Qiwen Hu

4.8k total citations
33 papers, 1.3k citations indexed

About

Qiwen Hu is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qiwen Hu has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Plant Science and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qiwen Hu's work include RNA Research and Splicing (5 papers), Single-cell and spatial transcriptomics (4 papers) and Ubiquitin and proteasome pathways (4 papers). Qiwen Hu is often cited by papers focused on RNA Research and Splicing (5 papers), Single-cell and spatial transcriptomics (4 papers) and Ubiquitin and proteasome pathways (4 papers). Qiwen Hu collaborates with scholars based in United States, China and United Kingdom. Qiwen Hu's co-authors include Xiancai Rao, Junmin Zhu, Hui Liu, Steffen Heber, Anna N. Stepanova, Casey S. Greene, Catharina Merchante, José M. Alonso, Javier Brumós and Brad M. Binder and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Qiwen Hu

33 papers receiving 1.2k citations

Peers

Qiwen Hu
Zheng Xu China
William J. Belden United States
Jing Lü China
Daniela Bezdan United States
Julianne H. Grose United States
Andreas Rechtsteiner United States
Qiwen Hu
Citations per year, relative to Qiwen Hu Qiwen Hu (= 1×) peers Eriko Kage‐Nakadai

Countries citing papers authored by Qiwen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Qiwen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiwen Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiwen Hu. A scholar is included among the top collaborators of Qiwen Hu 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 Qiwen Hu. Qiwen Hu 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.
Hu, Zhen, Weilong Shang, Juan Chen, et al.. (2025). Beta‐Lactam Antibiotics Promote Extracellular Vesicle Production of Staphylococcus aureus Through ROS‐Mediated Lipid Metabolic Reprogramming. Journal of Extracellular Vesicles. 14(5). e70077–e70077. 1 indexed citations
2.
Luo, Yong, Liping Li, Qiwen Hu, et al.. (2024). Iron overload increases the sensitivity of endometriosis stromal cells to ferroptosis via a PRC2-independent function of EZH2. The International Journal of Biochemistry & Cell Biology. 169. 106553–106553. 3 indexed citations
3.
Hu, Qiwen, et al.. (2024). Simultaneous multiplex genome loci editing of Halomonas bluephagenesis using an engineered CRISPR-guided base editor. Synthetic and Systems Biotechnology. 9(3). 586–593. 3 indexed citations
4.
Liu, He, Xuemei Wei, Mengyang Li, et al.. (2024). LysSYL: a broad-spectrum phage endolysin targeting Staphylococcus species and eradicating S. aureus biofilms. Microbial Cell Factories. 23(1). 89–89. 21 indexed citations
5.
Shang, Weilong, Zhen Hu, Mengyang Li, et al.. (2023). Optimizing a high‐sensitivity NanoLuc‐based bioluminescence system for in vivo evaluation of antimicrobial treatment. SHILAP Revista de lepidopterología. 2(4). 462–478. 3 indexed citations
6.
Hu, Qiwen, Casey S. Greene, & Elizabeth A. Heller. (2020). Specific histone modifications associate with alternative exon selection during mammalian development. Nucleic Acids Research. 48(9). 4709–4724. 17 indexed citations
7.
Taroni, Jaclyn, Peter C. Grayson, Qiwen Hu, et al.. (2019). MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Systems. 8(5). 380–394.e4. 74 indexed citations
8.
Stein-O’Brien, Genevieve, Brian S. Clark, Thomas D. Sherman, et al.. (2019). Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species. Cell Systems. 8(5). 395–411.e8. 81 indexed citations
9.
Lü, Yifei, Zhigang Huang, Yanlan Yu, et al.. (2017). Development and evaluation of an efficient heterologous gene knock-in reporter system in Lactococcus lactis. Microbial Cell Factories. 16(1). 154–154. 4 indexed citations
10.
Villarino, Gonzalo, Qiwen Hu, Silvia Manrique, et al.. (2016). Transcriptomic Signature of the SHATTERPROOF2 Expression Domain Reveals the Meristematic Nature of Arabidopsis Gynoecial Medial Domain. PLANT PHYSIOLOGY. 171(1). 42–61. 29 indexed citations
11.
Zeng, Ming, Laifeng Ren, Ken‐ichi Mizuno, et al.. (2016). CRL4Wdr70 regulates H2B monoubiquitination and facilitates Exo1-dependent resection. Nature Communications. 7(1). 11364–11364. 34 indexed citations
12.
Liu, Hui, Junmin Zhu, Qiwen Hu, & Xiancai Rao. (2016). Morganella morganii, a non-negligent opportunistic pathogen. International Journal of Infectious Diseases. 50. 10–17. 206 indexed citations
13.
Liu, Xiao, Hongda Li, Qingqing Liu, et al.. (2015). Role for Protein Kinase A in the Neurospora Circadian Clock by Regulating White Collar-Independent frequency Transcription through Phosphorylation of RCM-1. Molecular and Cellular Biology. 35(12). 2088–2102. 24 indexed citations
14.
Merchante, Catharina, Javier Brumós, Jeonga Yun, et al.. (2015). Gene-Specific Translation Regulation Mediated by the Hormone-Signaling Molecule EIN2. Cell. 163(3). 684–697. 259 indexed citations
15.
Hu, Qiwen, Catharina Merchante, Anna N. Stepanova, José M. Alonso, & Steffen Heber. (2015). Mining transcript features related to translation in Arabidopsis using LASSO and random forest. serie b. 1–6. 1 indexed citations
16.
Howard, Brian E., Qiwen Hu, Monica Borghi, et al.. (2013). High-Throughput RNA Sequencing of Pseudomonas-Infected Arabidopsis Reveals Hidden Transcriptome Complexity and Novel Splice Variants. PLoS ONE. 8(10). e74183–e74183. 83 indexed citations
17.
Wang, Ting-You, Fei He, Qiwen Hu, & Ziding Zhang. (2011). A predicted protein–protein interaction network of the filamentous fungus Neurospora crassa. Molecular BioSystems. 7(7). 2278–2285. 14 indexed citations
18.
Xu, Hui, Jiyong Wang, Qiwen Hu, et al.. (2010). DCAF26, an Adaptor Protein of Cul4-Based E3, Is Essential for DNA Methylation in Neurospora crassa. PLoS Genetics. 6(9). e1001132–e1001132. 38 indexed citations
19.
Wang, Jiyong, Qiwen Hu, Huijie Chen, et al.. (2010). Role of Individual Subunits of the Neurospora crassa CSN Complex in Regulation of Deneddylation and Stability of Cullin Proteins. PLoS Genetics. 6(12). e1001232–e1001232. 35 indexed citations
20.
Zhao, Yuanbiao, Ye Shen, Silu Yang, et al.. (2009). Ubiquitin Ligase Components Cullin4 and DDB1 Are Essential for DNA Methylation in Neurospora crassa. Journal of Biological Chemistry. 285(7). 4355–4365. 55 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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