Hang Zhou

995 total citations
27 papers, 753 citations indexed

About

Hang Zhou is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Hang Zhou has authored 27 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Biomedical Engineering and 3 papers in Genetics. Recurrent topics in Hang Zhou's work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (7 papers) and 3D Printing in Biomedical Research (7 papers). Hang Zhou is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (7 papers) and 3D Printing in Biomedical Research (7 papers). Hang Zhou collaborates with scholars based in China, Canada and United States. Hang Zhou's co-authors include Gregory Stephanopoulos, Benjamin Wang, Gerald R. Fink, Jing‐Sheng Cheng, Jeremy J. Agresti, David A. Weitz, Keith E. J. Tyo, Jiahui Wu, Yingjie Liu and S. R. Wayne Chen and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Hang Zhou

21 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Zhou China 6 508 450 78 55 39 27 753
Nikita Mukhitov United States 12 194 0.4× 380 0.8× 41 0.5× 31 0.6× 53 1.4× 15 642
Tina Lebar Slovenia 12 641 1.3× 117 0.3× 21 0.3× 44 0.8× 34 0.9× 19 747
William J. Holtz United States 9 689 1.4× 224 0.5× 36 0.5× 60 1.1× 37 0.9× 15 906
Armin Baumschlager Switzerland 11 623 1.2× 152 0.3× 30 0.4× 146 2.7× 138 3.5× 14 846
Simone Haupt Germany 16 807 1.6× 238 0.5× 16 0.2× 144 2.6× 24 0.6× 25 1.1k
Zhang Chuan-ping China 12 261 0.5× 83 0.2× 67 0.9× 36 0.7× 88 2.3× 29 560
Jiawei Shao China 8 390 0.8× 204 0.5× 29 0.4× 232 4.2× 92 2.4× 13 632
Stéphane Emond France 14 425 0.8× 264 0.6× 91 1.2× 13 0.2× 61 1.6× 18 653
Felix Moser United States 12 668 1.3× 289 0.6× 16 0.2× 95 1.7× 108 2.8× 15 929

Countries citing papers authored by Hang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Zhou. A scholar is included among the top collaborators of Hang Zhou 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 Hang Zhou. Hang Zhou 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.
Xu, Shuting, Yanting Huang, Yiming Song, et al.. (2025). Innovating cell culture process development with deep learning‐powered robotic experimentation using the first I ndustrial S mart L ab F ramework. Biotechnology Progress. 41(6). e70051–e70051.
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Xie, Chu, Yuan-Tao Liu, Xiuchun Tian, et al.. (2025). Human herpesvirus 6B glycoprotein B postfusion structure, vulnerability mapping, and receptor recognition. PLoS Pathogens. 21(7). e1013300–e1013300. 1 indexed citations
4.
Zhang, Zijuan, et al.. (2025). A novel method and classification criteria for analyzing urine turbidity and its relationship with urine dry chemical parameters. PLoS ONE. 20(5). e0323351–e0323351. 1 indexed citations
5.
Sun, Yanjun, Qiongqiong Zhang, Yunfei He, et al.. (2025). Real‐Time Auto Controlling of Viable Cell Density in Perfusion Cultivation Aided by In‐Line Dielectric Spectroscopy With Segmented Adaptive PLS Model. Biotechnology and Bioengineering. 122(4). 858–869.
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Zhang, Zhijun, et al.. (2024). Development of generic metabolic Raman calibration models using solution titration in aqueous phase and data augmentation for in‐line cell culture analysis. Biotechnology and Bioengineering. 121(7). 2193–2204. 1 indexed citations
9.
Zheng, Xiaoyu, Cheng Liu, Fujian Zhou, et al.. (2024). Shale permeability and microstructural alternation during CO2 pre-fracturing: A mechanistic study. Physics of Fluids. 36(4). 3 indexed citations
10.
Sun, Tao, Liang Yu, Zichen Qian, et al.. (2024). Establishment of a semi-continuous scale-down clone screening model for intensified perfusion culture. Biotechnology Letters. 46(6). 1085–1093.
11.
Bai, Yun, Zheyu Wang, Gong Chen, Hang Zhou, & Weichang Zhou. (2024). Enhancing early-stage cell culture process development efficiency using an integrated approach of high-throughput miniaturized bioreactors and definitive screening design. Biochemical Engineering Journal. 203. 109217–109217. 2 indexed citations
12.
Huang, Ding, et al.. (2023). [Effect of uridine on mitochondrial function].. PubMed. 39(9). 3695–3709. 1 indexed citations
13.
Yan, Ge, et al.. (2023). Intensified perfusion culture (IPC) reduced recombinant protein fragmentation. Biotechnology Progress. 40(2). e3405–e3405. 2 indexed citations
14.
Cao, Yun, et al.. (2020). Establishment and optimization of a high-throughput mimic perfusion model in ambr® 15. Biotechnology Letters. 43(2). 423–433. 14 indexed citations
15.
Jo, Andrew, Hiofan Hoi, Hang Zhou, Manisha Gupta, & Carlo Montemagno. (2017). Single-molecule study of full-length NaChBac by planar lipid bilayer recording. PLoS ONE. 12(11). e0188861–e0188861. 4 indexed citations
16.
Wu, Hao, et al.. (2015). Genetic diversity analysis of male sterile lines for three-line hybrid rice mainly applied in Guangxi.. Nanfang nongye xuebao. 46(4). 550–554. 1 indexed citations
17.
Zhou, Hang, Jeremy J. Agresti, Gregory Stephanopoulos, et al.. (2014). Microfluidic high-throughput culturing of single cells for selection based on extracellular metabolite production or consumption. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
18.
Wang, Benjamin, Hang Zhou, Jeremy J. Agresti, et al.. (2014). Microfluidic high-throughput culturing of single cells for selection based on extracellular metabolite production or consumption. Nature Biotechnology. 32(5). 473–478. 270 indexed citations
19.
Zhou, Hang, Jing‐Sheng Cheng, Benjamin Wang, Gerald R. Fink, & Gregory Stephanopoulos. (2012). Xylose isomerase overexpression along with engineering of the pentose phosphate pathway and evolutionary engineering enable rapid xylose utilization and ethanol production by Saccharomyces cerevisiae. Metabolic Engineering. 14(6). 611–622. 221 indexed citations
20.
Tyo, Keith E. J., Hang Zhou, & Gregory Stephanopoulos. (2006). High-Throughput Screen for Poly-3-Hydroxybutyrate in Escherichia coli and Synechocystis sp. Strain PCC6803. Applied and Environmental Microbiology. 72(5). 3412–3417. 77 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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