Xiaodan Wu

2.4k citations
74 papers · 1.7k · 1 hit paper · h-index 19

Impact in

Papers in

Xiaodan Wu

66 papers receiving 1.7k citations

Xiaodan Wu's Hit Papers

HucMSC-Exosome Mediated-Wnt4 Signaling Is Required for Cutaneous Wound Healing 2014 · 644 citations
6440+4+8Years since publication200400600

Peers

Xiaodan Wu
Comparison fields: 5 of 157
  • Industrial and Manufacturing Engineering 278
  • Rehabilitation 162
  • Genetics 202
  • Cancer Research 239
  • Molecular Biology 636
Replace Wuquan Deng with:
Wuquan Deng China
Zhonghai Li China
Li Zang China
Xiaohui Zhou China
Zhaohui Zheng China
James Malone United States
Sung Won Han South Korea
Lin Song China
Chuan Lv China
Hyun Woo Lee South Korea
Xiaodan Wu relative to Wuquan Deng China Wuquan Deng's profile →
Citations per field
00.5×4.1×
Wuquan Deng · 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 74 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 →
2014644
2 2006147
3 201791
4 200782
5 200769
6 201453
7 200642
8 202140
9 201737
10 202333
11 202033
12 201332
13 200832
14 202129
15 201926
16 202224
17 202020
18 202018
19 201818
20 201917

About Xiaodan Wu

Xiaodan Wu is a scholar working on Industrial and Manufacturing Engineering, Cardiology and Cardiovascular Medicine, Molecular Biology, Economics and Econometrics and Emergency Medical Services, having authored 74 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), Optimization and Packing Problems (4 papers), Hospital Admissions and Outcomes (4 papers), ECG Monitoring and Analysis (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (278 citations), Rehabilitation (162 citations), Genetics (202 citations), Cancer Research (239 citations) and Molecular Biology (636 citations). Xiaodan Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chao‐Hsien Chu, Yunfeng Wang, Hui Shi, Wenrong Xu, Xu Zhang, Bin Zhang, Wei Zhu, Yanhua Zhu, Aihua Gong and Mei Wang. Their work appears in journals such as Computers & Industrial Engineering, European Journal of Operational Research, Aging, Chaos An Interdisciplinary Journal of Nonlinear Science and Advances in Therapy.

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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