Weihua Dan

2.2k citations
74 papers · 1.9k · h-index 26

Impact in

  • Biomaterials top 0.5%
    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Silk-based biomaterials and applications
    • Wound Healing and Treatments

Papers in

    • Collagen: Extraction and Characterization 30
    • Electrospun Nanofibers in Biomedical Applications 21
    • Silk-based biomaterials and applications 12
    • Bone Tissue Engineering Materials 16

Weihua Dan

74 papers receiving 1.9k citations

Peers

Weihua Dan
Comparison fields: 5 of 105
  • Biomaterials 1.3k
  • Rehabilitation 439
  • Molecular Medicine 170
  • Urology 110
  • Biomedical Engineering 748
Replace Nianhua Dan with:
Nianhua Dan China
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Mădălina Georgiana Albu Kaya Romania
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Weihua Dan relative to Nianhua Dan China Nianhua Dan's profile →
Citations per field
00.5×1.5×
Nianhua Dan · 1×
Citations per year

Countries citing papers authored by Weihua Dan

Since Specialization
Citations

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

Fields of papers citing papers by Weihua Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weihua Dan, 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 Weihua Dan Line = papers co-authored together Weihua Dan 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 2013158
2 2016125
3 201892
4 201380
5 201778
6 202075
7 201665
8 201962
9 201560
10 201758
11 201358
12 201847
13 202246
14 201941
15 200741
16 201640
17 202340
18 201934
19 201832
20 201630

About Weihua Dan

Weihua Dan is a scholar working on Biomaterials, Biomedical Engineering, Rehabilitation, Surgery and Molecular Medicine, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Collagen: Extraction and Characterization (30 papers), Wound Healing and Treatments (22 papers), Electrospun Nanofibers in Biomedical Applications (21 papers), Bone Tissue Engineering Materials (16 papers), Silk-based biomaterials and applications (12 papers), Tissue Engineering and Regenerative Medicine (11 papers), Surgical Sutures and Adhesives (9 papers) and Hydrogels: synthesis, properties, applications (6 papers). The work is most often cited by research in Biomaterials (1.3k citations), Rehabilitation (439 citations), Molecular Medicine (170 citations), Urology (110 citations) and Biomedical Engineering (748 citations). Weihua Dan has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Nianhua Dan, Yining Chen, Xinhua Liu, Zhipeng Gu, Yang Hu, Lan Liu, Changkai Yang, Zhongxiang Bai, Xin Zheng and Xixun Yu. Their work appears in journals such as International Journal of Biological Macromolecules, RSC Advances, Journal of Applied Polymer Science, International Journal of Polymer Analysis and Characterization 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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