Qin Yu

2.9k total citations · 1 hit paper
35 papers, 2.3k citations indexed

About

Qin Yu is a scholar working on Molecular Biology, Epidemiology and Virology. According to data from OpenAlex, Qin Yu has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Epidemiology and 9 papers in Virology. Recurrent topics in Qin Yu's work include HIV Research and Treatment (9 papers), Cytomegalovirus and herpesvirus research (9 papers) and HIV/AIDS drug development and treatment (7 papers). Qin Yu is often cited by papers focused on HIV Research and Treatment (9 papers), Cytomegalovirus and herpesvirus research (9 papers) and HIV/AIDS drug development and treatment (7 papers). Qin Yu collaborates with scholars based in United States, China and Austria. Qin Yu's co-authors include Nathaniel R. Landau, Renate König, Ivan Stamenkovic, Satish K. Pillai, Douglas Richman, Mary F. Kearney, Sarah Palmer, John M. Coffin, Bärbel Schröfelbauer and Samantha G. Zeitlin and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Qin Yu

32 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Single-strand specificity of APOBEC3G accounts for minus-strand deamination of the HIV genome

2004 500 citations Qin Yu, Renate König et al. Nature Structural & Molecular Biology profile →

Peers

Countries citing papers authored by Qin Yu

Since Specialization

Citations

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

Fields of papers citing papers by Qin Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Yu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Whole-Genome Methylation Sequencing Analysis and Functional Verification of LIM-Homeobox Family Genes in Cervical Cancer 2025 ·International Journal of General Medicine ·Rong Yu, Qin Yu, Jie Shi, (unknown), Z. G. Deng, (unknown), (unknown)	0
2	Effect of LHX2 gene methylation level and its function on radiotherapy of cervical cancer 2021 ·Translational Cancer Research ·Rong Yu, Lihe Zhang, Qin Yu, (unknown), Hao Yang, Yadi Wang	4
3	LATS kinase–mediated CTCF phosphorylation and selective loss of genomic binding 2020 ·Science Advances ·Huacheng Luo, Qin Yu, (unknown), Ming Tang, (unknown), (unknown), Tsan Sam Xiao, Lizi Wu, Ming Tan, Yijun Ruan, Jörg Bungert, Jianrong Lu	29
4	iTRAQ‐Based Quantitative Proteomics Approach Identifies Novel Diagnostic Biomarkers That Were Essential for Glutamine Metabolism and Redox Homeostasis for Gastric Cancer 2018 ·PROTEOMICS - CLINICAL APPLICATIONS ·(unknown), Chenghua Zhang, (unknown), (unknown), Yu Xiong, Yujiang Chen, Zhi Wang, Linfeng Wang, (unknown), (unknown), Rui Zhu, (unknown), Qin Yu, Li Wang	25
5	Ubiquitination and degradation of GBPs by a Shigella effector to suppress host defence 2017 ·Nature ·Peng Li, Wei Jiang, Qin Yu, Wang Liu, Ping‐Kun Zhou, Jun Li, Junjie Xu, Bo Xu, Fengchao Wang, Feng Shao	165
6	A Novel Rat Model of Nonalcoholic Fatty Liver Disease Constructed Through CRISPR/Cas-Based Hydrodynamic Injection 2017 ·Molecular Biotechnology ·Qin Yu, Ruizhi Tan, (unknown), Xia Zhong, Youqiang Wang, Jing Zhou, Li Wang	14
7	Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics 2017 ·Data in Brief ·Zhen Jiang, (unknown), (unknown), Hui Chen, Qin Yu, (unknown), (unknown)	7
8	Identification of candidate biomarkers that involved in the epigenetic transcriptional regulation for detection gastric cancer by iTRAQ based quantitative proteomic analysis 2017 ·Clinica Chimica Acta ·Zhen Jiang, Xingwang Sun, Qiong Zhang, (unknown), Qin Yu, Ting Huang, (unknown), (unknown), Xiaohan Mei, Linyu Wang, (unknown), Linyan He, Junhua Fang, (unknown), Li Wang	7
9	Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer 2016 ·Clinica Chimica Acta ·Zhen Jiang, (unknown), (unknown), Qin Yu, (unknown), Li Wang	25
10	Octopamine Neuromodulation Regulates Gr32a-Linked Aggression and Courtship Pathways in Drosophila Males 2014 ·PLoS Genetics ·(unknown), Maria P. Fernandez, Qin Yu, (unknown), Adelaine Kwun-Wai Leung, Michael P. Kavanaugh, Edward A. Kravitz, Sarah J. Certel	74
11	Merlin, a “Magic” Linker Between the Extracellular Cues and Intracellular Signaling Pathways that Regulate Cell Motility, Proliferation, and Survival 2010 ·Current Protein and Peptide Science ·Ivan Stamenkovic, Qin Yu	122
12	APOBEC3A Is a Potent Inhibitor of Adeno-Associated Virus and Retrotransposons 2006 ·Current Biology ·Hui Chen, Caroline E. Lilley, Qin Yu, (unknown), Jody Chou, Iñigo Narvaiza, Nathaniel R. Landau, Matthew D. Weitzman	321
13	A testing method for melatonin of honeybee. 2005 ·Kunchong zhishi ·Qin Yu, (unknown)	1
14	Several crucial events in sporulation of Bacillus subtilis 2005 ·Shengming kexue ·Qin Yu	1
15	APOBEC3B and APOBEC3C Are Potent Inhibitors of Simian Immunodeficiency Virus Replication 2004 ·Journal of Biological Chemistry ·Qin Yu, (unknown), Renate König, Roberto Mariani, Derya Unutmaz, Nathaniel R. Landau	238
16	Single-strand specificity of APOBEC3G accounts for minus-strand deamination of the HIV genome breakdown → 2004 ·Nature Structural & Molecular Biology ·Qin Yu, Renate König, Satish K. Pillai, (unknown), Mary F. Kearney, Sarah Palmer, Douglas Richman, John M. Coffin, Nathaniel R. Landau	500
17	New insights into the role of Vif in HIV-1 replication. 2004 ·PubMed ·Bärbel Schröfelbauer, Qin Yu, Nathaniel R. Landau	19
18	Complementarity between 3′ Terminal Nucleotides of tRNA and Primer Binding Site Is a Major Determinant for Selection of the tRNA Primer Used for Initiation of HIV-1 Reverse Transcription 1999 ·Virology ·Qin Yu, Casey D. Morrow	10
19	Role of the C terminus Gag protein in human immunodeficiency virus type 1 virion assembly and maturation 1995 ·Journal of General Virology ·Xiao Yu, Zene Matsuda, Qin Yu, (unknown), Max Essex	46
20	Evidence from CD spectra that d(purine)-r(pyrimidine) and r(purine)-d(pyrimidine) hybrids are in different structural classes 1994 ·Nucleic Acids Research ·Su‐Hwi Hung, Qin Yu, Donald M. Gray, Robert L. Ratliff	62

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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