Hanqing Liu

4.0k total citations
23 papers, 322 citations indexed

About

Hanqing Liu is a scholar working on Molecular Biology, Genetics and Atmospheric Science. According to data from OpenAlex, Hanqing Liu has authored 23 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Atmospheric Science. Recurrent topics in Hanqing Liu's work include Single-cell and spatial transcriptomics (4 papers), Atmospheric chemistry and aerosols (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Hanqing Liu is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Atmospheric chemistry and aerosols (4 papers) and Air Quality Monitoring and Forecasting (3 papers). Hanqing Liu collaborates with scholars based in China, United States and France. Hanqing Liu's co-authors include Yingzhou Wu, Song Sun, Jochen Weile, Frederick P. Roth, Roujia Li, Joseph R. Ecker, Cari Dowling, Galina Erikson, Isabella Farhy-Tselnicker and Maxim N. Shokhirev and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Hanqing Liu

21 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanqing Liu China 8 180 63 44 41 39 23 322
Wen-Wen Liu China 11 233 1.3× 25 0.4× 15 0.3× 46 1.1× 68 1.7× 29 482
Jinyou Liu China 9 158 0.9× 142 2.3× 25 0.6× 40 1.0× 42 1.1× 15 494
Raúl Lagos‐Cabré Chile 11 182 1.0× 40 0.6× 45 1.0× 33 0.8× 51 1.3× 13 419
Patrícia A. Pereira Brazil 14 199 1.1× 21 0.3× 31 0.7× 18 0.4× 19 0.5× 22 647
Soichiro Murakami Japan 12 167 0.9× 21 0.3× 18 0.4× 22 0.5× 26 0.7× 20 384
Young-Don Kwak United States 9 191 1.1× 39 0.6× 32 0.7× 74 1.8× 23 0.6× 10 399
Koki Kawaguchi Japan 11 174 1.0× 28 0.4× 13 0.3× 18 0.4× 36 0.9× 22 415
Carles A. Boix United States 9 448 2.5× 106 1.7× 197 4.5× 40 1.0× 58 1.5× 12 718
Yoshifumi Ashikawa Japan 9 162 0.9× 21 0.3× 18 0.4× 20 0.5× 26 0.7× 10 337
Donglai Sheng China 8 198 1.1× 32 0.5× 29 0.7× 40 1.0× 23 0.6× 14 356

Countries citing papers authored by Hanqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hanqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanqing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hanqing Liu. A scholar is included among the top collaborators of Hanqing 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 Hanqing Liu. Hanqing Liu 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
2.
Zhou, Jiyun, Chongyuan Luo, Hanqing Liu, et al.. (2025). Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia. Cell Genomics. 5(3). 100774–100774. 3 indexed citations
3.
Mukamel, Eran A., Hanqing Liu, M. Margarita Behrens, & Joseph R. Ecker. (2025). Cell-type-specific enrichment of somatic aneuploidy in the mammalian brain. Neuron. 113(17). 2814–2821.e2.
4.
Wu, Ziang, Hanqing Liu, Greg Yarwood, et al.. (2024). An improved framework for efficiently modeling organic aerosol (OA) considering primary OA evaporation and secondary OA formation from VOCs, IVOCs, and SVOCs. Environmental Science Atmospheres. 4(9). 1064–1078. 3 indexed citations
5.
Li, Chao, Hanqing Liu, Xianjin Huang, et al.. (2024). Preparation of a New Hexafluorobutanol‐Farnesol Based Supramolecular Solvent and Its Application in Microextraction of Sudan Dyes From Beverage and Water Samples. Journal of Separation Science. 47(20). e70001–e70001. 4 indexed citations
6.
Wang, Chenghui, Min Liang, Hanqing Liu, et al.. (2024). Mutation of CRYAB encoding a conserved mitochondrial chaperone and antiapoptotic protein causes hereditary optic atrophy. JCI Insight. 10(1). 4 indexed citations
7.
Tong, Huanhuan, et al.. (2024). Study of condensable particulate matter from stationary combustion sources: Source profiles, emissions, and impact on ambient fine particulate matter. The Science of The Total Environment. 954. 176222–176222. 3 indexed citations
8.
Chien, Jo-fan, Hanqing Liu, Bang-An Wang, et al.. (2024). Cell-type-specific effects of age and sex on human cortical neurons. Neuron. 112(15). 2524–2539.e5. 15 indexed citations
9.
Huang, Ling, Hanqing Liu, Greg Yarwood, et al.. (2023). Modeling of secondary organic aerosols (SOA) based on two commonly used air quality models in China: Consistent S/IVOCs contribution but large differences in SOA aging. The Science of The Total Environment. 903. 166162–166162. 17 indexed citations
10.
Liu, Hanqing, et al.. (2023). Review of Typical Interference Suppression Measures for Industrial Control Systems. 1(1). 49–57. 1 indexed citations
11.
Xie, Fangming, Ethan J. Armand, Zizhen Yao, et al.. (2023). Robust enhancer-gene regulation identified by single-cell transcriptomes and epigenomes. Cell Genomics. 3(7). 100342–100342. 7 indexed citations
12.
Wu, Yingzhou, Hanqing Liu, Roujia Li, et al.. (2021). Improved pathogenicity prediction for rare human missense variants. The American Journal of Human Genetics. 108(10). 1891–1906. 79 indexed citations
13.
Yu, Feng, Genhong Wang, Yu Yu, et al.. (2020). Co-Occurrence of the mcr-1.1 and mcr-3.7 Genes in a Multidrug-Resistant Escherichia coli Isolate from China. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Zheng, Jing, Qiong Zhao, Jiarong Chen, et al.. (2020). Mutations of MAP1B encoding a microtubule-associated phosphoprotein cause sensorineural hearing loss. JCI Insight. 5(23). 29 indexed citations
15.
Liu, Hanqing, et al.. (2019). Pruning the deep neural network by similar function. Journal of Physics Conference Series. 1187(4). 42006–42006. 1 indexed citations
16.
Zheng, Jing, Chaofan Zhang, Hanqing Liu, et al.. (2018). New SNP variants of MARVELD2 (DFNB49) associated with non-syndromic hearing loss in Chinese population. Journal of Zhejiang University SCIENCE B. 20(2). 164–169. 4 indexed citations
17.
Geng, Qifang, Jun He, Jie Yang, et al.. (2016). Development and characterization of microsatellite markers for Ulmus chenmoui (Ulmaceae), an endangered tree endemic to eastern China. Genetics and Molecular Research. 15(2). 2 indexed citations
18.
Jiang, Pingping, Meng Wang, Ling Xue, et al.. (2016). A Hypertension-Associated tRNAAla Mutation Alters tRNA Metabolism and Mitochondrial Function. Molecular and Cellular Biology. 36(14). 1920–1930. 49 indexed citations
19.
Liu, Hanqing, et al.. (2014). Removing strong reflections of coal seams based on the fast exponential pursuit algorithm. 2641–2645. 1 indexed citations
20.
Duan, Jin‐Ao, Pengfei Hou, Yuping Tang, et al.. (2010). A New Sesquiterpene and other Constituents from Saussurea Lappa Root. Natural Product Communications. 5(10). 1531–4. 10 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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