Lan Du

764 citations
23 papers · 684 · h-index 12

Impact in

    • Polymer composites and self-healing
    • Conducting polymers and applications
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Lan Du

23 papers receiving 677 citations

Peers

Lan Du
Comparison fields: 5 of 65
  • Polymers and Plastics 455
  • Biomaterials 137
  • Biotechnology 66
  • Process Chemistry and Technology 19
  • Organic Chemistry 162
Replace Valerie Sheares Ashby with:
Valerie Sheares Ashby United States
Pei‐Chen Zhao China
Wenpeng Zhao China
Aishwarya V. Menon India
Jialiang Xia China
Candy Löwenberg Germany
Francisco Lossada Germany
Ao Wang China
Jiaqi Xu China
Lan Du relative to Valerie Sheares Ashby United States Valerie Sheares Ashby's profile →
Citations per field
00.5×3.5×
Valerie Sheares Ashby · 1×
Citations per year

Countries citing papers authored by Lan Du

Since Specialization
Citations

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

Fields of papers citing papers by Lan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016118
2 2018118
3 201879
4 201659
5 201950
6 201643
7 201735
8 201834
9 201330
10 201625
11 202123
12 201920
13 20199
14 20169
15 20197
16 20196
17 20176
18 20174
19 20183
20 20162

About Lan Du

Lan Du is a scholar working on Polymers and Plastics, Organic Chemistry, Biomedical Engineering, Materials Chemistry and Oncology, having authored 23 papers that have together received 684 indexed citations. Recurring topics across this work include Polymer composites and self-healing (12 papers), Photochromic and Fluorescence Chemistry (6 papers), Polydiacetylene-based materials and applications (5 papers), Advanced Materials and Mechanics (3 papers), Plasmonic and Surface Plasmon Research (3 papers), Marine Sponges and Natural Products (3 papers), Hydraulic flow and structures (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Polymers and Plastics (455 citations), Biomaterials (137 citations), Biotechnology (66 citations), Process Chemistry and Technology (19 citations) and Organic Chemistry (162 citations). Lan Du has collaborated with scholars based in China, France and United States. Frequent co-authors include Yu‐Zhong Wang, Ke‐Ke Yang, Cheng‐Jie Fan, Hui Xie, Xiaoying Deng, Zhi‐Yuan Xu, Chuan‐Ying Cheng, Manjie He, Gang Xiang and Caili Huang. Their work appears in journals such as Macromolecules, Polymer Chemistry, Applied Materials Today, Macromolecular Materials and Engineering and Flow Measurement and Instrumentation.

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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