Guanwang Shen

533 total citations
45 papers, 369 citations indexed

About

Guanwang Shen is a scholar working on Insect Science, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Guanwang Shen has authored 45 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Insect Science, 21 papers in Cellular and Molecular Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Guanwang Shen's work include Neurobiology and Insect Physiology Research (19 papers), Silk-based biomaterials and applications (18 papers) and Silkworms and Sericulture Research (12 papers). Guanwang Shen is often cited by papers focused on Neurobiology and Insect Physiology Research (19 papers), Silk-based biomaterials and applications (18 papers) and Silkworms and Sericulture Research (12 papers). Guanwang Shen collaborates with scholars based in China, United States and Japan. Guanwang Shen's co-authors include Qingyou Xia, Ping Lin, Ying Lin, Min Wu, Jianxin Jiang, Hongling Liu, Haiyan Zhang, Chaoshan Han, Ping Zhao and Zhiqing Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Guanwang Shen

39 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guanwang Shen China 13 201 137 119 71 52 45 369
Zhong Zheng Gui South Korea 10 244 1.2× 186 1.4× 66 0.6× 62 0.9× 75 1.4× 16 402
Seulgi Mun South Korea 10 156 0.8× 187 1.4× 95 0.8× 73 1.0× 51 1.0× 14 316
Barbara Kłudkiewicz Poland 13 176 0.9× 134 1.0× 78 0.7× 117 1.6× 52 1.0× 25 363
Run-Xi Xia China 13 155 0.8× 105 0.8× 43 0.4× 96 1.4× 37 0.7× 26 320
Shou‐Min Fang China 13 278 1.4× 249 1.8× 60 0.5× 61 0.9× 45 0.9× 21 493
Sławomir Bartoszewski Germany 6 222 1.1× 87 0.6× 100 0.8× 48 0.7× 100 1.9× 11 385
Sun Chang Kim South Korea 7 261 1.3× 116 0.8× 58 0.5× 63 0.9× 165 3.2× 10 407
Pil Don Kang South Korea 9 311 1.5× 216 1.6× 65 0.5× 225 3.2× 72 1.4× 24 530
Shiping Liu China 10 239 1.2× 179 1.3× 87 0.7× 97 1.4× 82 1.6× 23 473
Evi Andronopoulou Greece 7 206 1.0× 215 1.6× 260 2.2× 120 1.7× 52 1.0× 7 450

Countries citing papers authored by Guanwang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Guanwang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanwang Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Guanwang Shen. A scholar is included among the top collaborators of Guanwang Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guanwang Shen. Guanwang Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Feng, Mingyi Zhou, Wei Chen, et al.. (2025). N6-methyladenosine modification of host Hsc70 attenuates nucleopolyhedrovirus infection in the lepidopteran model insect Bombyx mori. International Journal of Biological Macromolecules. 298. 139869–139869. 1 indexed citations
2.
Liu, Yong, Zhengyi Li, Lili Zhou, et al.. (2025). BmPriS promotes silk gland growth by regulating endoreplication in silkworm. International Journal of Biological Macromolecules. 320(Pt 1). 145640–145640.
3.
Wu, Lin, Li Zhao, Yuting Feng, et al.. (2025). SGDAcn is a suppressor for silk gland endoreplication and development. Insect Science.
4.
Chi, Tian, Yuancheng Wang, Dongsheng Yuan, et al.. (2025). Novel genetically engineered silk materials for recycling polyethylene terephthalate (PET) plastic waste. Journal of Hazardous Materials. 496. 139446–139446. 1 indexed citations
5.
Li, Lingyi, et al.. (2024). Silkworm Hemolymph and Cocoon Metabolomics Reveals Valine Improves Feed Efficiency of Silkworm Artificial Diet. Insects. 15(4). 291–291. 2 indexed citations
6.
7.
Zhu, Hongtao, Jing Cheng, Wei Sheng, et al.. (2024). How Do Butterflies Use Silk to Attach their Pupae to Trees?. ACS Biomaterials Science & Engineering. 10(8). 4855–4864. 2 indexed citations
8.
Geng, Wenjing, Feng Chen, Mingyi Zhou, et al.. (2024). Transgenic silkworm expressing bioactive human ciliary neurotrophic factor for biomedical application. Insect Science. 32(3). 809–820. 1 indexed citations
9.
Guo, Hao, Feng Chen, Mingyi Zhou, et al.. (2023). CRISPR-Cas9-Mediated Mutation of Methyltransferase METTL4 Results in Embryonic Defects in Silkworm Bombyx mori. International Journal of Molecular Sciences. 24(4). 3468–3468. 4 indexed citations
10.
Shen, Guanwang, et al.. (2023). A Study on the Effect of Energy on the Development of Silkworm Embryos Using an Estrogen-Related Receptor. International Journal of Molecular Sciences. 24(19). 14485–14485. 3 indexed citations
11.
Zhang, Wenchang, Zhiqing Li, Hao Guo, et al.. (2023). Bioengineered silkworm model for expressing human neurotrophin-4 with potential biomedical application. Frontiers in Physiology. 13. 1104929–1104929. 6 indexed citations
12.
Shen, Guanwang, et al.. (2023). Vitellogenin receptor transports the 30K protein LP1 without cell-penetrating peptide, into the oocytes of the silkworm, Bombyx mori. Frontiers in Physiology. 14. 1117505–1117505. 2 indexed citations
13.
Lin, Ping, Guanwang Shen, Kai Guo, et al.. (2022). Type III CRISPR-based RNA editing for programmable control of SARS-CoV-2 and human coronaviruses. Nucleic Acids Research. 50(8). e47–e47. 15 indexed citations
14.
Shen, Guanwang, et al.. (2022). CRISPR-Cas-mediated diagnostics. Trends in biotechnology. 40(11). 1326–1345. 58 indexed citations
15.
Dong, Zhaoming, Meng‐Yao Lu, Haiqin Chen, et al.. (2021). SPINK7 Recognizes Fungi and Initiates Hemocyte-Mediated Immune Defense Against Fungal Infections. Frontiers in Immunology. 12. 735497–735497. 12 indexed citations
16.
Liu, Hongling, et al.. (2019). A novel GATA transcription factor GATAβ4 promotes vitellogenin transcription and egg formation in the silkworm Bombyx mori. Insect Biochemistry and Molecular Biology. 107. 10–18. 15 indexed citations
17.
Liu, Hongling, Ying Lin, Guanwang Shen, et al.. (2019). The increase of amino acids induces the expression of vitellogenin after spinning in the silkworm Bombyx mori. Journal of Insect Physiology. 118. 103913–103913. 4 indexed citations
18.
Shen, Guanwang, Yong Wang, Hongling Liu, et al.. (2018). The expression of ecdysteroid UDP-glucosyltransferase enhances cocoon shell ratio by reducing ecdysteroid titre in last-instar larvae of silkworm, Bombyx mori. Scientific Reports. 8(1). 17710–17710. 8 indexed citations
19.
Zhang, Haiyan, Ying Lin, Guanwang Shen, et al.. (2017). Pigmentary analysis of eggs of the silkworm Bombyx mori. Journal of Insect Physiology. 101. 142–150. 20 indexed citations
20.
Shen, Guanwang, et al.. (2014). Do insects have vertebrate sex hormones. Acta Entomologica Sinica. 57(11). 1351–1359. 1 indexed citations

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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