Chang‐De Lu

560 citations
38 papers · 482 · h-index 14

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Biomaterials top 10%
    • Silk-based biomaterials and applications

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 14
    • Insect Resistance and Genetics 12
    • RNA and protein synthesis mechanisms 5
    • DNA Repair Mechanisms 4
    • Silk-based biomaterials and applications 11

Chang‐De Lu

38 papers receiving 467 citations

Peers

Chang‐De Lu
Comparison fields: 5 of 72
  • Virology 78
  • Biomaterials 117
  • Insect Science 84
  • Infectious Diseases 105
  • Molecular Biology 338
Replace Juan Tan with:
Juan Tan China
Martine Duonor-Cérutti France
Helen Andrade Arcuri Brazil
Abraham G. Eappen United States
Jeman Kim Japan
Garry Β. Takle United Kingdom
Jason R. Hollister United States
Yingxia Hu United States
Jason Choi United States
Chang‐De Lu relative to Juan Tan China Juan Tan's profile →
Citations per field
00.5×3.3×
Juan Tan · 1×
Citations per year

Countries citing papers authored by Chang‐De Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐De Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐De Lu. 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 Chang‐De Lu. The network helps show where Chang‐De Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199786
2 200237
3 201937
4 200431
5 200526
6 200824
7 200622
8 200321
9 200620
10 200519
11 200719
12 200916
13 199315
14 200814
15
Fluorescent Transgenic Silkworm.
199911
16 200410
17 201110
18 20107
19 19927
20 20056

About Chang‐De Lu

Chang‐De Lu is a scholar working on Molecular Biology, Biomaterials, Insect Science, Ecology and Genetics, having authored 38 papers that have together received 482 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (14 papers), Insect Resistance and Genetics (12 papers), Silk-based biomaterials and applications (11 papers), Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Silkworms and Sericulture Research (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Virology (78 citations), Biomaterials (117 citations), Insect Science (84 citations), Infectious Diseases (105 citations) and Molecular Biology (338 citations). Chang‐De Lu has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Wenjing Tong, Antero G. So, Walter A. Scott, S. Matsuura, Satish Kumar Sharma, Xicheng Mao, Chao Liang, Shengpeng Wang, Yafang Hu and Junting Huang. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, FEBS Letters, Analytical Biochemistry, Biochemistry and Archives of Virology.

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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