Yun Wang

9.6k total citations · 1 hit paper
244 papers, 6.5k citations indexed

About

Yun Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yun Wang has authored 244 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 83 papers in Cellular and Molecular Neuroscience and 36 papers in Physiology. Recurrent topics in Yun Wang's work include Neuroscience and Neuropharmacology Research (65 papers), Ion channel regulation and function (36 papers) and Receptor Mechanisms and Signaling (17 papers). Yun Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (65 papers), Ion channel regulation and function (36 papers) and Receptor Mechanisms and Signaling (17 papers). Yun Wang collaborates with scholars based in China, United States and United Kingdom. Yun Wang's co-authors include Maria Toledo‐Rodriguez, Henry Markram, Junyi Luo, Caizhi Wu, Gilad Silberberg, Anirudh Gupta, Longzhen Cheng, Ji‐Sheng Han, Martyn Goulding and Olivier Britz and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yun Wang

232 papers receiving 6.4k citations

Hit Papers

Identification of Spinal Circuits Transmitting and Gating... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Wang China 42 2.6k 2.2k 1.3k 849 565 244 6.5k
Wei‐Yi Ong Singapore 41 2.7k 1.0× 1.6k 0.7× 1.4k 1.0× 584 0.7× 751 1.3× 167 6.8k
Yu‐Qiang Ding China 49 4.0k 1.5× 2.8k 1.3× 1.2k 0.9× 788 0.9× 511 0.9× 262 8.7k
Jie Lu China 39 2.7k 1.1× 2.0k 0.9× 1.1k 0.8× 414 0.5× 622 1.1× 133 6.8k
Ming Zhao China 51 3.5k 1.3× 2.9k 1.3× 2.0k 1.5× 1.3k 1.6× 987 1.7× 282 9.4k
Christian Schultz Germany 50 2.6k 1.0× 1.7k 0.8× 1.6k 1.2× 527 0.6× 651 1.2× 149 6.8k
Yoshifumi Watanabe Japan 51 2.3k 0.9× 2.1k 1.0× 914 0.7× 1.1k 1.3× 488 0.9× 195 8.9k
Shelley Allen United Kingdom 40 2.0k 0.8× 2.3k 1.0× 1.7k 1.3× 474 0.6× 503 0.9× 92 5.5k
Marco Fiore Italy 47 1.3k 0.5× 1.5k 0.7× 898 0.7× 461 0.5× 588 1.0× 257 6.3k
Li Zhang China 46 2.7k 1.0× 968 0.4× 1.1k 0.8× 1.3k 1.6× 978 1.7× 333 7.7k
Rafael Roesler Brazil 46 2.7k 1.0× 2.8k 1.2× 639 0.5× 1.5k 1.8× 827 1.5× 241 7.4k

Countries citing papers authored by Yun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wang. A scholar is included among the top collaborators of Yun Wang 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 Yun Wang. Yun Wang 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.
Wang, Yun, et al.. (2025). Uterine cervical adenomyoma: Case report and literature review. Medicine. 104(27). e43090–e43090.
2.
Wang, Yun, et al.. (2024). Neural Network Mechanisms Underlying General Anesthesia: Cortical and Subcortical Nuclei. Neuroscience Bulletin. 40(12). 1995–2011. 3 indexed citations
3.
Li, Chang, Yi Cai, Yongmin Chen, et al.. (2024). ABCG2 shields against epilepsy, relieves oxidative stress and apoptosis via inhibiting the ISGylation of STAT1 and mTOR. Redox Biology. 75. 103262–103262. 7 indexed citations
4.
He, Xiaolei, Ping Hao, Yun Wang, et al.. (2023). Swertia bimaculata moderated liver damage in mice by regulating intestine microbiota. Ecotoxicology and Environmental Safety. 263. 115223–115223. 9 indexed citations
5.
Josiah, Sunday Solomon, Jing Zhou, Yanhui Zhang, et al.. (2023). The role of SLC12A family of cation-chloride cotransporters and drug discovery methodologies. Journal of Pharmaceutical Analysis. 13(12). 1471–1495. 12 indexed citations
6.
Zhang, Qi, Yun Wang, Su-Wan Hu, et al.. (2022). The Slack Channel Regulates Anxiety-Like Behaviors via Basolateral Amygdala Glutamatergic Projections to Ventral Hippocampus. Journal of Neuroscience. 42(14). 3049–3064. 9 indexed citations
7.
Zhang, Liyan, et al.. (2021). Effectiveness of palliative care simulation in newly hired oncology nurses’ training. Asia-Pacific Journal of Oncology Nursing. 9(3). 167–173. 8 indexed citations
8.
Wang, Yun, Qian Liang, Kefeng Lei, et al.. (2021). Targeting MEX3A attenuates metastasis of breast cancer via β-catenin signaling pathway inhibition. Cancer Letters. 521. 50–63. 14 indexed citations
9.
Shi, Wei, et al.. (2019). Perineuronal nets protect long-term memory by limiting activity-dependent inhibition from parvalbumin interneurons. Proceedings of the National Academy of Sciences. 116(52). 27063–27073. 83 indexed citations
10.
Zhou, Xiaohong, et al.. (2019). Dexmedetomidine prevents desflurane‐induced motor neuron death through NF‐KappaB pathway. Cell Biochemistry and Function. 38(1). 21–27. 6 indexed citations
12.
13.
Zang, Kai, Yuwen Zhang, Jie Hu, & Yun Wang. (2018). The Large Conductance Calcium- and Voltage-activated Potassium Channel (BK) and Epilepsy. CNS & Neurological Disorders - Drug Targets. 17(4). 248–254. 21 indexed citations
14.
Wang, Yun, et al.. (2014). Analysis on the lateral resolution of optical scanning holography system based on random phase encoding using restricted pupils. Journal of Modern Optics. 61(9). 721–727. 1 indexed citations
15.
Wang, Yun, Danhua Zhao, Daojun Hong, Zhaoxia Wang, & Yun Yuan. (2011). Hot spot mutations in electron transfer flavoprotein dehydrogenase gene of riboflavin responsive lipid storage myopathy in 20 Chinese families. Chin J Neurol. 44(5). 309–313. 2 indexed citations
16.
Ma, Zhihong, Quan Chen, Yun Wang, et al.. (2010). Ultrastructure of skin lesions and mutations in the FERMT1 gene in a patient with Kindler syndrome. Chinese Journal of Dermatology. 43(10). 677–679. 2 indexed citations
17.
Corlew, Rebekah, Yun Wang, Haben Ghermazien, Alev Erişir, & Benjamin D. Philpot. (2007). Developmental Switch in the Contribution of Presynaptic and Postsynaptic NMDA Receptors to Long-Term Depression. Journal of Neuroscience. 27(37). 9835–9845. 149 indexed citations
18.
Wang, Yun, K Kanai, Yukio Satoh, Bing Luo, & Takeshi Sairenji. (2007). Carboxyl-Terminal Sequence Variation of Latent Membrane Protein 1 Gene in Epstein-Barr Virus-Associated Gastric Carcinomas from Eastern China and Japan. Intervirology. 50(3). 229–236. 14 indexed citations
19.
Wang, Yun. (2006). The effect of alendronate on bone biochemical indicator of Type 2 DM postmenopausal women with lower BMD. 1 indexed citations
20.
Zang, Kai, Yuwen Zhang, Jie Hu, & Yun Wang. (1969). The large conductance calcium- and voltage-activated potassium channel (BK) and epilepsy: a short review. CNS & Neurological Disorders - Drug Targets. 17. 1–1. 3 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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