Qi Liu

6.6k total citations · 1 hit paper
137 papers, 3.6k citations indexed

About

Qi Liu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Qi Liu has authored 137 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 25 papers in Computational Theory and Mathematics and 21 papers in Cancer Research. Recurrent topics in Qi Liu's work include CRISPR and Genetic Engineering (23 papers), Computational Drug Discovery Methods (22 papers) and Single-cell and spatial transcriptomics (21 papers). Qi Liu is often cited by papers focused on CRISPR and Genetic Engineering (23 papers), Computational Drug Discovery Methods (22 papers) and Single-cell and spatial transcriptomics (21 papers). Qi Liu collaborates with scholars based in China, United States and Hong Kong. Qi Liu's co-authors include Guohui Chuai, Chi Zhou, Chenyu Zhu, Ruixin Zhu, Jingchun Sun, Hua Xu, Yubo Zhou, Bin Duan, Dongyu Xue and Qiang Wei and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Qi Liu

126 papers receiving 3.5k 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, Dongyu Xue et al. profile →

Peers

Qi Liu

MB

CTM

CR

ONCOL

IMMUN

Leming Shi China

Mickaël Guedj France

Shanrong Zhao United States

Adam Maciejewski Poland

Yaron Turpaz United States

Dong Li China

Rengül Çetin-Atalay Türkiye

Yuri Nikolsky United States

Sivanesan Dakshanamurthy United States

Leming Shi United States

Leming Shi China

Qi Liu

2.0k ×0.8

MB

728 ×1.4

CTM

660 ×1.7

CR

571 ×1.5

ONCOL

207 ×0.6

IMMUN

Citations per year, relative to Qi Liu Qi Liu (= 1×) peers Leming Shi

Countries citing papers authored by Qi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Qi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Liu. A scholar is included among the top collaborators of Qi Liu 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 Qi Liu. Qi Liu 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:

20 of 20 papers shown

1.

Sheng, Yuling, Yan Li, Qi Liu, et al.. (2025). The pronounced cytotoxic effects of chimeric antigen receptor T cells targeting B7-H3 in organoids and liver xenografts derived from colorectal cancer patients. British Journal of Cancer. 133(7). 1056–1065. 1 indexed citations

2.

Ramadass, Karthik, Lianrui Zuo, Yike Li, et al.. (2025). Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study. JMIR Formative Research. 9. e70016–e70016.

3.

Wei, Zhiting, et al.. (2024). PerturBase: a comprehensive database for single-cell perturbation data analysis and visualization. Nucleic Acids Research. 53(D1). D1099–D1111. 7 indexed citations

4.

Zhang, Yixuan, et al.. (2024). scHybridBERT: integrating gene regulation and cell graph for spatiotemporal dynamics in single-cell clustering. Briefings in Bioinformatics. 25(2). 3 indexed citations

5.

Wang, Jing, Qi Liu, Kelly R. Barnett, et al.. (2023). Human SMARCA5 is continuously required to maintain nucleosome spacing. Molecular Cell. 83(4). 507–522.e6. 26 indexed citations

6.

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

7.

Shao, Peng, Qi Liu, & Hank H. Qi. (2023). KDM7 Demethylases: Regulation, Function and Therapeutic Targeting. Advances in experimental medicine and biology. 1433. 167–184. 3 indexed citations

8.

Zhang, Qinhu, Siguo Wang, Ying He, et al.. (2022). Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinformatics. 39(1). 9 indexed citations

9.

Lu, Yinyun, Hong Pan, Ke Rui, et al.. (2022). T-cell senescence: A crucial player in autoimmune diseases. Clinical Immunology. 248. 109202–109202. 25 indexed citations

10.

Wu, Mengshi, Huang Tan, Shaojun Pan, et al.. (2021). Plant DNA polymerases α and δ mediate replication of geminiviruses. Nature Communications. 12(1). 2780–2780. 37 indexed citations

11.

Wang, Meng, Yue Zhai, Cong Zhang, et al.. (2021). Elucidation of the dimeric interplay of dual MRAP2 proteins in the zebrafish. Journal of Cellular Physiology. 236(9). 6472–6480. 4 indexed citations

12.

Liu, Qi, Shengde Chen, Guobin Wang, & Yubin Lan. (2021). Drift Evaluation of a Quadrotor Unmanned Aerial Vehicle (UAV) Sprayer: Effect of Liquid Pressure and Wind Speed on Drift Potential Based on Wind Tunnel Test. Applied Sciences. 11(16). 7258–7258. 32 indexed citations

13.

Zhang, Biyu, Chen Tang, Yanli Yao, et al.. (2021). The tumor therapy landscape of synthetic lethality. Nature Communications. 12(1). 1275–1275. 46 indexed citations

14.

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

15.

Zhang, Lu, Qi Liu, Lin Ye, et al.. (2020). Novel Albumin Nanoparticle Enhanced the Anti-Insulin-Resistant-Hepatoma Activity of Metformin. SHILAP Revista de lepidopterología. 1 indexed citations

16.

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

17.

Zhang, Wei, Lijuan Ji, Yanan Chen, et al.. (2015). When drug discovery meets web search: Learning to Rank for ligand-based virtual screening. Journal of Cheminformatics. 7(1). 5–5. 30 indexed citations

18.

Zhao, Dong, Qi Liu, Ganggang Wang, et al.. (2014). Correlation between nitric oxide and early brain injury after subarachnoid hemorrhage. International Journal of Neuroscience. 125(7). 531–539. 12 indexed citations

19.

Li, Jin, Yihua Bei, Qi Liu, et al.. (2014). MicroRNA-221 is Required for Proliferation of Mouse Embryonic Stem Cells via P57 Targeting. Stem Cell Reviews and Reports. 11(1). 39–49. 9 indexed citations

20.

Huang, Qi, Haixiao Jin, Qi Liu, et al.. (2012). Proteochemometric Modeling of the Bioactivity Spectra of HIV-1 Protease Inhibitors by Introducing Protein-Ligand Interaction Fingerprint. PLoS ONE. 7(7). e41698–e41698. 18 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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