Xiaolong Wu

110 total papers · 719 total citations
44 papers, 509 citations indexed

About

Xiaolong Wu is a scholar working on Neurology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaolong Wu has authored 44 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 11 papers in Epidemiology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaolong Wu's work include Facial Nerve Paralysis Treatment and Research (11 papers), Meningioma and schwannoma management (10 papers) and Neurofibromatosis and Schwannoma Cases (7 papers). Xiaolong Wu is often cited by papers focused on Facial Nerve Paralysis Treatment and Research (11 papers), Meningioma and schwannoma management (10 papers) and Neurofibromatosis and Schwannoma Cases (7 papers). Xiaolong Wu collaborates with scholars based in China, United States and United Kingdom. Xiaolong Wu's co-authors include D. Muzny, C. Thomas Caskey, Hongfa Xiang, Xin Liang, Xuyong Feng, Yi Sun, Jiazhao Wang, Qiujie Wu, Jiantao Liang and Mingchu Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Engineering Journal and Soil Biology and Biochemistry.

In The Last Decade

Xiaolong Wu

41 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
Xiaolong Wu	159	155	83	57	57	44	509
Si Liu	51 0.3×	138 0.9×	80 1.0×	36 0.6×	60 1.1×	27	604
Jingyu Wang	107 0.7×	169 1.1×	22 0.3×	26 0.5×	82 1.4×	50	574
Hailong Li	201 1.3×	196 1.3×	33 0.4×	60 1.1×	49 0.9×	24	547
Zhengrong Liu	117 0.7×	46 0.3×	73 0.9×	22 0.4×	34 0.6×	42	602
Dong-Jin Kim	89 0.6×	129 0.8×	123 1.5×	22 0.4×	41 0.7×	27	478
Hung-Chih Chen	52 0.3×	146 0.9×	23 0.3×	20 0.4×	20 0.4×	39	489
Shan Wu	26 0.2×	269 1.7×	32 0.4×	51 0.9×	28 0.5×	32	616
Xinyu Liu	51 0.3×	75 0.5×	65 0.8×	14 0.2×	111 1.9×	67	558
Soo‐Young Yoon	48 0.3×	74 0.5×	124 1.5×	8 0.1×	19 0.3×	51	551
Yuanqi Zhang	20 0.1×	198 1.3×	101 1.2×	36 0.6×	59 1.0×	59	568

Countries citing papers authored by Xiaolong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Wu

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