Xiaodan Wu

2.3k citations
73 papers · 1.7k · 1 hit paper · h-index 18

Impact in

Papers in

Xiaodan Wu

65 papers receiving 1.6k citations

Hit Papers

HucMSC-Exosome Mediated-Wnt4 Signaling Is Required for Cutaneous Wound Healing 2014 · 632 citations
6320+4+8Years since publication200400600

Peers

Xiaodan Wu
Comparison fields: 5 of 157
  • Industrial and Manufacturing Engineering 278
  • Rehabilitation 188
  • Genetics 225
  • Cancer Research 273
  • Molecular Biology 684
Replace Zhaohui Zheng with:
Zhaohui Zheng China
Xiaohui Zhou China
Li Zang China
Van-Huy Pham Vietnam
Zhonghai Li China
James Malone United States
Sung Won Han South Korea
Lin Song China
Chuan Lv China
Xiaoyun Zhang China
Xiaodan Wu relative to Zhaohui Zheng China Zhaohui Zheng's profile →
Citations per field
00.5×5.9×
Zhaohui Zheng · 1×
Citations per year

Countries citing papers authored by Xiaodan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodan Wu Line = papers co-authored together Xiaodan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HucMSC-Exosome Mediated-Wnt4 Signaling Is Required for Cutaneous Wound Healing
Hit paper breakdown →
2014632
2 2006147
3 201789
4 200782
5 200769
6 201453
7 200642
8 201737
9 202137
10 202033
11 201332
12 200832
13 202330
14 202127
15 201925
16 202222
17 202018
18 201818
19 201917
20 202015

About Xiaodan Wu

Xiaodan Wu is a scholar working on Epidemiology, Industrial and Manufacturing Engineering, Molecular Biology, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (7 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Healthcare Policy and Management (5 papers), Assembly Line Balancing Optimization (5 papers), Autophagy in Disease and Therapy (4 papers), ECG Monitoring and Analysis (4 papers), Optimization and Packing Problems (4 papers) and Hospital Admissions and Outcomes (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (278 citations), Rehabilitation (188 citations), Genetics (225 citations), Cancer Research (273 citations) and Molecular Biology (684 citations). Xiaodan Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chao‐Hsien Chu, Yunfeng Wang, Wei Zhu, Hui Qian, Xu Zhang, Hui Shi, Lijun Wu, Bin Zhang, Wenrong Xu and Mei Wang. Their work appears in journals such as Computers & Industrial Engineering, European Journal of Operational Research, Aging, Measurement and Ecological Indicators.

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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