Sheng Qin

724 total citations
44 papers, 491 citations indexed

About

Sheng Qin is a scholar working on Molecular Biology, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sheng Qin has authored 44 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Insect Science and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sheng Qin's work include Insect Resistance and Genetics (12 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Silk-based biomaterials and applications (9 papers). Sheng Qin is often cited by papers focused on Insect Resistance and Genetics (12 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers) and Silk-based biomaterials and applications (9 papers). Sheng Qin collaborates with scholars based in China, Canada and South Korea. Sheng Qin's co-authors include Liming Chen, Fei Ma, Ping Jin, Muwang Li, Xia Sun, Xiaojun Song, Chengxiang Hou, Lele Wu, Fei Ma and Shiyi Yu and has published in prestigious journals such as Science, Bioinformatics and PLoS ONE.

In The Last Decade

Sheng Qin

39 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Qin China 12 309 91 90 88 58 44 491
Nicole Steinbach United States 8 259 0.8× 57 0.6× 96 1.1× 42 0.5× 79 1.4× 9 488
Hongen Xu China 13 290 0.9× 31 0.3× 46 0.5× 97 1.1× 88 1.5× 56 497
Shenqiu Wang United States 9 311 1.0× 150 1.6× 52 0.6× 35 0.4× 14 0.2× 10 489
Stephen Butcher United States 8 431 1.4× 40 0.4× 107 1.2× 94 1.1× 22 0.4× 9 569
Lijuan Kan United States 10 412 1.3× 48 0.5× 19 0.2× 42 0.5× 75 1.3× 14 510
Jan‐Michael Kugler Denmark 11 242 0.8× 38 0.4× 41 0.5× 30 0.3× 135 2.3× 16 358
Tsubasa Tanaka Japan 12 428 1.4× 194 2.1× 88 1.0× 69 0.8× 118 2.0× 20 783
Diana M. Vallejo Spain 8 411 1.3× 90 1.0× 33 0.4× 49 0.6× 132 2.3× 8 621
Ellen J. Ward United States 11 558 1.8× 145 1.6× 28 0.3× 85 1.0× 125 2.2× 13 681
Ya‐Wen Chang China 12 296 1.0× 21 0.2× 226 2.5× 100 1.1× 36 0.6× 41 470

Countries citing papers authored by Sheng Qin

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Qin. A scholar is included among the top collaborators of Sheng Qin 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 Sheng Qin. Sheng Qin 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.
Wang, Yaohui, Sheng Qin, Yang Xu, et al.. (2025). Functional polymorphism of CYCLE underlies the diapause variation in moths. Science. 388(6750). eado2129–eado2129. 4 indexed citations
2.
Yu, Wenjing, A Wan, Sheng Qin, et al.. (2025). BmeIF4E2 promotes AcMNPV infection in the silkworm, Bombyx mori, by direct interaction. Pesticide Biochemistry and Physiology. 214. 106560–106560.
3.
Chen, Wei, et al.. (2025). Identification of cellular senescence-related genes as biomarkers for lupus nephritis based on bioinformatics. Frontiers in Genetics. 16. 1551450–1551450. 2 indexed citations
4.
Zhang, Qiang, Sheng Qin, Xia Sun, et al.. (2024). Uridine diphosphate glucosyltransferase is vital for fenpropathrin resistance in Bombyx mori ( Lepidoptera ). Insect Molecular Biology. 33(6). 560–570. 2 indexed citations
5.
6.
Ma, Da, et al.. (2024). BmEL‐2 promotes triglyceride metabolism by regulating BmAGPATγ and BmFAF2 expression in Bombyx mori. Insect Science. 32(4). 1256–1268. 1 indexed citations
7.
Su, Zhihao, Chunxiao Zhao, Xinming Huang, et al.. (2023). Bombyx mori Ecdysone Receptor B1 May Inhibit BmNPV Infection by Triggering Apoptosis. Insects. 14(6). 505–505. 2 indexed citations
8.
Tang, Ya‐ling, et al.. (2023). Transcriptomic dissection of termite gut microbiota following entomopathogenic fungal infection. Frontiers in Physiology. 14. 1194370–1194370. 4 indexed citations
9.
Sun, Xia, et al.. (2023). Overexpression of Ultrabithorax Changes the Development of Silk Gland and the Expression of Fibroin Genes in Bombyx mori. International Journal of Molecular Sciences. 24(7). 6670–6670.
10.
Wang, Xin, Shuang Cheng, Zhihao Su, et al.. (2022). Bombyx mori transcription factor, E74A, beneficially affects BmNPV infection through direct interaction. Pest Management Science. 78(12). 5302–5312. 10 indexed citations
11.
Sun, Xia, et al.. (2022). Bombyx mori Vps13d is a key gene affecting silk yield. PLoS ONE. 17(7). e0270840–e0270840. 1 indexed citations
12.
Wang, Xueyang, Tao Li, Jia Xu, et al.. (2019). The regulation of crecropin-A and gloverin 2 by the silkworm Toll-like gene 18 wheeler in immune response. Journal of Invertebrate Pathology. 164. 49–58. 9 indexed citations
13.
Sun, Xia, Shu Zhang, Sheng Qin, et al.. (2018). MicroRNA Expression Analysis of Naked Silkworms. Journal of Economic Entomology. 5 indexed citations
14.
Qin, Sheng, Jıng Zhang, Juan Li, et al.. (2018). MicroRNA profile of silk gland reveals different silk yields of three silkworm strains. Gene. 653. 1–9. 10 indexed citations
15.
Zhang, Meirong, Sheng Qin, Pingzhen Xu, & Guozheng Zhang. (2018). Identifying potential maternal genes of Bombyx mori using digital gene expression profiling. PLoS ONE. 13(2). e0192745–e0192745. 7 indexed citations
16.
Zhang, Jing, Chenyu Wu, Na Liu, et al.. (2017). Comparative transcriptomes analysis of the wing disc between two silkworm strains with different size of wings. PLoS ONE. 12(6). e0179560–e0179560. 11 indexed citations
17.
Wei, Guanyun, Sheng Qin, Wenjuan Li, Liming Chen, & Fei Ma. (2015). MDTE DB: A Database for MicroRNAs Derived from Transposable Element. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 13(6). 1155–1160. 25 indexed citations
18.
Zhou, Xue, Ping Jin, Sheng Qin, Liming Chen, & Fei Ma. (2012). Systematic investigation of Amphioxus (Branchiostoma floridae) microRNAs. Gene. 508(1). 110–116. 4 indexed citations
19.
Jin, Ping, Sheng Qin, Xi Chen, et al.. (2012). Evolutionary rate of human tissue-specific genes are related with transposable element insertions. Genetica. 140(10-12). 513–523. 7 indexed citations
20.

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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