Weide Shen

3.3k citations
78 papers · 1.9k · h-index 25

Impact in

    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications
    • Silkworms and Sericulture Research
    • Insect Utilization and Effects
    • Insect and Pesticide Research

Papers in

    • Silkworms and Sericulture Research 15
    • Insect Utilization and Effects 10
    • Silk-based biomaterials and applications 22

Weide Shen

75 papers receiving 1.8k citations

Peers

Weide Shen
Comparison fields: 5 of 105
  • Biomaterials 766
  • Insect Science 707
  • Microbiology 101
  • Cellular and Molecular Neuroscience 241
  • Molecular Biology 885
Replace Yun‐gen Miao with:
Yun‐gen Miao China
Thierry Lefèvre Canada
Rosanna Salvia Italy
Aichun Zhao China
Renyu Xue China
Luisa Fiandra Italy
Zhi‐Gang Qian China
Carmen Scieuzo Italy
Weide Shen relative to Yun‐gen Miao China Yun‐gen Miao's profile →
Citations per field
00.5×2×2.8×
Yun‐gen Miao · 1×
Citations per year

Countries citing papers authored by Weide Shen

Since Specialization
Citations

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

Fields of papers citing papers by Weide Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006228
2 2003175
3 200690
4 200585
5 199863
6 201361
7 200559
8 201158
9 201549
10 201446
11 201544
12 201442
13 201242
14 201439
15 201437
16 201236
17 200636
18 201031
19 201331
20 201229

About Weide Shen

Weide Shen is a scholar working on Insect Science, Biomaterials, Molecular Biology, Cellular and Molecular Neuroscience and Immunology, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (39 papers), Viral Infectious Diseases and Gene Expression in Insects (29 papers), Silk-based biomaterials and applications (22 papers), Neurobiology and Insect Physiology Research (17 papers), Silkworms and Sericulture Research (15 papers), Insect Utilization and Effects (10 papers), Invertebrate Immune Response Mechanisms (8 papers) and Insect Pest Control Strategies (7 papers). The work is most often cited by research in Biomaterials (766 citations), Insect Science (707 citations), Microbiology (101 citations), Cellular and Molecular Neuroscience (241 citations) and Molecular Biology (885 citations). Weide Shen has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yu‐Qing Zhang, Bing Li, Fanchi Li, Min Ni, Yan Ma, Lanjian Zhuge, Wenbao Wang, Kaizun Xu, Fashui Hong and Meilin Tao. Their work appears in journals such as Molecular Biology Reports, Biological Trace Element Research, Pesticide Biochemistry and Physiology, Environmental Toxicology and Chemosphere.

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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