Bifeng Wu

675 total citations
6 papers, 441 citations indexed

About

Bifeng Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Bifeng Wu has authored 6 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Bifeng Wu's work include Photoreceptor and optogenetics research (5 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). Bifeng Wu is often cited by papers focused on Photoreceptor and optogenetics research (5 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). Bifeng Wu collaborates with scholars based in China, Switzerland and United States. Bifeng Wu's co-authors include Liping Wang, Pengfei Wei, Lin Xu, Zhijian Zhang, Yongqiang Tang, Fuqiang Xu, Zheng Zhou, Lin Chen, Nan Liu and Juan Li and has published in prestigious journals such as Nature Communications, Biomaterials and Glia.

In The Last Decade

Bifeng Wu

6 papers receiving 438 citations

Peers

Bifeng Wu
Javier Díez‐García Spain
Yuqi Ren China
Naiyan Chen United States
Natalia Merkulyeva Russia
Annie Handler United States
Ruiqing Hou China
Min Jung Kim South Korea
Claire Xi Zhang China
Elisa Bellistri Italy
Guillaume Ducharme Canada
Javier Díez‐García Spain
Bifeng Wu
Citations per year, relative to Bifeng Wu Bifeng Wu (= 1×) peers Javier Díez‐García

Countries citing papers authored by Bifeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bifeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bifeng Wu

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

All Works

6 of 6 papers shown
1.
Gombkötő, Péter, Alexei L. Vyssotski, Chris Lewis, et al.. (2024). Months-long tracking of neuronal ensembles spanning multiple brain areas with Ultra-Flexible Tentacle Electrodes. Nature Communications. 15(1). 4822–4822. 10 indexed citations
2.
Zhou, Xinyi, Bifeng Wu, Wenhao Liu, et al.. (2021). Reduced Firing of Nucleus Accumbens Parvalbumin Interneurons Impairs Risk Avoidance in DISC1 Transgenic Mice. Neuroscience Bulletin. 37(9). 1325–1338. 8 indexed citations
3.
Wei, Pengfei, Nan Liu, Zhijian Zhang, et al.. (2015). Processing of visually evoked innate fear by a non-canonical thalamic pathway. Nature Communications. 6(1). 6756–6756. 251 indexed citations
4.
Yang, Fan, Yunhui Liu, Jie Tu, et al.. (2014). Activated astrocytes enhance the dopaminergic differentiation of stem cells and promote brain repair through bFGF. Nature Communications. 5(1). 5627–5627. 70 indexed citations
5.
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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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2026