Sheng Qu

751 total citations · 1 hit paper
8 papers, 482 citations indexed

About

Sheng Qu is a scholar working on Molecular Biology, Aquatic Science and Immunology. According to data from OpenAlex, Sheng Qu has authored 8 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Aquatic Science and 2 papers in Immunology. Recurrent topics in Sheng Qu's work include vaccines and immunoinformatics approaches (2 papers), Aquaculture Nutrition and Growth (2 papers) and Immunotherapy and Immune Responses (2 papers). Sheng Qu is often cited by papers focused on vaccines and immunoinformatics approaches (2 papers), Aquaculture Nutrition and Growth (2 papers) and Immunotherapy and Immune Responses (2 papers). Sheng Qu collaborates with scholars based in China. Sheng Qu's co-authors include Guohui Chuai, Dongyu Xue, Qi Liu, Chenyu Zhu, Chi Zhou, Nanfang Hong, De-Shuang Huang, Jia Wei, Feng Gu and Bin Duan and has published in prestigious journals such as Genome biology, Frontiers in Immunology and Ocean Engineering.

In The Last Decade

Sheng Qu

7 papers receiving 478 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepCRISPR: optimized CRISPR guide RNA design by deep learning

2018 356 citations Guohui Chuai, Hanhui Ma et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheng Qu China	4	422	51	51	42	39	8	482
Jiecong Lin Hong Kong	10	405 1.0×	63 1.2×	11 0.2×	42 1.0×	20 0.5×	21	478
Yunku Yeu South Korea	6	227 0.5×	60 1.2×	19 0.4×	71 1.7×	66 1.7×	14	359
Martin Pačesa Switzerland	11	383 0.9×	8 0.2×	21 0.4×	93 2.2×	54 1.4×	13	468
James E. Lucas United States	6	304 0.7×	36 0.7×	15 0.3×	31 0.7×	12 0.3×	8	349
Jeffrey A. Ruffolo United States	11	579 1.4×	54 1.1×	79 1.5×	18 0.4×	34 0.9×	14	712
Dongyu Xue China	6	512 1.2×	88 1.7×	5 0.1×	59 1.4×	15 0.4×	7	619
Hunter Nisonoff United States	7	205 0.5×	22 0.4×	23 0.5×	20 0.5×	19 0.5×	9	252
Jia Wei China	6	679 1.6×	11 0.2×	11 0.2×	56 1.3×	16 0.4×	12	725
Wenxin Hu Australia	6	293 0.7×	14 0.3×	11 0.2×	27 0.6×	14 0.4×	9	321
Sachini U. Siriwardena United States	8	403 1.0×	6 0.1×	36 0.7×	25 0.6×	74 1.9×	10	457

Countries citing papers authored by Sheng Qu

Since Specialization

Citations

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

Fields of papers citing papers by Sheng Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Qu. A scholar is included among the top collaborators of Sheng Qu 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 Qu. Sheng Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Qu, Sheng, et al.. (2025). The collaborative navigation decision-making method of USV by UAV based on improved PPO algorithm. Ocean Engineering. 341. 122381–122381. 1 indexed citations

2.

Wang, Liu, Yanhong He, Wei Xu, et al.. (2025). Seasonal variations and comparative nutritional composition of hatchery-reared, hatchery-released, and wild black rockfish (Sebastes schlegelii). Frontiers in Marine Science. 11.

3.

Zhou, Huiting, Jia Wang, Rui Gao, et al.. (2024). Physiological responses to different temperature in the liver of Takifugu rubripes larvae revealed by integrated transcriptomic and metabolomic analyses. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 54. 101371–101371. 1 indexed citations

4.

Tang, Yi, et al.. (2024). Immunopeptides: immunomodulatory strategies and prospects for ocular immunity applications. Frontiers in Immunology. 15. 1406762–1406762. 4 indexed citations

5.

Zhou, Chi, Zhiting Wei, Biyu Zhang, et al.. (2019). pTuneos: prioritizing tumor neoantigens from next-generation sequencing data. Genome Medicine. 11(1). 67–67. 60 indexed citations

6.

Chuai, Guohui, Hanhui Ma, Jifang Yan, et al.. (2018). DeepCRISPR: optimized CRISPR guide RNA design by deep learning. Genome biology. 19(1). 80–80. 356 indexed citations breakdown →

7.

Xue, Dongyu, Yukang Gong, Guohui Chuai, et al.. (2018). Advances and challenges in deep generative models for de novo molecule generation. Wiley Interdisciplinary Reviews Computational Molecular Science. 9(3). 59 indexed citations

8.

Qu, Sheng, et al.. (2012). ISOLATION AND ANALYSIS OF 5' REGULATORY SEQUENCE OF VVICOR11 FROM COWBERRY. Acta Horticulturae. 107–111. 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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