Shengquan Chen

1.1k total citations
49 papers, 578 citations indexed

About

Shengquan Chen is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Shengquan Chen has authored 49 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Biophysics. Recurrent topics in Shengquan Chen's work include Single-cell and spatial transcriptomics (32 papers), Genomics and Chromatin Dynamics (14 papers) and Gene expression and cancer classification (11 papers). Shengquan Chen is often cited by papers focused on Single-cell and spatial transcriptomics (32 papers), Genomics and Chromatin Dynamics (14 papers) and Gene expression and cancer classification (11 papers). Shengquan Chen collaborates with scholars based in China, France and United States. Shengquan Chen's co-authors include Rui Jiang, Qiao Liu, Wing Hung Wong, Wanwen Zeng, Xiaoyang Chen, Xiaoyang Chen, Zijing Gao, Xuegong Zhang, Hairong Lv and Zhang Xuegong and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Shengquan Chen

42 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengquan Chen China 12 489 89 74 50 46 49 578
Bin Duan China 11 534 1.1× 52 0.6× 42 0.6× 23 0.5× 40 0.9× 19 631
Jeffrey Law United States 6 416 0.9× 30 0.3× 47 0.6× 19 0.4× 34 0.7× 13 530
Haotian Cui Canada 5 400 0.8× 59 0.7× 82 1.1× 34 0.7× 43 0.9× 9 537
Wanwen Zeng China 15 635 1.3× 86 1.0× 55 0.7× 15 0.3× 39 0.8× 24 712
Reza Mirzazadeh Sweden 11 658 1.3× 95 1.1× 42 0.6× 51 1.0× 16 0.3× 15 755
Xiangqi Bai United States 10 212 0.4× 71 0.8× 36 0.5× 73 1.5× 7 0.2× 20 421
Taylor E. Arnoff United States 6 172 0.4× 55 0.6× 20 0.3× 28 0.6× 72 1.6× 10 336
Hassaan Maan Canada 7 314 0.6× 52 0.6× 75 1.0× 26 0.5× 41 0.9× 9 480
Arthur Jones United States 7 267 0.5× 85 1.0× 102 1.4× 10 0.2× 50 1.1× 9 482
Hratch Baghdassarian United States 8 372 0.8× 17 0.2× 54 0.7× 35 0.7× 11 0.2× 13 452

Countries citing papers authored by Shengquan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shengquan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengquan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shengquan Chen. A scholar is included among the top collaborators of Shengquan Chen 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 Shengquan Chen. Shengquan Chen 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.
Yin, Qijin, Zijing Gao, Zhen Li, et al.. (2025). CREATE: cell-type-specific cis-regulatory element identification via discrete embedding. Nature Communications. 16(1). 4607–4607.
2.
Zhang, Yu, et al.. (2025). Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning. Nature Communications. 16(1). 6886–6886.
3.
Jiang, Qun, et al.. (2025). CASHeart: A database of single cells chromatin accessibility for the human heart. Quantitative Biology. 13(2). e90–e90.
4.
Li, Siyu, et al.. (2025). MethAgingDB: a comprehensive DNA methylation database for aging biology. Scientific Data. 12(1). 1216–1216.
5.
Li, Baosong, Shengquan Chen, Meng Xiao, et al.. (2024). Preparation of Ni–Mo/GO composite coatings with strengthened mechanical properties and enhanced corrosion resistance. Surface and Coatings Technology. 477. 130404–130404. 4 indexed citations
6.
Jiang, Qun, et al.. (2024). scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders. Nature Communications. 15(1). 2973–2973. 16 indexed citations
9.
Li, Sijie, et al.. (2024). scCASE: accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data. Nature Communications. 15(1). 1629–1629. 11 indexed citations
10.
Cao, Lan, Wenhao Zhang, Fan Yang, et al.. (2024). BIOTIC: a Bayesian framework to integrate single-cell multi-omics for transcription factor activity inference and improve identity characterization of cells. Briefings in Bioinformatics. 26(1). 1 indexed citations
11.
Li, Siyu, et al.. (2024). Accurate cell type annotation for single‐cell chromatin accessibility data via contrastive learning and reference guidance. Quantitative Biology. 12(1). 85–99. 4 indexed citations
12.
Li, Siyu, et al.. (2024). scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks. Interdisciplinary Sciences Computational Life Sciences. 17(1). 12–26. 2 indexed citations
13.
Li, Zhen, Xiaoyang Chen, Xuegong Zhang, Rui Jiang, & Shengquan Chen. (2023). Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics. Genome Research. 33(10). 1757–1773. 18 indexed citations
14.
Chen, Shengquan, et al.. (2023). Analysis and Comparison of House Price Prediction Based on XGboost and LightGBM. Advances in Economics Management and Political Sciences. 46(1). 55–61. 1 indexed citations
15.
Chen, Xiaoyang, Shengquan Chen, Shuang Song, et al.. (2022). Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nature Machine Intelligence. 4(2). 116–126. 58 indexed citations
16.
17.
Chen, Shengquan, Boheng Zhang, Xiaoyang Chen, Zhang Xuegong, & Rui Jiang. (2021). stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics. Bioinformatics. 37(Supplement_1). i299–i307. 66 indexed citations
18.
Chen, Shengquan, et al.. (2021). RA3 is a reference-guided approach for epigenetic characterization of single cells. Nature Communications. 12(1). 2177–2177. 43 indexed citations
19.
Liu, Qiao, Shengquan Chen, Rui Jiang, & Wing Hung Wong. (2021). Simultaneous deep generative modelling and clustering of single-cell genomic data. Nature Machine Intelligence. 3(6). 536–544. 78 indexed citations
20.
Xu, Min, Wanwen Zeng, Shengquan Chen, et al.. (2017). Predicting enhancers with deep convolutional neural networks. BMC Bioinformatics. 18(S13). 478–478. 73 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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