Mingzheng Wu

1.5k total citations
33 papers, 472 citations indexed

About

Mingzheng Wu is a scholar working on Cellular and Molecular Neuroscience, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Mingzheng Wu has authored 33 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 8 papers in Sociology and Political Science and 7 papers in Social Psychology. Recurrent topics in Mingzheng Wu's work include Photoreceptor and optogenetics research (6 papers), Social and Intergroup Psychology (5 papers) and Neuroscience and Neural Engineering (5 papers). Mingzheng Wu is often cited by papers focused on Photoreceptor and optogenetics research (6 papers), Social and Intergroup Psychology (5 papers) and Neuroscience and Neural Engineering (5 papers). Mingzheng Wu collaborates with scholars based in China, United States and Australia. Mingzheng Wu's co-authors include Yevgenia Kozorovitskiy, Vasin Dumrongprechachan, Pingchuan Ma, Huajian Cai, Xueting Deng, Xue‐Jun Song, Yonggang Huang, John A. Rogers, Xiaomin Song and Lei Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Neuron.

In The Last Decade

Mingzheng Wu

29 papers receiving 461 citations

Peers

Mingzheng Wu
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 172
  • Cognitive Neuroscience 79
  • Physiology 74
  • Molecular Biology 69
  • Biomedical Engineering 68
Replace Li Duan with:
Li Duan China
Yanping Shao China
Paolo Tornese Italy
Iris Gispan Israel
Seung Won Lee South Korea
Angelo Nacca United States
Amanda R. Arulpragasam United States
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Li Duan China View profile →
Citations per field, relative to Mingzheng Wu
Mingzheng Wu · 1×
Citations per year, relative to Mingzheng Wu
Mingzheng Wu · 1×

Countries citing papers authored by Mingzheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingzheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzheng Wu. A scholar is included among the top collaborators of Mingzheng Wu 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 Mingzheng Wu. Mingzheng Wu 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
# Work Indexed citations
1 3
2 2
3 0
4 1
5 0
6 14
7 3
8 0
9 14
10 0
11 2
12 41
13 23
14 2
15 16
16 59
17 46
18 8
19 22
20 10

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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