Mingpo Yang

1.4k total citations · 1 hit paper
18 papers, 955 citations indexed

About

Mingpo Yang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Mingpo Yang has authored 18 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Mingpo Yang's work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (5 papers). Mingpo Yang is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (5 papers). Mingpo Yang collaborates with scholars based in China, Canada and Italy. Mingpo Yang's co-authors include Yousheng Shu, Cuiping Tian, Tun Li, Han Hou, Wenqin Hu, Yonghong Wang, Man Jiang, Jie Zhu, Mingyu Ye and Luping Yin and has published in prestigious journals such as Nature Communications, Nature Neuroscience and PLoS ONE.

In The Last Decade

Mingpo Yang

18 papers receiving 945 citations

Hit Papers

Distinct contributions of Nav1.6 and Nav1.2 in action pot... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingpo Yang China 13 656 400 390 92 89 18 955
Cuiping Tian China 9 632 1.0× 314 0.8× 418 1.1× 42 0.5× 97 1.1× 11 860
Jakob Wolfart Germany 13 841 1.3× 379 0.9× 549 1.4× 53 0.6× 77 0.9× 15 1.1k
Nikolaus Maier Germany 21 1.1k 1.7× 896 2.2× 358 0.9× 70 0.8× 57 0.6× 35 1.5k
Marco Leite United Kingdom 14 357 0.5× 399 1.0× 229 0.6× 49 0.5× 66 0.7× 24 957
Henner Koch Germany 20 333 0.5× 273 0.7× 318 0.8× 129 1.4× 89 1.0× 50 1.0k
Jeremy R. Edgerton United States 15 703 1.1× 248 0.6× 594 1.5× 43 0.5× 26 0.3× 25 1.0k
Atul Maheshwari United States 15 348 0.5× 275 0.7× 222 0.6× 35 0.4× 257 2.9× 40 873
Sonia Gasparini United States 16 1.2k 1.9× 798 2.0× 520 1.3× 66 0.7× 48 0.5× 25 1.4k
Emilie Campanac France 13 818 1.2× 515 1.3× 545 1.4× 84 0.9× 21 0.2× 14 1.4k
Nancy M. Lorenzon United States 16 627 1.0× 249 0.6× 509 1.3× 40 0.4× 47 0.5× 21 917

Countries citing papers authored by Mingpo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingpo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingpo Yang

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

All Works

18 of 18 papers shown
1.
Chang, Le, Yanli Ran, Mingpo Yang, et al.. (2024). Spike desensitisation as a mechanism for high-contrast selectivity in retinal ganglion cells. Frontiers in Cellular Neuroscience. 17. 1337768–1337768. 2 indexed citations
2.
Wen, Bin, et al.. (2023). High-dimensional topographic organization of visual features in the primate temporal lobe. Nature Communications. 14(1). 5931–5931. 2 indexed citations
3.
Zhao, Xiaolong, Huajun Xu, Chuan Dong, et al.. (2021). The Impact of Glycolipid Metabolic Disorders on Severity Stage-Specific Variation of Cardiac Autonomic Function in Obstructive Sleep Apnea: A Data-Driven Clinical Study. Nature and Science of Sleep. Volume 13. 1347–1362. 5 indexed citations
4.
Kan, Janis Ying Ying, et al.. (2021). Transforming absolute value to categorical choice in primate superior colliculus during value-based decision making. Nature Communications. 12(1). 3410–3410. 7 indexed citations
5.
Li, Xinyi, Fan Wang, Huajun Xu, et al.. (2019). Interrelationships among common predictors of cardiovascular diseases in patients of OSA: A large-scale observational study. Nutrition Metabolism and Cardiovascular Diseases. 30(1). 23–32. 10 indexed citations
6.
Ye, Mingyu, Jun Yang, Cuiping Tian, et al.. (2018). Differential roles of NaV1.2 and NaV1.6 in regulating neuronal excitability at febrile temperature and distinct contributions to febrile seizures. Scientific Reports. 8(1). 753–753. 36 indexed citations
7.
Yang, Mingpo, et al.. (2017). Time compression of visual perception around microsaccades. Journal of Neurophysiology. 118(1). 416–424. 19 indexed citations
8.
Guan, Jian, Hongliang Yi, Jianyin Zou, et al.. (2016). Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study. Thorax. 71(4). 347–355. 43 indexed citations
9.
Wang, Bo, Luping Yin, Xiaolong Zou, et al.. (2015). A Subtype of Inhibitory Interneuron with Intrinsic Persistent Activity in Human and Monkey Neocortex. Cell Reports. 10(9). 1450–1458. 25 indexed citations
10.
Zhao, Yuchen, et al.. (2015). Microsaccade direction reflects the economic value of potential saccade goals and predicts saccade choice. Journal of Neurophysiology. 115(2). 741–751. 15 indexed citations
11.
Li, Tun, Cuiping Tian, Paolo Scalmani, et al.. (2014). Action Potential Initiation in Neocortical Inhibitory Interneurons. PLoS Biology. 12(9). e1001944–e1001944. 77 indexed citations
12.
Yang, Mingpo, et al.. (2014). Regulation of Action Potential Waveforms by Axonal GABAA Receptors in Cortical Pyramidal Neurons. PLoS ONE. 9(6). e100968–e100968. 18 indexed citations
13.
Yang, Jing, Mingyu Ye, Cuiping Tian, et al.. (2013). Dopaminergic modulation of axonal potassium channels and action potential waveform in pyramidal neurons of prefrontal cortex. The Journal of Physiology. 591(13). 3233–3251. 31 indexed citations
14.
Jiang, Man, Mingpo Yang, Luping Yin, Xiao Hui Zhang, & Yousheng Shu. (2013). Developmental Reduction of Asynchronous GABA Release from Neocortical Fast-Spiking Neurons. Cerebral Cortex. 25(1). 258–270. 15 indexed citations
15.
Jiang, Man, Jie Zhu, Yaping Liu, et al.. (2012). Enhancement of Asynchronous Release from Fast-Spiking Interneuron in Human and Rat Epileptic Neocortex. PLoS Biology. 10(5). e1001324–e1001324. 70 indexed citations
16.
Zhu, Jie, Man Jiang, Mingpo Yang, Han Hou, & Yousheng Shu. (2011). Membrane Potential-Dependent Modulation of Recurrent Inhibition in Rat Neocortex. PLoS Biology. 9(3). e1001032–e1001032. 30 indexed citations
17.
Hu, Wenqin, Cuiping Tian, Tun Li, et al.. (2009). Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation. Nature Neuroscience. 12(8). 996–1002. 529 indexed citations breakdown →
18.
Hu, Wenqin, Cuiping Tian, Tun Li, et al.. (2009). Hu, W. et al. Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation. Nature Neurosci. 12, 996-1002. 21 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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