Qin Ru

1.5k total citations · 1 hit paper
65 papers, 1.1k citations indexed

About

Qin Ru is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Qin Ru has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 18 papers in Physiology. Recurrent topics in Qin Ru's work include Neurotransmitter Receptor Influence on Behavior (12 papers), Pain Mechanisms and Treatments (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Qin Ru is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (12 papers), Pain Mechanisms and Treatments (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Qin Ru collaborates with scholars based in China, United States and Australia. Qin Ru's co-authors include Lin Chen, Zesong Li, Qi Xiong, Xiang Tian, Yuxiang Wu, Baomiao Ma, Kai Yue, Xiang Tian, Rihui Wu and Wenqing Xie and has published in prestigious journals such as Journal of Clinical Investigation, Neuron and Brain.

In The Last Decade

Qin Ru

62 papers receiving 1.1k citations

Hit Papers

Fighting age-related orthopedic diseases: focusing on fer... 2023 2026 2024 2025 2023 25 50 75 100
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. Fighting age-related orthopedic diseases: focusing on ferroptosis
    2023 114 citations Qin Ru, Yusheng Li et al. Bone Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qin Ru China 21 534 220 160 149 100 65 1.1k
Liping Xu China 20 670 1.3× 145 0.7× 231 1.4× 118 0.8× 64 0.6× 53 1.3k
Joanna Listos Poland 17 379 0.7× 387 1.8× 170 1.1× 96 0.6× 54 0.5× 49 1.1k
Yeong‐Min Yoo South Korea 23 620 1.2× 116 0.5× 345 2.2× 144 1.0× 80 0.8× 88 1.7k
Li Zou China 16 423 0.8× 168 0.8× 147 0.9× 70 0.5× 56 0.6× 32 1.1k
Shu-Kuei Huang Taiwan 21 597 1.1× 241 1.1× 110 0.7× 160 1.1× 35 0.3× 50 1.1k
Senthil Selvaraj United States 20 617 1.2× 327 1.5× 164 1.0× 61 0.4× 47 0.5× 31 1.5k
Long He China 26 907 1.7× 122 0.6× 247 1.5× 265 1.8× 112 1.1× 82 1.9k
Y Liu China 21 497 0.9× 152 0.7× 159 1.0× 190 1.3× 42 0.4× 75 1.3k

Countries citing papers authored by Qin Ru

Since Specialization
Citations

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

Fields of papers citing papers by Qin Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Ru

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Ru. A scholar is included among the top collaborators of Qin Ru 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 Ru. Qin Ru 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.
Wu, Jiale, et al.. (2025). Study on the comorbid mechanisms of sarcopenia and late-life depression. Behavioural Brain Research. 485. 115538–115538. 1 indexed citations
2.
Sui, He, Qin Ru, Lin Chen, Guodong Xu, & Yuxiang Wu. (2024). Advances in animal models of Parkinson's disease. Brain Research Bulletin. 215. 111024–111024. 13 indexed citations
3.
Yang, Luning, et al.. (2024). SIRT1 signaling pathways in sarcopenia: Novel mechanisms and potential therapeutic targets. Biomedicine & Pharmacotherapy. 177. 116917–116917. 21 indexed citations
4.
Xiao, Wenfeng, Wenqing Xie, Qin Ru, et al.. (2023). Insights into the Notch signaling pathway in degenerative musculoskeletal disorders: Mechanisms and perspectives. Biomedicine & Pharmacotherapy. 169. 115884–115884. 9 indexed citations
5.
Ru, Qin, et al.. (2023). The potential therapeutic roles of Rho GTPases in substance dependence. Frontiers in Molecular Neuroscience. 16. 1125277–1125277. 9 indexed citations
6.
Li, Lingyong, et al.. (2023). Tiam1 coordinates synaptic structural and functional plasticity underpinning the pathophysiology of neuropathic pain. Neuron. 111(13). 2038–2050.e6. 20 indexed citations
7.
Ru, Qin, et al.. (2023). Characterization of synaptic structural plasticity in mouse spinal dorsal horn neurons. STAR Protocols. 4(4). 102752–102752. 1 indexed citations
8.
Ru, Qin, Yusheng Li, Wenqing Xie, et al.. (2023). Fighting age-related orthopedic diseases: focusing on ferroptosis. Bone Research. 11(1). 12–12. 114 indexed citations breakdown →
9.
Ru, Qin, Yungang Lu, Juan P. Cata, et al.. (2022). TIAM1-mediated synaptic plasticity underlies comorbid depression–like and ketamine antidepressant–like actions in chronic pain. Journal of Clinical Investigation. 132(24). 45 indexed citations
10.
Duman, Joseph G., et al.. (2021). Rac-maninoff and Rho-vel: The symphony of Rho-GTPase signaling at excitatory synapses. Small GTPases. 13(1). 14–47. 20 indexed citations
11.
Ru, Qin, et al.. (2021). Krill Oil Alleviated Methamphetamine-Induced Memory Impairment via the MAPK Signaling Pathway and Dopaminergic Synapse Pathway. Frontiers in Pharmacology. 12. 756822–756822. 9 indexed citations
12.
Tian, Xiang, et al.. (2020). Catalpol Attenuates Hepatic Steatosis by Regulating Lipid Metabolism via AMP‐Activated Protein Kinase Activation. BioMed Research International. 2020(1). 6708061–6708061. 32 indexed citations
13.
14.
Li, Can, et al.. (2019). Effects of Jieduyihao on Methamphetamine-induced Behavioral Sensitization in Mice. 47(1). 57. 1 indexed citations
15.
Ru, Qin, Qi Xiong, Mei Zhou, et al.. (2018). Withdrawal from chronic treatment with methamphetamine induces anxiety and depression-like behavior in mice. Psychiatry Research. 271. 476–483. 40 indexed citations
16.
Xiong, Qi, Qin Ru, Xiang Tian, et al.. (2018). Krill oil protects PC12 cells against methamphetamine-induced neurotoxicity by inhibiting apoptotic response and oxidative stress. Nutrition Research. 58. 84–94. 27 indexed citations
17.
Ru, Qin, Qi Xiong, Lin Chen, et al.. (2017). Lipopolysaccharide accelerates fine particulate matter-induced cell apoptosis in human lung bronchial epithelial cells. International Journal of Occupational Medicine and Environmental Health. 31(2). 173–183. 12 indexed citations
18.
Ru, Qin, Xiang Tian, Lin Chen, et al.. (2014). Voltage-gated K+ channel blocker quinidine inhibits proliferation and induces apoptosis by regulating expression of microRNAs in human glioma U87-MG cells. International Journal of Oncology. 46(2). 833–840. 31 indexed citations
19.
Ru, Qin, et al.. (2013). Voltage-gated and ATP-sensitive K+ channels are associated with cell proliferation and tumorigenesis of human glioma. Oncology Reports. 31(2). 842–848. 49 indexed citations
20.
Yue, Kai, Baomiao Ma, Qin Ru, et al.. (2012). The dopamine receptor antagonist levo-tetrahydropalmatine attenuates heroin self-administration and heroin-induced reinstatement in rats. Pharmacology Biochemistry and Behavior. 102(1). 1–5. 36 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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