Weide Shen

3.3k citations
78 papers · 1.8k · h-index 25

Impact in

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

Papers in

    • Insect Resistance and Genetics 39
    • Viral Infectious Diseases and Gene Expression in Insects 29
    • Silkworms and Sericulture Research 15
    • Insect Utilization and Effects 10

Weide Shen

75 papers receiving 1.7k citations

Peers

Weide Shen
Comparison fields: 5 of 98
  • Insect Science 681
  • Biomaterials 718
  • Microbiology 95
  • Cellular and Molecular Neuroscience 240
  • Molecular Biology 847
Replace Yun‐gen Miao with:
Yun‐gen Miao China
Rosanna Salvia Italy
Renyu Xue China
Aichun Zhao China
Luisa Fiandra Italy
Carmen Scieuzo Italy
Shuo Yan China
Jasjeet Kaur India
Weide Shen relative to Yun‐gen Miao China Yun‐gen Miao's profile →
Citations per field
00.5×
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 2006205
2 2003157
3 200683
4 200583
5 199861
6 201359
7 201156
8 200553
9 201549
10 201443
11 201540
12 201240
13 201438
14 201437
15 200634
16 201233
17 201432
18 201331
19 201030
20 201428

About Weide Shen

Weide Shen is a scholar working on Molecular Biology, Insect Science, Biomaterials, Cellular and Molecular Neuroscience and Immunology, having authored 78 papers that have together received 1.8k 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 Insect Science (681 citations), Biomaterials (718 citations), Microbiology (95 citations), Cellular and Molecular Neuroscience (240 citations) and Molecular Biology (847 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, Fashui Hong, Kaizun Xu, Wenbao Wang, Lanjian Zhuge 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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