Xiaoyun Wu

43 total papers · 512 total citations
21 papers, 403 citations indexed

About

Xiaoyun Wu is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiaoyun Wu has authored 21 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiaoyun Wu's work include Birth, Development, and Health (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Acute Ischemic Stroke Management (2 papers). Xiaoyun Wu is often cited by papers focused on Birth, Development, and Health (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Acute Ischemic Stroke Management (2 papers). Xiaoyun Wu collaborates with scholars based in China, United States and Switzerland. Xiaoyun Wu's co-authors include Yuxi Yu, J. Fang, Jiangteng Lu, Yu Fu, Z. Josh Huang, Graham Knott, Graziella Di Cristo, Yuanshao Lin, Yanyan Lin and Chengcheng Lin and has published in prestigious journals such as Journal of Neuroscience, Endocrinology and Nanoscale.

In The Last Decade

Xiaoyun Wu

21 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Xiaoyun Wu	88	75	59	54	51	21	403
Estíbaliz González de San Román	88 1.0×	161 2.1×	58 1.0×	19 0.4×	34 0.7×	35	445
Wenhao Zhu	65 0.7×	105 1.4×	5 0.1×	15 0.3×	34 0.7×	32	385
Tina Bugge Pedersen	108 1.2×	128 1.7×	12 0.2×	5 0.1×	22 0.4×	14	393
Jieyi Yang	34 0.4×	95 1.3×	13 0.2×	134 2.5×	6 0.1×	29	391
David Gény	73 0.8×	152 2.0×	7 0.1×	6 0.1×	17 0.3×	15	373
Marc Haseldonckx	144 1.6×	67 0.9×	5 0.1×	4 0.1×	44 0.9×	17	352
Zhengrong Xia	104 1.2×	137 1.8×	17 0.3×	2 0.0×	12 0.2×	24	410
Karin Hellman	85 1.0×	101 1.3×	14 0.2×	4 0.1×	14 0.3×	17	399
M. J. Cano‐Cebrián	120 1.4×	100 1.3×	8 0.1×	4 0.1×	36 0.7×	21	360
Armen Khatchadourian	18 0.2×	180 2.4×	30 0.5×	3 0.1×	15 0.3×	8	441

Countries citing papers authored by Xiaoyun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Wu

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