Italy 19 549 0.2× 326 0.2× 503 1.3× 180 1.0× 20 0.1× 38 1.2k
Santosh K. Patnaik United States 25 1.5k 0.6× 788 0.4× 328 0.9× 321 1.7× 6 0.0× 43 2.1k

Countries citing papers authored by Y. Grace Chen

Since Specialization
Citations

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

Fields of papers citing papers by Y. Grace Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Grace Chen

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

All Works

15 of 15 papers shown
1.
Zheng, Shu-Jian, Haomiao Su, Lichong Yan, et al.. (2025). The ERVK3-1 Microprotein Interacts with the HUSH Complex. Biochemistry. 64(15). 3372–3381.
2.
Singh, Amrita, et al.. (2025). Human and pathogen-encoded circular RNAs in viral infections: insights into functions and therapeutic opportunities. Human Molecular Genetics. 34(R1). R54–R67. 1 indexed citations
3.
Singh, A.D., et al.. (2024). A scalable and cost-efficient rRNA depletion approach to enrich RNAs for molecular biology investigations. RNA. 30(6). rna.079761.123–rna.079761.123. 3 indexed citations
4.
Chen, Y. Grace, et al.. (2023). Differences in the immunogenicity of engineered circular RNAs. Journal of Molecular Cell Biology. 15(1). 14 indexed citations
5.
Ko, Emily, Marco De Simone, Xianzhi Lin, et al.. (2022). circCsnk1g3- and circAnkib1-regulated interferon responses in sarcoma promote tumorigenesis by shaping the immune microenvironment. Nature Communications. 13(1). 7243–7243. 12 indexed citations
6.
Chen, Y. Grace & Sun Hur. (2021). Cellular origins of dsRNA, their recognition and consequences. Nature Reviews Molecular Cell Biology. 23(4). 286–301. 233 indexed citations breakdown →
7.
Yan, Lichong & Y. Grace Chen. (2020). Circular RNAs in Immune Response and Viral Infection. Trends in Biochemical Sciences. 45(12). 1022–1034. 79 indexed citations
8.
Chen, Y. Grace, Robert Chen, Sadeem Ahmad, et al.. (2019). N6-Methyladenosine Modification Controls Circular RNA Immunity. Molecular Cell. 76(1). 96–109.e9. 431 indexed citations breakdown →
9.
Cho, Seung Woo, Jin Xu, Ruping Sun, et al.. (2018). Promoter of lncRNA Gene PVT1 Is a Tumor-Suppressor DNA Boundary Element. Cell. 173(6). 1398–1412.e22. 313 indexed citations
10.
Chen, Y. Grace, Myoungjoo V. Kim, Xingqi Chen, et al.. (2017). Sensing Self and Foreign Circular RNAs by Intron Identity. Molecular Cell. 67(2). 228–238.e5. 362 indexed citations
11.
Li, Huabing, Jiyu Tong, Shu Zhu, et al.. (2017). m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways. Nature. 548(7667). 338–342. 707 indexed citations breakdown →
12.
Bailey, Alexis S., Pedro J. Batista, Rebecca Gold, et al.. (2017). The conserved RNA helicase YTHDC2 regulates the transition from proliferation to differentiation in the germline. eLife. 6. 167 indexed citations
13.
Chen, Y. Grace, Ansuman T. Satpathy, & Howard Y. Chang. (2017). Gene regulation in the immune system by long noncoding RNAs. Nature Immunology. 18(9). 962–972. 523 indexed citations breakdown →
14.
Dumelin, Christoph E., Yiyun Chen, Aaron M. Leconte, Y. Grace Chen, & David R. Liu. (2012). Discovery and biological characterization of geranylated RNA in bacteria. Nature Chemical Biology. 8(11). 913–919. 96 indexed citations
15.
Chen, Y. Grace, Walter E. Kowtoniuk, Isha Agarwal, Yinghua Shen, & David R. Liu. (2009). LC/MS analysis of cellular RNA reveals NAD-linked RNA. Nature Chemical Biology. 5(12). 879–881. 150 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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