Xiumei Mo

963 citations
14 papers · 719 · h-index 11

Impact in

Papers in

Xiumei Mo

14 papers receiving 717 citations

Peers

Xiumei Mo
Comparison fields: 5 of 65
  • Biomaterials 463
  • Cellular and Molecular Neuroscience 329
  • Biomedical Engineering 422
  • Polymers and Plastics 124
  • Developmental Neuroscience 19
Replace Adrián Magaz with:
Adrián Magaz United Kingdom
Hany EI‐Hamshary Saudi Arabia
Wenling Cao China
Tae In Hwang South Korea
Michael R. Arul United States
Eva Schnell United Kingdom
Ohan S. Manoukian United States
Mohammad Ali Derakhshan Iran
Jue Hu United States
Nima Khadem Mohtaram Canada
Xiumei Mo relative to Adrián Magaz United Kingdom Adrián Magaz's profile →
Citations per field
00.5×10×14×
Adrián Magaz · 1×
Citations per year

Countries citing papers authored by Xiumei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiumei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014124
2 2016109
3 201890
4 201689
5 201780
6 200957
7 201752
8 201549
9 202021
10 201717
11 200915
12 201710
13 20245
14 20251

About Xiumei Mo

Xiumei Mo is a scholar working on Biomaterials, Cellular and Molecular Neuroscience, Biomedical Engineering, Surgery and Polymers and Plastics, having authored 14 papers that have together received 719 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (11 papers), Nerve injury and regeneration (7 papers), Silk-based biomaterials and applications (4 papers), Conducting polymers and applications (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Bone Tissue Engineering Materials (2 papers) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Biomaterials (463 citations), Cellular and Molecular Neuroscience (329 citations), Biomedical Engineering (422 citations), Polymers and Plastics (124 citations) and Developmental Neuroscience (19 citations). Xiumei Mo has collaborated with scholars based in China, Saudi Arabia and Egypt. Frequent co-authors include Binbin Sun, Tong Wu, Salem S. Al‐Deyab, Hany El‐Hamshary, Yinxian Yu, Hany EI‐Hamshary, Hao Zheng, Zifei Zhou, Kexin Qiu and Jianguang Zhang. Their work appears in journals such as Journal of Materials Chemistry B, Frontiers in Molecular Neuroscience, Journal of Polymer Science Part B Polymer Physics, Colloids and Surfaces B Biointerfaces and Materials Science and Engineering C.

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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