Guohui Chuai

1.7k total citations · 1 hit paper
24 papers, 976 citations indexed

About

Guohui Chuai is a scholar working on Molecular Biology, Immunology and Business and International Management. According to data from OpenAlex, Guohui Chuai has authored 24 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Business and International Management. Recurrent topics in Guohui Chuai's work include CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (7 papers) and Single-cell and spatial transcriptomics (6 papers). Guohui Chuai is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (7 papers) and Single-cell and spatial transcriptomics (6 papers). Guohui Chuai collaborates with scholars based in China, United States and Hong Kong. Guohui Chuai's co-authors include Qi Liu, Dongyu Xue, Chenyu Zhu, Chi Zhou, Sheng Qu, Jifang Yan, Bin Duan, Qilong Wang, Feng Gu and Jia Wei and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Guohui Chuai

22 papers receiving 966 citations

Hit Papers

DeepCRISPR: optimized CRISPR guide RNA design by deep lea... 2018 2026 2020 2023 2018 100 200 300
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.

  1. 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 Career Trend Papers Cites
Guohui Chuai China 14 827 107 105 80 71 24 976
Sheng Qu China 4 422 0.5× 51 0.5× 51 0.5× 36 0.5× 42 0.6× 8 482
Edwin E. Jeng United States 8 793 1.0× 79 0.7× 88 0.8× 15 0.2× 83 1.2× 17 973
Chenyu Zhu China 14 644 0.8× 95 0.9× 13 0.1× 45 0.6× 61 0.9× 36 865
Joshua Meier United States 4 1.3k 1.6× 108 1.0× 246 2.3× 5 0.1× 96 1.4× 7 1.6k
Pawan K. Dhar India 16 701 0.8× 36 0.3× 55 0.5× 14 0.2× 86 1.2× 57 915
Kaitlyn Gayvert United States 8 377 0.5× 27 0.3× 257 2.4× 11 0.1× 41 0.6× 18 607
Jiecong Lin Hong Kong 10 405 0.5× 11 0.1× 63 0.6× 46 0.6× 42 0.6× 21 478
Jeffrey A. Ruffolo United States 11 579 0.7× 79 0.7× 54 0.5× 5 0.1× 18 0.3× 14 712
Eric R. Greene United States 8 1.0k 1.3× 74 0.7× 62 0.6× 2 0.0× 98 1.4× 9 1.3k
Grigory Khimulya Russia 5 978 1.2× 40 0.4× 129 1.2× 2 0.0× 101 1.4× 5 1.1k

Countries citing papers authored by Guohui Chuai

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Chuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Chuai

This figure shows the co-authorship network connecting the top 25 collaborators of Guohui Chuai. A scholar is included among the top collaborators of Guohui Chuai 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 Guohui Chuai. Guohui Chuai 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, Yiheng, Pu Li, Yuli Gao, et al.. (2025). Benchmarking algorithms for generalizable single-cell perturbation response prediction. Nature Methods. 23(2). 451–464. 1 indexed citations
2.
Cheng, Xiaojie, Chen Tang, Xueying Zhao, et al.. (2025). SpaLinker identifies phenotype-associated spatial tumor microenvironment features by integrating bulk and spatial sequencing data. Cell Genomics. 5(7). 100893–100893. 2 indexed citations
3.
Liao, Xiaolong, Qi Liu, & Guohui Chuai. (2025). PrimeNet: rational design of Prime editing pegRNAs by deep learning. Briefings in Bioinformatics. 26(3).
4.
Wei, Zhiting, et al.. (2024). Toward subtask-decomposition-based learning and benchmarking for predicting genetic perturbation outcomes and beyond. Nature Computational Science. 4(10). 773–785. 4 indexed citations
5.
Zou, Jiawei, et al.. (2024). Foundation models in molecular biology. Biophysics Reports. 10(0). 1–1. 2 indexed citations
6.
Wang, Wuke, Qinchang Chen, Peixiang Ma, et al.. (2024). Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models. Nature Communications. 15(1). 10024–10024. 7 indexed citations
7.
Chen, Qinchang, Guohui Chuai, Huan Guan, et al.. (2023). Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints. Nature Communications. 14(1). 7521–7521. 36 indexed citations
8.
Gao, Yuli, Chengyu Zhu, Zhiting Wei, et al.. (2023). Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition. Nature Machine Intelligence. 5(3). 236–249. 83 indexed citations
9.
Tang, Chen, Shaliu Fu, Bin Duan, et al.. (2023). Personalized tumor combination therapy optimization using the single-cell transcriptome. Genome Medicine. 15(1). 105–105. 12 indexed citations
10.
Li, Gaoyang, Shaliu Fu, Shuguang Wang, et al.. (2022). A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data. Genome biology. 23(1). 20–20. 55 indexed citations
11.
Chen, Qinchang, Guohui Chuai, Chao Zhang, Qing Zhang, & Qi Liu. (2022). Toward a molecular mechanism-based prediction of CRISPR-Cas9 targeting effects. Science Bulletin. 67(12). 1201–1204. 2 indexed citations
12.
Gong, Yukang, et al.. (2021). DeepReac+: deep active learning for quantitative modeling of organic chemical reactions. Chemical Science. 12(43). 14459–14472. 29 indexed citations
13.
Chen, Shaoqi, Dongyu Xue, Guohui Chuai, Qiang Yang, & Qi Liu. (2020). FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery. Bioinformatics. 36(22-23). 5492–5498. 55 indexed citations
14.
Duan, Bin, Chenyu Zhu, Guohui Chuai, et al.. (2020). Learning for single-cell assignment. Science Advances. 6(44). 20 indexed citations
15.
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
16.
Chuai, Guohui, et al.. (2019). Data imbalance in CRISPR off-target prediction. Briefings in Bioinformatics. 21(4). 1448–1454. 29 indexed citations
17.
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 →
18.
Yan, Jifang, Guohui Chuai, Qi Tao, et al.. (2017). MetaTopics: an integration tool to analyze microbial community profile by topic model. BMC Genomics. 18(S1). 962–962. 15 indexed citations
19.
Chuai, Guohui, Qilong Wang, & Qi Liu. (2016). In Silico Meets In Vivo : Towards Computational CRISPR-Based sgRNA Design. Trends in biotechnology. 35(1). 12–21. 94 indexed citations
20.
Chuai, Guohui, Fayu Yang, Jifang Yan, et al.. (2016). Deciphering relationship between microhomology and in-frame mutation occurrence in human CRISPR-based gene knockout. Molecular Therapy — Nucleic Acids. 5(6). e323–e323. 8 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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