Linliang Wu

20 total papers · 508 total citations
19 papers, 383 citations indexed

About

Linliang Wu is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Linliang Wu has authored 19 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Biomaterials and 12 papers in Biomedical Engineering. Recurrent topics in Linliang Wu's work include Nerve injury and regeneration (12 papers), Electrospun Nanofibers in Biomedical Applications (9 papers) and Graphene and Nanomaterials Applications (6 papers). Linliang Wu is often cited by papers focused on Nerve injury and regeneration (12 papers), Electrospun Nanofibers in Biomedical Applications (9 papers) and Graphene and Nanomaterials Applications (6 papers). Linliang Wu collaborates with scholars based in China, United States and South Korea. Linliang Wu's co-authors include Guicai Li, Tiantian Zheng, Qi Han, Yumin Yang, Jiawei Xu, Luzhong Zhang, Liling Zhang, Xiaosong Gu, Yifeng Lei and Longjian Xue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Engineering Journal and Science Advances.

In The Last Decade

Linliang Wu

19 papers receiving 377 citations

Author Peers

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

Author						Papers	Cites
Linliang Wu	195	176	164	68	39	19	383
Dena Shahriari	220 1.1×	191 1.1×	167 1.0×	103 1.5×	44 1.1×	15	426
Changmei Niu	195 1.0×	167 0.9×	178 1.1×	59 0.9×	44 1.1×	11	371
Jiawei Xu	214 1.1×	84 0.5×	134 0.8×	70 1.0×	44 1.1×	21	396
Chun‐Yi Yang	148 0.8×	118 0.7×	144 0.9×	77 1.1×	98 2.5×	12	383
Anthony R. D’Amato	139 0.7×	119 0.7×	206 1.3×	68 1.0×	68 1.7×	19	392
Devina Jaiswal	242 1.2×	84 0.5×	93 0.6×	76 1.1×	45 1.2×	23	439
Can Liu	137 0.7×	179 1.0×	97 0.6×	74 1.1×	50 1.3×	14	427
Jongdarm Yi	256 1.3×	133 0.8×	104 0.6×	43 0.6×	24 0.6×	10	359
William A. Lackington	205 1.1×	196 1.1×	136 0.8×	80 1.2×	68 1.7×	14	387
Connor W. McCarthy	197 1.0×	162 0.9×	273 1.7×	125 1.8×	32 0.8×	8	435

Countries citing papers authored by Linliang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Linliang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linliang Wu

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