Yunyun Wang

532 total citations
11 papers, 417 citations indexed

About

Yunyun Wang is a scholar working on Cognitive Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Yunyun Wang has authored 11 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Yunyun Wang's work include Visual perception and processing mechanisms (4 papers), Neural dynamics and brain function (2 papers) and Ophthalmology and Visual Impairment Studies (2 papers). Yunyun Wang is often cited by papers focused on Visual perception and processing mechanisms (4 papers), Neural dynamics and brain function (2 papers) and Ophthalmology and Visual Impairment Studies (2 papers). Yunyun Wang collaborates with scholars based in China. Yunyun Wang's co-authors include Shan Lu, Guoqing Zhao, Xiaodi Fan, Meng Lu, Kai Li, Longyun Li, Xuyang Li, Zhenbo Su, Ping Liu and Xiaowei Zheng and has published in prestigious journals such as Vision Research, Molecular Immunology and Frontiers in Aging Neuroscience.

In The Last Decade

Yunyun Wang

11 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yunyun Wang China	8	129	88	62	58	55	11	417
Qing Ye China	15	183 1.4×	78 0.9×	52 0.8×	17 0.3×	49 0.9×	35	516
Xuanhong Zhang China	8	327 2.5×	85 1.0×	55 0.9×	55 0.9×	38 0.7×	11	581
Le Yang China	12	113 0.9×	42 0.5×	46 0.7×	13 0.2×	29 0.5×	19	468
Mei‐Mei Gao China	16	319 2.5×	31 0.4×	70 1.1×	78 1.3×	48 0.9×	33	644
Hui Quan South Korea	14	219 1.7×	71 0.8×	113 1.8×	11 0.2×	68 1.2×	18	494
Guang‐Tao Yan China	13	104 0.8×	34 0.4×	102 1.6×	29 0.5×	31 0.6×	43	495
Michael Morici Australia	12	152 1.2×	32 0.4×	147 2.4×	20 0.3×	43 0.8×	21	463
Yuanshan Han China	14	115 0.9×	32 0.4×	46 0.7×	17 0.3×	29 0.5×	28	354

Countries citing papers authored by Yunyun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yunyun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunyun Wang

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

All Works

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11 of 11 papers shown

Chen, Yi, Qingze Zeng, Yunyun Wang, et al.. (2022). Characterizing Differences in Functional Connectivity Between Posterior Cortical Atrophy and Semantic Dementia by Seed-Based Approach. Frontiers in Aging Neuroscience. 14. 850977–850977. 5 indexed citations

Liu, Ping, et al.. (2022). Neuroinflammation as a Potential Therapeutic Target in Alzheimer’s Disease. Clinical Interventions in Aging. Volume 17. 665–674. 57 indexed citations

Zheng, Xiaowei, Guanghua Xu, Yunyun Wang, et al.. (2020). Comparison of the performance of six stimulus paradigms in visual acuity assessment based on steady-state visual evoked potentials. Documenta Ophthalmologica. 141(3). 237–251. 15 indexed citations

Fan, Xiaodi, et al.. (2020). MiRNA‐429 alleviates ketamine‐induced neurotoxicity through targeting BAG5. Environmental Toxicology. 36(4). 620–627. 12 indexed citations

Zheng, Xiaowei, Guanghua Xu, Yunyun Wang, et al.. (2020). Quantitative and objective diagnosis of color vision deficiencies based on steady-state visual evoked potentials. International Ophthalmology. 41(2). 587–598. 5 indexed citations

Zheng, Xiaowei, Guanghua Xu, Yunyun Wang, et al.. (2019). Objective and quantitative assessment of visual acuity and contrast sensitivity based on steady-state motion visual evoked potentials using concentric-ring paradigm. Documenta Ophthalmologica. 139(2). 123–136. 11 indexed citations

Chen, Yi, Ping Liu, Yunyun Wang, & Guoping Peng. (2019). Neural Mechanisms of Visual Dysfunction in Posterior Cortical Atrophy. Frontiers in Neurology. 10. 670–670. 3 indexed citations

Zheng, Xiaowei, Yunyun Wang, Chengcheng Han, et al.. (2019). Objective and quantitative assessment of interocular suppression in strabismic amblyopia based on steady-state motion visual evoked potentials. Vision Research. 164. 44–52. 22 indexed citations

Lu, Shan, et al.. (2017). Mus musculus-microRNA-449a ameliorates neuropathic pain by decreasing the level of KCNMA1 and TRPA1, and increasing the level of TPTE. Molecular Medicine Reports. 16(1). 353–360. 21 indexed citations

10.

Lu, Meng, Longyun Li, Shan Lu, et al.. (2017). The protective effect of dexmedetomidine on LPS-induced acute lung injury through the HMGB1-mediated TLR4/NF-κB and PI3K/Akt/mTOR pathways. Molecular Immunology. 94. 7–17. 255 indexed citations

11.

Wang, Yunyun, Yong Liu, Li Guo, et al.. (2014). Ephrin type-A receptor 2 regulates sensitivity to paclitaxel in nasopharyngeal carcinoma via the phosphoinositide 3-kinase/Akt signalling pathway. Molecular Medicine Reports. 11(2). 924–930. 11 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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