Yi-Ting Wu

8 total papers · 1.3k total citations
6 papers, 325 citations indexed

About

Yi-Ting Wu is a scholar working on Cellular and Molecular Neuroscience, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Yi-Ting Wu has authored 6 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 2 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Yi-Ting Wu's work include Nerve injury and regeneration (3 papers), Mesenchymal stem cell research (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Yi-Ting Wu is often cited by papers focused on Nerve injury and regeneration (3 papers), Mesenchymal stem cell research (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Yi-Ting Wu collaborates with scholars based in Taiwan. Yi-Ting Wu's co-authors include Jeffrey C.S. Wu, Shun‐Fen Tzeng, Chung‐Shi Yang, Yu‐Chao Wang, Leu‐Wei Lo, Hsin-I Lin, Cheng-Hung Huang, Chia‐Ching Wu, Yuan‐Yu Hsueh and Tzu-Chieh Huang and has published in prestigious journals such as Biomaterials, Scientific Reports and Applied Thermal Engineering.

In The Last Decade

Yi-Ting Wu

6 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Yi-Ting Wu	106	88	82	50	46	6	325
Karrer M. Alghazali	24 0.2×	21 0.2×	76 0.9×	7 0.1×	92 2.0×	18	336
Fu Zhai Cui	11 0.1×	92 1.0×	72 0.9×	11 0.2×	30 0.7×	17	362
Zehua Gao	97 0.9×	7 0.1×	61 0.7×	5 0.1×	67 1.5×	15	337
Joya Zeitouny	49 0.5×	15 0.2×	29 0.4×	8 0.2×	35 0.8×	7	348
Jiusi Guo	22 0.2×	7 0.1×	119 1.5×	7 0.1×	102 2.2×	14	352
Chenchao Wang	23 0.2×	9 0.1×	22 0.3×	11 0.2×	50 1.1×	17	309
Shibo Zhu	9 0.1×	48 0.5×	11 0.1×	79 1.6×	120 2.6×	17	314
Zhenyong Wang	18 0.2×	7 0.1×	32 0.4×	6 0.1×	46 1.0×	12	342
Nithyadevi Duraisamy	13 0.1×	54 0.6×	49 0.6×	36 0.7×	62 1.3×	11	364
Mohammed Ubaid Hamza	33 0.3×	9 0.1×	47 0.6×	3 0.1×	99 2.2×	7	307

Countries citing papers authored by Yi-Ting Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yi-Ting Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi-Ting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Ting Wu. A scholar is included among the top collaborators of Yi-Ting 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 Yi-Ting Wu. Yi-Ting Wu 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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