Fei Ye

57 total papers · 1.8k total citations
42 papers, 1.3k citations indexed

About

Fei Ye is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fei Ye has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Cell Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fei Ye's work include Hippo pathway signaling and YAP/TAZ (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Cellular transport and secretion (5 papers). Fei Ye is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Cellular transport and secretion (5 papers). Fei Ye collaborates with scholars based in China, Hong Kong and United States. Fei Ye's co-authors include Mingjie Zhang, Zhiyi Wei, Menglong Zeng, Cong Yu, Jia Xu, Qing Lü, Chao Wang, Xudong Chen, Javier Díaz-Alonso and Roger A. Nicoll and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Fei Ye

40 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fei Ye 858 363 360 87 81 42 1.3k
Daisuke Tsuboi 727 0.8× 421 1.2× 325 0.9× 119 1.4× 119 1.5× 29 1.2k
Toru Matsuura 1.2k 1.3× 378 1.0× 241 0.7× 158 1.8× 91 1.1× 48 1.8k
Izhak Michaelevski 977 1.1× 426 1.2× 284 0.8× 108 1.2× 45 0.6× 41 1.5k
Jae‐Won Yang 1.2k 1.3× 551 1.5× 228 0.6× 138 1.6× 98 1.2× 65 1.8k
Shalini Srivastava 670 0.8× 541 1.5× 251 0.7× 48 0.6× 56 0.7× 40 1.2k
Srikanth Dakoji 899 1.0× 596 1.6× 441 1.2× 93 1.1× 86 1.1× 16 1.4k
Mamoru Matsubara 1.1k 1.2× 327 0.9× 366 1.0× 258 3.0× 91 1.1× 43 1.7k
Tim J. Craig 942 1.1× 334 0.9× 389 1.1× 153 1.8× 170 2.1× 41 1.4k
Yanshan Fang 876 1.0× 303 0.8× 165 0.5× 93 1.1× 111 1.4× 34 1.4k
E. Miyamoto 1.1k 1.3× 766 2.1× 329 0.9× 237 2.7× 74 0.9× 45 1.7k

Countries citing papers authored by Fei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ye

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

All Works

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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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