Qi Yang

3.9k total citations
122 papers, 2.4k citations indexed

About

Qi Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Qi Yang has authored 122 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 35 papers in Cellular and Molecular Neuroscience and 20 papers in Physiology. Recurrent topics in Qi Yang's work include Neuroscience and Neuropharmacology Research (18 papers), Pain Mechanisms and Treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Qi Yang is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Pain Mechanisms and Treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Qi Yang collaborates with scholars based in China, United States and Germany. Qi Yang's co-authors include Ming Zhao, Yumei Wu, Le Yang, Yanyan Guo, Shui‐bing Liu, Thomas H. Lanthorn, Katerina V. Savelieva, Indrani Rajan, Bin Feng and Emily B. Cullinan and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Qi Yang

117 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Yang China 29 831 533 413 247 214 122 2.4k
Reza Rahimian Iran 34 779 0.9× 589 1.1× 335 0.8× 540 2.2× 295 1.4× 87 2.7k
Yoon Hee Chung South Korea 31 1.3k 1.5× 918 1.7× 562 1.4× 364 1.5× 176 0.8× 153 3.5k
Mohammad Shabani Iran 32 552 0.7× 806 1.5× 523 1.3× 311 1.3× 198 0.9× 221 3.2k
Kyoung‐Shim Kim South Korea 27 816 1.0× 583 1.1× 351 0.8× 163 0.7× 216 1.0× 73 2.2k
Concetta Crisafulli Italy 34 1.2k 1.4× 388 0.7× 449 1.1× 251 1.0× 288 1.3× 140 3.5k
Mitsutoshi Yuzurihara Japan 29 627 0.8× 505 0.9× 335 0.8× 146 0.6× 239 1.1× 74 2.6k
Elisa Mitiko Kawamoto Brazil 29 922 1.1× 418 0.8× 661 1.6× 465 1.9× 248 1.2× 67 2.6k
Ana Marı́a Genaro Argentina 30 787 0.9× 365 0.7× 678 1.6× 201 0.8× 350 1.6× 96 2.8k
Yuji Kiuchi Japan 32 1.1k 1.3× 647 1.2× 896 2.2× 177 0.7× 95 0.4× 175 3.2k
Yeo Sung Yoon South Korea 29 753 0.9× 526 1.0× 716 1.7× 526 2.1× 139 0.6× 173 2.8k

Countries citing papers authored by Qi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Yang. A scholar is included among the top collaborators of Qi Yang 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 Qi Yang. Qi Yang 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.
2.
Yang, Qi, Xueying Zhang, Zhuang Chen, et al.. (2025). Analysis of Prognostic Risk Factors in Patients with Complete Revascularization After Thrombectomy for Acute Anterior Circulation Large Vessel Occlusion. World Neurosurgery. 197. 123850–123850. 1 indexed citations
3.
Wang, Yao, Xinyue Lv, Shucai Wang, et al.. (2025). A MeA Tac1 neural circuit mediates anxiety-like behaviors in mice. EMBO Reports. 26(17). 4340–4363.
4.
Wang, Yao, Xinyue Lv, Qi Yang, et al.. (2025). A medial habenula neural circuit controlling anxiety-like behaviors in response to acute stress. Molecular Psychiatry. 30(11). 5245–5254.
5.
Yang, Qi & Fei Yu. (2024). Viewpoints about the Application of Nanoprobe Technology in Orthopedic Diseases Based on Its Functions in Disease Diagnosis and Treatment. Nano Biomedicine and Engineering. 17(1). 56–73. 4 indexed citations
6.
Li, Xin, Hang Shi, H. Sang, et al.. (2024). HOXD10 attenuates renal fibrosis by inhibiting NOX4-induced ferroptosis. Cell Death and Disease. 15(6). 398–398. 16 indexed citations
7.
Chen, Yue, Qin Yan, Ying Gao, et al.. (2024). Linderane Attenuates Complete Freund’s Adjuvant-Induced Pain and Anxiety in Mice by Restoring Anterior Cingulate Cortex Microglia M2 Polarization through Activating Cannabinoid 2 Receptor. ACS Pharmacology & Translational Science. 7(3). 797–808. 4 indexed citations
8.
9.
Yang, Qi, et al.. (2023). Mechanisms of and Potential Medications for Oxidative Stress in Ovarian Granulosa Cells: A Review. International Journal of Molecular Sciences. 24(11). 9205–9205. 65 indexed citations
10.
Xu, Wenwen, Feng Tang, Qin Zhou, et al.. (2023). The bacterial effector SidN/Lpg1083 promotes cell death by targeting Lamin-B2. Journal of Molecular Cell Biology. 15(5). 2 indexed citations
11.
Zhang, Hanlin, Jiedong Zhou, Qi Yang, et al.. (2022). Ononin alleviates endoplasmic reticulum stress in doxorubicin-induced cardiotoxicity by activating SIRT3. Toxicology and Applied Pharmacology. 452. 116179–116179. 30 indexed citations
12.
Yang, Qi, et al.. (2019). Multi-scale periodic variation of NDVI in July and its response to climatic factors in the Taibai Mountain area. 资源科学. 41(11). 2131–2143. 2 indexed citations
13.
Weickert, Martin O., Gregory Kaltsas, Dieter Hörsch, et al.. (2018). Efficacy and Safety of Telotristat Ethyl in Patients With Carcinoid Syndrome Inadequately Controlled by Somatostatin Analogs : Analysis of the Completed TELESTAR Extension Period. Pancreas. 47(3). 341–342. 2 indexed citations
14.
Zhang, Kun, Yujiao Li, Yanyan Guo, et al.. (2017). Elevated progranulin contributes to synaptic and learning deficit due to loss of fragile X mental retardation protein. Brain. 140(12). 3215–3232. 21 indexed citations
15.
Anthony, Lowell, Dieter Hoersch, Matthew H. Kulke, et al.. (2016). Assessing Treatment Benefit of Telotristat Etiprate in Patients with Carcinoid Syndrome : Patient Exit Interviews. Pancreas. 45(3). 470–470. 1 indexed citations
16.
Ma, Lei, Jun Zhang, Kun Huang, et al.. (2013). The Migration of Neural Progenitor Cell Mediated by SDF‐1 is NF‐κB/HIF‐1α Dependent upon Hypoxia. CNS Neuroscience & Therapeutics. 19(3). 145–153. 15 indexed citations
17.
Xu, Zhaohui, Qi Yang, Shui‐bing Liu, et al.. (2012). Deficits in LTP Induction by 5-HT2A Receptor Antagonist in a Mouse Model for Fragile X Syndrome. PLoS ONE. 7(10). e48741–e48741. 13 indexed citations
18.
Yang, Le, Xiaoli Chen, Kun Zhang, et al.. (2012). Neuroprotective Effects of Flax Lignan Against NMDA‐Induced Neurotoxicity In Vitro. CNS Neuroscience & Therapeutics. 18(11). 927–933. 17 indexed citations
19.
Guo, Yanyan, Shuibing Liu, Guangbin Cui, et al.. (2011). Acute stress induces down‐regulation of large‐conductance Ca2+‐activated potassium channels in the lateral amygdala. The Journal of Physiology. 590(4). 875–886. 48 indexed citations
20.
Hu, Jing, Zhe Wang, Yanyan Guo, et al.. (2009). A Role of Periaqueductal Grey NR2B-Containing NMDA Receptor in Mediating Persistent Inflammatory Pain. Molecular Pain. 5. 71–71. 48 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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