Lupeng Wang

1.6k total citations
31 papers, 953 citations indexed

About

Lupeng Wang is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lupeng Wang has authored 31 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Molecular Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lupeng Wang's work include Neural dynamics and brain function (11 papers), Retinal Development and Disorders (6 papers) and Visual perception and processing mechanisms (5 papers). Lupeng Wang is often cited by papers focused on Neural dynamics and brain function (11 papers), Retinal Development and Disorders (6 papers) and Visual perception and processing mechanisms (5 papers). Lupeng Wang collaborates with scholars based in United States, China and Bulgaria. Lupeng Wang's co-authors include Richard J. Krauzlis, Jianhua Cang, Krsna V. Rangarajan, Xiaorong Liu, Rashmi Sarnaik, Anil Bollimunta, Fabrice Arcizet, Xiaoyan Shi, Tianxiao Wang and David A. Feldheim and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Lupeng Wang

30 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lupeng Wang United States 18 469 355 299 106 91 31 953
Yujiao Jennifer Sun United States 12 483 1.0× 307 0.9× 521 1.7× 86 0.8× 10 0.1× 16 901
Vidar M. Steen Norway 12 96 0.2× 358 1.0× 165 0.6× 25 0.2× 26 0.3× 15 767
Claas A. Meyer Switzerland 13 77 0.2× 690 1.9× 561 1.9× 96 0.9× 26 0.3× 19 1.2k
Jeffrey S. Thinschmidt United States 22 201 0.4× 503 1.4× 366 1.2× 19 0.2× 16 0.2× 34 1.1k
Caterina P. Profaci United States 8 253 0.5× 316 0.9× 333 1.1× 32 0.3× 15 0.2× 9 1.2k
Motohisa Kato Japan 19 280 0.6× 217 0.6× 165 0.6× 230 2.2× 14 0.2× 28 970
Tomomi Aida Japan 23 315 0.7× 793 2.2× 611 2.0× 12 0.1× 44 0.5× 41 1.5k
Lauri Louhivuori Finland 16 231 0.5× 320 0.9× 231 0.8× 140 1.3× 5 0.1× 29 777
José‐Antonio Arias‐Montaño Mexico 20 113 0.2× 824 2.3× 501 1.7× 326 3.1× 29 0.3× 80 1.4k

Countries citing papers authored by Lupeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lupeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lupeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lupeng Wang. A scholar is included among the top collaborators of Lupeng 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 Lupeng Wang. Lupeng 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.
Tian, Yuan, Qiang Xu, Zhiruo Zhang, et al.. (2025). CRISPR-Cas9 Cytidine-Base-Editor Mediated Continuous In Vivo Evolution in Aspergillus nidulans. ACS Synthetic Biology. 14(2). 621–628. 3 indexed citations
3.
Dong, Jie, Lupeng Wang, Lixin Sun, et al.. (2025). Molecularly distinct striatonigral neuron subtypes differentially regulate locomotion. Nature Communications. 16(1). 2710–2710.
4.
Wang, Lupeng, Yanlin Tao, Wei Shen, et al.. (2023). Bear bile powder alleviates Parkinson's disease-like behavior in mice by inhibiting astrocyte-mediated neuroinflammation. Chinese Journal of Natural Medicines. 21(9). 710–720. 12 indexed citations
5.
Han, Xinyan, Jinfeng Yuan, Lupeng Wang, et al.. (2023). Taurochenodeoxycholic acid reduces astrocytic neuroinflammation and alleviates experimental autoimmune encephalomyelitis in mice. Immunobiology. 228(3). 152388–152388. 23 indexed citations
6.
Wang, Lupeng, et al.. (2022). Effects of Different Bud Thinning Methods on Nutritional Quality and Antioxidant Activities of Fruiting Bodies of Pleurotus eryngii. Frontiers in Plant Science. 13. 917010–917010. 4 indexed citations
7.
Wang, Lupeng, James P. Herman, & Richard J. Krauzlis. (2022). Neuronal modulation in the mouse superior colliculus during covert visual selective attention. Scientific Reports. 12(1). 2482–2482. 12 indexed citations
8.
Wang, Lupeng, et al.. (2022). Stimulus-driven visual attention in mice. Journal of Vision. 22(1). 11–11. 9 indexed citations
9.
Zhu, Han, Yanlin Tao, Lupeng Wang, et al.. (2022). Natural bear bile powder suppresses neuroinflammation in lipopolysaccharide-treated mice via regulating TGR5/AKT/NF-κB signaling pathway. Journal of Ethnopharmacology. 289. 115063–115063. 22 indexed citations
10.
Liu, Ya, Lupeng Wang, Xiuli Zhang, et al.. (2021). A novel cystathionine γ-lyase inhibitor, I194496, inhibits the growth and metastasis of human TNBC via downregulating multiple signaling pathways. Scientific Reports. 11(1). 8963–8963. 15 indexed citations
11.
Wang, Lupeng, et al.. (2020). A Causal Role for Mouse Superior Colliculus in Visual Perceptual Decision-Making. Journal of Neuroscience. 40(19). 3768–3782. 37 indexed citations
12.
Wang, Lupeng & Richard J. Krauzlis. (2020). Involvement of Striatal Direct Pathway in Visual Spatial Attention in Mice. Current Biology. 30(23). 4739–4744.e5. 12 indexed citations
13.
Wang, Lupeng, Krsna V. Rangarajan, Charles R. Gerfen, & Richard J. Krauzlis. (2018). Activation of Striatal Neurons Causes a Perceptual Decision Bias during Visual Change Detection in Mice. Neuron. 97(6). 1369–1381.e5. 41 indexed citations
14.
Wang, Lupeng & Richard J. Krauzlis. (2018). Visual Selective Attention in Mice. Current Biology. 28(5). 676–685.e4. 55 indexed citations
15.
Krauzlis, Richard J. & Lupeng Wang. (2018). Visual selective attention in mice. Journal of Vision. 18(10). 1218–1218. 1 indexed citations
16.
Wang, Lupeng, Mingna Liu, Mark A. Segraves, & Jianhua Cang. (2015). Visual Experience Is Required for the Development of Eye Movement Maps in the Mouse Superior Colliculus. Journal of Neuroscience. 35(35). 12281–12286. 42 indexed citations
17.
Liu, Mingna, Lupeng Wang, & Jianhua Cang. (2014). Different roles of axon guidance cues and patterned spontaneous activity in establishing receptive fields in the mouse superior colliculus. Frontiers in Neural Circuits. 8. 23–23. 10 indexed citations
18.
Wang, Lupeng, Rashmi Sarnaik, Krsna V. Rangarajan, Xiaorong Liu, & Jianhua Cang. (2010). Visual Receptive Field Properties of Neurons in the Superficial Superior Colliculus of the Mouse. Journal of Neuroscience. 30(49). 16573–16584. 172 indexed citations
19.
Wang, Lupeng, Krsna V. Rangarajan, Courtney Lawhn-Heath, et al.. (2009). Direction-Specific Disruption of Subcortical Visual Behavior and Receptive Fields in Mice Lacking the β2 Subunit of Nicotinic Acetylcholine Receptor. Journal of Neuroscience. 29(41). 12909–12918. 45 indexed citations
20.
Cang, Jianhua, Lupeng Wang, Michael P. Stryker, & David A. Feldheim. (2008). Roles of Ephrin-As and Structured Activity in the Development of Functional Maps in the Superior Colliculus. Journal of Neuroscience. 28(43). 11015–11023. 83 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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