Xiaomei Dai

409 total citations
29 papers, 244 citations indexed

About

Xiaomei Dai is a scholar working on Nephrology, Surgery and Epidemiology. According to data from OpenAlex, Xiaomei Dai has authored 29 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nephrology, 7 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Xiaomei Dai's work include Acute Kidney Injury Research (8 papers), Shoulder Injury and Treatment (6 papers) and Chronic Kidney Disease and Diabetes (5 papers). Xiaomei Dai is often cited by papers focused on Acute Kidney Injury Research (8 papers), Shoulder Injury and Treatment (6 papers) and Chronic Kidney Disease and Diabetes (5 papers). Xiaomei Dai collaborates with scholars based in China and Hong Kong. Xiaomei Dai's co-authors include Yanhong Li, Xiaozhong Li, Zhenjiang Bai, Xiaozhong Li, Weiqing Chen, Jian Wang, Fang Fang, Jian Pan, Hongwei Ma and Xiaohan Hu and has published in prestigious journals such as IEEE Access, Frontiers in Immunology and Advanced Science.

In The Last Decade

Xiaomei Dai

28 papers receiving 241 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaomei Dai China 9 74 50 44 40 39 29 244
Mehdi Asadi Iran 10 21 0.3× 73 1.5× 17 0.4× 51 1.3× 27 0.7× 34 292
Pallavi Khattar United States 8 33 0.4× 71 1.4× 25 0.6× 78 1.9× 17 0.4× 18 260
George Kyriakopoulos Greece 12 29 0.4× 23 0.5× 17 0.4× 70 1.8× 65 1.7× 30 320
Tim Both Netherlands 9 37 0.5× 36 0.7× 69 1.6× 108 2.7× 17 0.4× 11 377
Yu Xia China 9 10 0.1× 82 1.6× 50 1.1× 42 1.1× 45 1.2× 39 267
Xiaobo Zhang China 12 17 0.2× 31 0.6× 21 0.5× 106 2.6× 28 0.7× 28 365
M. Slouma Tunisia 7 17 0.2× 28 0.6× 33 0.8× 26 0.7× 19 0.5× 74 189
Mohamed Tharwat Hegazy Egypt 8 18 0.2× 6 0.1× 55 1.3× 36 0.9× 43 1.1× 24 217
Doured Daghistani United States 7 19 0.3× 22 0.4× 25 0.6× 53 1.3× 21 0.5× 15 198
Antonella Simpatico Italy 10 21 0.3× 14 0.3× 55 1.3× 86 2.1× 19 0.5× 13 320

Countries citing papers authored by Xiaomei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Dai. A scholar is included among the top collaborators of Xiaomei 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 Xiaomei Dai. Xiaomei Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cheng, Zhaokan, Dianwei Liu, Jin-Young Park, et al.. (2025). Evaluation of the management of rotator cuff injuries utilising superparamagnetic iron oxide tracking stem cells. Tissue and Cell. 95. 102836–102836. 1 indexed citations
2.
3.
Dai, Xiaomei, et al.. (2024). PD-1 immunology in the kidneys: a growing relationship. Frontiers in Immunology. 15. 1458209–1458209. 2 indexed citations
4.
Wu, Zhonglian, Jian Yang, Hui Chong, et al.. (2024). 3D-printed biomimetic scaffolds loaded with ADSCs and BMP-2 for enhanced rotator cuff repair. Journal of Materials Chemistry B. 12(47). 12365–12377. 5 indexed citations
5.
Yao, Hang, Hui Chong, Jian Yang, et al.. (2024). Tissue-engineered collagen matrix loaded with rat adipose-derived stem cells/human amniotic mesenchymal stem cells for rotator cuff tendon-bone repair. International Journal of Biological Macromolecules. 282(Pt 4). 137144–137144. 3 indexed citations
6.
Dai, Xiaomei, Jian Yang, Junli Shi, et al.. (2024). Dual cross-linked COL1/HAp bionic gradient scaffolds containing human amniotic mesenchymal stem cells promote rotator cuff tendon–bone interface healing. Biomaterials Advances. 158. 213799–213799. 8 indexed citations
7.
Yang, Yuxia, et al.. (2024). Sequencing technology in sarcopenia: current research progress and future trends. Frontiers in Molecular Biosciences. 11. 1309006–1309006. 2 indexed citations
8.
Dai, Xiaomei, et al.. (2023). The role of PD-1 signaling in health and immune-related diseases. Frontiers in Immunology. 14. 1163633–1163633. 73 indexed citations
9.
10.
Chen, Zhenjiang, Xiaomei Dai, & Yanhong Li. (2023). Addition of platelet-lymphocyte ratio to risk factors to improve the early prediction of acute kidney injury and mortality in critically ill neonates. Annals of Palliative Medicine. 12(3). 538–547. 2 indexed citations
11.
Dai, Xiaomei, et al.. (2023). Clinical features and management of atypical hemolytic uremic syndrome patient with DGKE gene variants: a case report. Frontiers in Pediatrics. 11. 1162974–1162974. 2 indexed citations
12.
Dai, Xiaomei, et al.. (2023). Sintilimab treatment for chronic active Epstein–Barr virus infection and Epstein–Barr virus-associated hemophagocytic lymphohistiocytosis in children. Orphanet Journal of Rare Diseases. 18(1). 297–297. 5 indexed citations
13.
Xu, Xuefeng, Xiaohui Liu, Wenjie Zheng, et al.. (2022). Efficacy and safety of etanercept biosimilar rhTNFR-Fc in Chinese patients with juvenile idiopathic arthritis: An open-label multicenter observational study. Frontiers in Pediatrics. 10. 992932–992932. 2 indexed citations
14.
Dai, Xiaomei, et al.. (2022). Derivation and validation of urinary TIMP-1 for the prediction of acute kidney injury and mortality in critically ill children. Journal of Translational Medicine. 20(1). 102–102. 10 indexed citations
15.
Zhou, Huiting, Wenwen Wang, Xiaomei Dai, et al.. (2021). Prediction of acute kidney injury, sepsis and mortality in children with urinary CXCL10. Pediatric Research. 92(2). 541–548. 8 indexed citations
16.
Dai, Xiaomei, Zhongyue Zhang, Zhenjiang Bai, et al.. (2021). In PICU acute kidney injury stage 3 or mortality is associated with early excretion of urinary renin. Pediatric Research. 91(5). 1149–1155. 3 indexed citations
17.
Li, Yanhong, et al.. (2020). Hypercalcemia, hyperuricemia, and kidney dysfunction in a 35-month-old boy: Questions. Pediatric Nephrology. 36(1). 71–72. 3 indexed citations
18.
Li, Yanhong, et al.. (2020). Hypercalcemia, hyperuricemia, and kidney dysfunction in a 35-month-old boy: Answers. Pediatric Nephrology. 36(1). 73–76. 4 indexed citations
19.
Li, Gen, Xiaohan Hu, Xiaomei Dai, et al.. (2019). Urinary Nephrin as a Biomarker of Glomerular Maturation and Injury Is Associated with Acute Kidney Injury and Mortality in Critically Ill Neonates. Neonatology. 116(1). 58–66. 6 indexed citations
20.
Fang, Fang, Xiaohan Hu, Xiaomei Dai, et al.. (2018). Subclinical acute kidney injury is associated with adverse outcomes in critically ill neonates and children. Critical Care. 22(1). 256–256. 29 indexed citations

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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