Jiayu Wen

8.2k total citations · 2 hit papers
83 papers, 4.1k citations indexed

About

Jiayu Wen is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Jiayu Wen has authored 83 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 19 papers in Cancer Research and 13 papers in Immunology. Recurrent topics in Jiayu Wen's work include RNA Research and Splicing (19 papers), RNA modifications and cancer (16 papers) and MicroRNA in disease regulation (15 papers). Jiayu Wen is often cited by papers focused on RNA Research and Splicing (19 papers), RNA modifications and cancer (16 papers) and MicroRNA in disease regulation (15 papers). Jiayu Wen collaborates with scholars based in United States, Australia and China. Jiayu Wen's co-authors include Jonathan D. Powell, Min Hee Oh, Im‐Hong Sun, Chirag H. Patel, Anders Krogh, Anders H. Lund, Richard L. Blosser, Ada Tam, Lisa B. Frankel and Judson M. Englert and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Jiayu Wen

78 papers receiving 4.0k citations

Hit Papers

Glutamine blockade induce... 2019 2026 2021 2023 2019 2020 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
Jiayu Wen United States 31 2.2k 1.6k 1.2k 642 338 83 4.1k
Sang‐Gu Hwang South Korea 38 2.4k 1.1× 826 0.5× 329 0.3× 913 1.4× 326 1.0× 123 3.9k
Katsuji Yoshioka Japan 32 3.5k 1.6× 706 0.4× 532 0.4× 948 1.5× 229 0.7× 98 4.8k
Dangsheng Li China 32 3.4k 1.5× 1.4k 0.9× 537 0.4× 367 0.6× 244 0.7× 52 4.4k
Han Han China 26 3.0k 1.3× 848 0.5× 572 0.5× 546 0.9× 223 0.7× 105 4.1k
Kiyotsugu Yoshida Japan 40 4.0k 1.8× 859 0.5× 580 0.5× 1.5k 2.4× 290 0.9× 108 5.4k
Noriaki Shimizu Japan 33 2.7k 1.2× 928 0.6× 352 0.3× 396 0.6× 188 0.6× 85 3.8k
Jinke Cheng China 44 4.8k 2.2× 1.6k 1.0× 1.4k 1.1× 1.5k 2.3× 612 1.8× 129 6.5k
Mi‐Ae Yoo South Korea 28 1.9k 0.8× 631 0.4× 618 0.5× 413 0.6× 375 1.1× 73 3.2k
Issam Ben‐Sahra United States 26 3.2k 1.4× 1.2k 0.7× 991 0.8× 438 0.7× 603 1.8× 48 4.8k

Countries citing papers authored by Jiayu Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jiayu Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayu Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayu Wen. A scholar is included among the top collaborators of Jiayu Wen 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 Jiayu Wen. Jiayu Wen 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
3.
Jiang, Xuan‐Zhao, Jiayu Wen, Mary L. Nelson, et al.. (2025). Nonchromatin regulatory functions of the histone variant H2A.B in SWI/SNF genomic deposition. Science Advances. 11(30). eadx1568–eadx1568. 1 indexed citations
4.
Schümann, Ulrike, Riemke Aggio‐Bruce, Michele C. Madigan, et al.. (2025). Spatial transcriptomics reveals regionally altered gene expression that drives retinal degeneration. Communications Biology. 8(1). 629–629. 2 indexed citations
5.
Wang, Shenqiu, S. Parsa, Man Jiang, et al.. (2024). SETD1B mutations confer apoptosis resistance and BCL2 independence in B cell lymphoma. The Journal of Experimental Medicine. 221(10). 5 indexed citations
6.
Wei, Wei, Tingting Zhang, Jiayu Wen, et al.. (2023). Network pharmacology reveals that Berberine may function against Alzheimer’s disease via the AKT signaling pathway. Frontiers in Neuroscience. 17. 1059496–1059496. 16 indexed citations
7.
Arwood, Matthew L., Im‐Hong Sun, Chirag H. Patel, et al.. (2023). Serendipitous Discovery of T Cell–Produced KLK1b22 as a Regulator of Systemic Metabolism. ImmunoHorizons. 7(6). 493–507. 1 indexed citations
8.
Lee, Seungjae, David Jee, Acong Yang, et al.. (2023). Promiscuous splicing-derived hairpins are dominant substrates of tailing-mediated defense of miRNA biogenesis in mammals. Cell Reports. 42(2). 112111–112111. 5 indexed citations
9.
Sengupta, Srona, Liang Zhao, Matthew L. Arwood, et al.. (2022). Persistent CAD activity in memory CD8 + T cells supports rRNA synthesis and ribosomal biogenesis required at rechallenge. Science Immunology. 7(71). eabh4271–eabh4271. 13 indexed citations
10.
Patel, Chirag H., Emily Heikamp, Wei Xu, et al.. (2022). Cutting Edge: mTORC2 Regulates CD8+ Effector and Memory T Cell Differentiation through Serum and Glucocorticoid Kinase 1. The Journal of Immunology. 209(12). 2287–2291. 4 indexed citations
11.
Zhang, Huiqin, Xuefan Jiang, Lina Ma, et al.. (2022). Role of Aβ in Alzheimer’s-related synaptic dysfunction. Frontiers in Cell and Developmental Biology. 10. 964075–964075. 54 indexed citations
12.
Jones, Jennifer, et al.. (2021). PRDM16 regulates a temporal transcriptional program to promote progression of cortical neural progenitors. Development. 148(6). 12 indexed citations
13.
Lee, Seungjae, Wei Lü, Raeann Goering, et al.. (2021). ELAV/Hu RNA binding proteins determine multiple programs of neural alternative splicing. PLoS Genetics. 17(4). e1009439–e1009439. 34 indexed citations
14.
Leone, Robert D., Liang Zhao, Judson M. Englert, et al.. (2019). Glutamine blockade induces divergent metabolic programs to overcome tumor immune evasion. Science. 366(6468). 1013–1021. 813 indexed citations breakdown →
15.
Sun, Im‐Hong, Min Hee Oh, Liang Zhao, et al.. (2018). mTOR Complex 1 Signaling Regulates the Generation and Function of Central and Effector Foxp3+ Regulatory T Cells. The Journal of Immunology. 201(2). 481–492. 104 indexed citations
16.
Jee, David, Jr-Shiuan Yang, Sun‐Mi Park, et al.. (2018). Dual Strategies for Argonaute2-Mediated Biogenesis of Erythroid miRNAs Underlie Conserved Requirements for Slicing in Mammals. Molecular Cell. 69(2). 265–278.e6. 50 indexed citations
17.
Wen, Jiayu, Jaaved Mohammed, Diane Bortolamiol-Bécet, et al.. (2014). Diversity of miRNAs, siRNAs, and piRNAs across 25 Drosophila cell lines. Genome Research. 24(7). 1236–1250. 55 indexed citations
18.
Wen, Jiayu, Hong Duan, Fernando Bejarano, et al.. (2014). Adaptive Regulation of Testis Gene Expression and Control of Male Fertility by the Drosophila Hairpin RNA Pathway. Molecular Cell. 57(1). 165–178. 38 indexed citations
19.
Parker, Brian J., Ida Moltke, Adam Roth, et al.. (2011). New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes. Genome Research. 21(11). 1929–1943. 81 indexed citations
20.
Weaver, Virginia M., Byung-Kook Lee, Andrew C. Todd, et al.. (2005). Associations of Patella Lead and Other Lead Biomarkers With Renal Function in Lead Workers. Journal of Occupational and Environmental Medicine. 47(3). 235–243. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026