Wing-Yu Fu

13 total papers · 880 total citations
10 papers, 735 citations indexed

About

Wing-Yu Fu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Wing-Yu Fu has authored 10 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Wing-Yu Fu's work include Signaling Pathways in Disease (3 papers), Nerve injury and regeneration (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Wing-Yu Fu is often cited by papers focused on Signaling Pathways in Disease (3 papers), Nerve injury and regeneration (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Wing-Yu Fu collaborates with scholars based in Hong Kong, China and United States. Wing-Yu Fu's co-authors include Nancy Y. Ip, Amy K.Y. Fu, Fanny C.F. Ip, Kwok‐On Lai, Jerry H. Wang, Fanny C.F. Ip, Karl Wah Keung Tsim, Yang Shen, Shuo Gu and Xuhui Huang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Wing-Yu Fu

9 papers receiving 722 citations

Author Peers

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

Author						Papers	Cites
Wing-Yu Fu	396	345	183	124	117	10	735
Naoko Inamura	548 1.4×	423 1.2×	91 0.5×	133 1.1×	99 0.8×	19	903
Sarah Huntwork‐Rodriguez	446 1.1×	349 1.0×	199 1.1×	113 0.9×	108 0.9×	16	747
Fanny C.F. Ip	478 1.2×	337 1.0×	151 0.8×	112 0.9×	112 1.0×	17	804
Paola Camera	439 1.1×	298 0.9×	460 2.5×	89 0.7×	101 0.9×	11	869
Shoshona S. Le	614 1.6×	205 0.6×	97 0.5×	68 0.5×	82 0.7×	11	897
Shing Fai Chan	496 1.3×	366 1.1×	109 0.6×	73 0.6×	79 0.7×	13	777
Taehwan Shin	521 1.3×	108 0.3×	83 0.5×	84 0.7×	203 1.7×	7	706
Chhavy Tep	409 1.0×	358 1.0×	114 0.6×	129 1.0×	140 1.2×	14	778
Benjamin Abrams	587 1.5×	250 0.7×	163 0.9×	130 1.0×	142 1.2×	17	903
Pei-Yi Lin	454 1.1×	227 0.7×	105 0.6×	58 0.5×	69 0.6×	21	892

Countries citing papers authored by Wing-Yu Fu

Since Specialization

Citations

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

Fields of papers citing papers by Wing-Yu Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing-Yu Fu. 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 Wing-Yu Fu. The network helps show where Wing-Yu Fu may publish in the future.

Co-authorship network of co-authors of Wing-Yu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Wing-Yu Fu. A scholar is included among the top collaborators of Wing-Yu Fu 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 Wing-Yu Fu. Wing-Yu Fu 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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