Yongjun Chu

1.8k total citations
26 papers, 1.3k citations indexed

About

Yongjun Chu is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Yongjun Chu has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in Yongjun Chu's work include RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Interference and Gene Delivery (6 papers). Yongjun Chu is often cited by papers focused on RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Interference and Gene Delivery (6 papers). Yongjun Chu collaborates with scholars based in United States, China and Singapore. Yongjun Chu's co-authors include David R. Corey, Bethany A. Janowski, Keith T. Gagnon, David R. Corey, Liande Li, Yue Xuan, Scott T. Younger, Masayuki Matsui, Brent L. Iverson and Sarfraz Shaikh and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Biochemistry.

In The Last Decade

Yongjun Chu

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongjun Chu United States 17 1.1k 532 61 59 54 26 1.3k
Alexander O. Subtelny United States 13 1.4k 1.2× 469 0.9× 106 1.7× 70 1.2× 65 1.2× 19 1.6k
Julien Béthune Germany 14 823 0.7× 129 0.2× 61 1.0× 52 0.9× 54 1.0× 20 1.1k
Zonggui Chen China 15 724 0.6× 279 0.5× 57 0.9× 39 0.7× 107 2.0× 29 910
Guo-Liang Chew United States 12 1.1k 1.0× 221 0.4× 88 1.4× 44 0.7× 48 0.9× 15 1.5k
Gal Haimovich Israel 12 1.3k 1.1× 146 0.3× 49 0.8× 61 1.0× 88 1.6× 18 1.4k
Abhinav Dhall United States 14 1.0k 0.9× 163 0.3× 61 1.0× 104 1.8× 36 0.7× 18 1.1k
Biswadip Das India 18 988 0.9× 115 0.2× 38 0.6× 102 1.7× 36 0.7× 40 1.2k
Carolina Eliscovich United States 12 931 0.8× 132 0.2× 40 0.7× 58 1.0× 28 0.5× 15 1.1k
Racha Chouaib France 12 1.4k 1.2× 105 0.2× 60 1.0× 74 1.3× 79 1.5× 13 1.6k
Nitish Mittal Switzerland 19 1.1k 0.9× 233 0.4× 45 0.7× 45 0.8× 37 0.7× 33 1.3k

Countries citing papers authored by Yongjun Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun Chu. A scholar is included among the top collaborators of Yongjun Chu 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 Yongjun Chu. Yongjun Chu 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.
Li, Hongfen, et al.. (2025). Genome-Wide Identification and Expression Analysis of the GRF and GIF Gene Families in Prunus avium. Agronomy. 15(1). 153–153. 2 indexed citations
2.
Li, Hongfen, et al.. (2025). The PavMYB.C2-UFGT module contributes to fruit coloration via modulating anthocyanin biosynthesis in sweet cherry. PLoS Genetics. 21(6). e1011761–e1011761. 3 indexed citations
3.
4.
Liu, Jing, Yongjun Chu, Carlos Arana, et al.. (2023). Consequences of depleting TNRC6, AGO, and DROSHA proteins on expression of microRNAs. RNA. 29(8). 1166–1184. 8 indexed citations
5.
Chu, Yongjun, et al.. (2021). Impact of scaffolding protein TNRC6 paralogs on gene expression and splicing. RNA. 27(9). 1004–1016. 10 indexed citations
6.
Chu, Yongjun, et al.. (2021). Argonaute binding within human nuclear RNA and its impact on alternative splicing. RNA. 27(9). 991–1003. 21 indexed citations
7.
Chu, Yongjun, Jiaxin Hu, Hanquan Liang, et al.. (2020). Analyzing pre-symptomatic tissue to gain insights into the molecular and mechanistic origins of late-onset degenerative trinucleotide repeat disease. Nucleic Acids Research. 48(12). 6740–6758. 29 indexed citations
8.
Chu, Yongjun, et al.. (2020). Argonaute binding within 3′-untranslated regions poorly predicts gene repression. Nucleic Acids Research. 48(13). 7439–7453. 35 indexed citations
9.
Chu, Yongjun, et al.. (2020). Acute Lymphoblastic Leukemia Detection Using Depthwise Separable Convolutional Neural Networks. SMU Scholar (Southern Methodist University). 3(2). 4. 3 indexed citations
10.
Hicks, Jessica, Liande Li, Masayuki Matsui, et al.. (2017). Human GW182 Paralogs Are the Central Organizers for RNA-Mediated Control of Transcription. Cell Reports. 20(7). 1543–1552. 37 indexed citations
11.
Chu, Yongjun, Timothy C. Wang, D. Dodd, et al.. (2015). Intramolecular circularization increases efficiency of RNA sequencing and enables CLIP-Seq of nuclear RNA from human cells. Nucleic Acids Research. 43(11). e75–e75. 12 indexed citations
12.
Xiao, Guanghua, et al.. (2015). Design and bioinformatics analysis of genome-wide CLIP experiments. Nucleic Acids Research. 43(11). 5263–5274. 57 indexed citations
13.
Gagnon, Keith T., Liande Li, Yongjun Chu, Bethany A. Janowski, & David R. Corey. (2014). RNAi Factors Are Present and Active in Human Cell Nuclei. Cell Reports. 6(1). 211–221. 300 indexed citations
14.
Matsui, Masayuki, Yongjun Chu, Huiying Zhang, et al.. (2013). Promoter RNA links transcriptional regulation of inflammatory pathway genes. Nucleic Acids Research. 41(22). 10086–10109. 179 indexed citations
15.
Chu, Yongjun & David R. Corey. (2012). RNA Sequencing: Platform Selection, Experimental Design, and Data Interpretation. Nucleic Acid Therapeutics. 22(4). 271–274. 145 indexed citations
16.
Chu, Yongjun, et al.. (2012). Transcriptional Silencing by Hairpin RNAs Complementary to a Gene Promoter. Nucleic Acid Therapeutics. 22(3). 147–151. 5 indexed citations
17.
Hu, Jiaxin, Jing Liu, Dongbo Yu, Yongjun Chu, & David R. Corey. (2012). Mechanism of allele-selective inhibition of huntingtin expression by duplex RNAs that target CAG repeats: function through the RNAi pathway. Nucleic Acids Research. 40(22). 11270–11280. 32 indexed citations
18.
Xuan, Yue, Jacob C. Schwartz, Yongjun Chu, et al.. (2010). Transcriptional regulation by small RNAs at sequences downstream from 3′ gene termini. Nature Chemical Biology. 6(8). 621–629. 93 indexed citations
19.
Chu, Yongjun, Yue Xuan, Scott T. Younger, Bethany A. Janowski, & David R. Corey. (2010). Involvement of argonaute proteins in gene silencing and activation by RNAs complementary to a non-coding transcript at the progesterone receptor promoter. Nucleic Acids Research. 38(21). 7736–7748. 141 indexed citations
20.
Chu, Yongjun, Paul Wollenzien, & Charles R. Cantor. (1983). Use of Psoralen Monoadducts to Compare The Structure of 16S rRNA in Active and Inactive 30S Ribosomal Subunits. Journal of Biomolecular Structure and Dynamics. 1(3). 647–656. 10 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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