Yewen Wu

16 papers receiving 848 citations

Peers

Yewen Wu
Comparison fields: 5 of 94
  • Plant Science 284
  • Pathology and Forensic Medicine 111
  • Developmental Neuroscience 21
  • Molecular Biology 361
  • Biomaterials 71
Replace Sung‐Jin Yoon with:
Sung‐Jin Yoon South Korea
Yunshu Yang China
Cheng Zhong China
Junhao Liu China
Wei Qü China
Chao Jiang China
Gaofeng Zhang China
Clarissa P. C. Gomes Brazil
Valentina Di Valerio Italy
Carla Martins Kaneto Brazil
Yewen Wu relative to Sung‐Jin Yoon South Korea Sung‐Jin Yoon's profile →
Citations per field
00.5×2×3×4.4×
Sung‐Jin Yoon · 1×
Citations per year

Countries citing papers authored by Yewen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yewen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yewen 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 Yewen Wu Line = papers co-authored together Yewen Wu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1998283
2 2000105
3 2009103
4 201691
5 201184
6 201380
7 200736
8 201124
9 200115
10 202213
11 201112
12 201910
13 20239
14 20243
15
[VEGF overespression promotes the proliferation and differentiation of human adipose-derived stem cells].
20172
16 20201

About Yewen Wu

Yewen Wu is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 871 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Plant Molecular Biology Research (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers), Neuropeptides and Animal Physiology (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Plant Science (284 citations), Pathology and Forensic Medicine (111 citations), Developmental Neuroscience (21 citations), Molecular Biology (361 citations) and Biomaterials (71 citations). Yewen Wu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Ricardo Azpiroz, Kenneth A. Feldmann, Joseph J. Bahl, Victoria C. Tu, Qin M. Chen, Bradley K. McConnell, Shivali Gupta, Vandanajay Bhatia, Xing Yin and Nisha Garg. Their work appears in journals such as Cardiovascular Drugs and Therapy, Frontiers in Bioengineering and Biotechnology, Pain, Archives of Biochemistry and Biophysics and American Journal of Physiology-Heart and Circulatory Physiology.

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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