Xiaoyu Dai

33 total papers · 527 total citations
26 papers, 371 citations indexed

About

Xiaoyu Dai is a scholar working on Surgery, Rheumatology and Internal Medicine. According to data from OpenAlex, Xiaoyu Dai has authored 26 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Rheumatology and 7 papers in Internal Medicine. Recurrent topics in Xiaoyu Dai's work include Venous Thromboembolism Diagnosis and Management (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Musculoskeletal synovial abnormalities and treatments (6 papers). Xiaoyu Dai is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Musculoskeletal synovial abnormalities and treatments (6 papers). Xiaoyu Dai collaborates with scholars based in China. Xiaoyu Dai's co-authors include Zhihui Huang, Naidong Zhang, Jinbo Liu, Huan Liu, Yunshan Wang, Dong Li, Lei Qi, Zhaoming Wang, Feng Jin and Kai Ding and has published in prestigious journals such as Frontiers in Microbiology, BioMed Research International and Biomedicine & Pharmacotherapy.

In The Last Decade

Xiaoyu Dai

25 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Xiaoyu Dai	157	103	96	75	53	26	371
Yicun Wang	104 0.7×	166 1.6×	33 0.3×	62 0.8×	23 0.4×	35	422
Nicholas A. Mignemi	110 0.7×	76 0.7×	108 1.1×	33 0.4×	57 1.1×	18	379
Ewa Strauss	113 0.7×	104 1.0×	58 0.6×	52 0.7×	141 2.7×	41	437
Faize Yüksel	90 0.6×	79 0.8×	26 0.3×	24 0.3×	53 1.0×	31	433
T Kaku	155 1.0×	79 0.8×	29 0.3×	28 0.4×	67 1.3×	25	389
Liang Wang	54 0.3×	107 1.0×	87 0.9×	38 0.5×	52 1.0×	16	340
Ming Wang	207 1.3×	93 0.9×	60 0.6×	60 0.8×	62 1.2×	40	434
Pengfei Zan	189 1.2×	94 0.9×	24 0.3×	32 0.4×	24 0.5×	26	354
Altay Burak Dalan	39 0.2×	153 1.5×	54 0.6×	98 1.3×	54 1.0×	33	379
Toshihito Mori	107 0.7×	75 0.7×	218 2.3×	54 0.7×	11 0.2×	18	393

Countries citing papers authored by Xiaoyu Dai

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyu Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Dai

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