Guocai Zhong

4.1k total citations · 1 hit paper
30 papers, 2.8k citations indexed

About

Guocai Zhong is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Guocai Zhong has authored 30 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Infectious Diseases and 8 papers in Epidemiology. Recurrent topics in Guocai Zhong's work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers) and Hepatitis B Virus Studies (6 papers). Guocai Zhong is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers) and Hepatitis B Virus Studies (6 papers). Guocai Zhong collaborates with scholars based in China, United States and India. Guocai Zhong's co-authors include Michael Farzan, Haimin Wang, Wenhui He, Wenhui Li, Zhiyi Jing, Yonghe Qi, Charles C. Bailey, Xiaozhong Peng, Huan Yan and Zhenchao Gao and has published in prestigious journals such as Nature Biotechnology, Biochemistry and Journal of Virology.

In The Last Decade

Guocai Zhong

28 papers receiving 2.8k citations

Hit Papers

Sodium taurocholate cotra... 2012 2026 2016 2021 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guocai Zhong China 17 1.7k 1.2k 721 702 432 30 2.8k
Jérôme Gouttenoire Switzerland 28 805 0.5× 1.4k 1.1× 577 0.8× 532 0.8× 218 0.5× 57 2.4k
Brian J. Thomson United Kingdom 31 1.6k 0.9× 889 0.7× 377 0.5× 480 0.7× 399 0.9× 79 3.1k
David R. McGivern United States 25 916 0.5× 940 0.8× 639 0.9× 378 0.5× 341 0.8× 44 2.0k
Viet Loan Dao Thi Germany 22 716 0.4× 1.0k 0.8× 951 1.3× 797 1.1× 389 0.9× 44 2.5k
Erik Depla Belgium 23 1.6k 0.9× 1.8k 1.5× 482 0.7× 308 0.4× 485 1.1× 48 2.7k
Xianfang Wu United States 20 551 0.3× 642 0.5× 972 1.3× 390 0.6× 672 1.6× 37 2.2k
Takayuki Murata Japan 34 1.7k 1.0× 433 0.4× 1.5k 2.1× 712 1.0× 788 1.8× 147 4.2k
Alissa M. Lancaster United States 10 546 0.3× 658 0.5× 1.9k 2.6× 374 0.5× 510 1.2× 11 3.0k
Peter Vanlandschoot Belgium 22 1.1k 0.6× 268 0.2× 696 1.0× 407 0.6× 804 1.9× 44 2.1k
Anne Louise France 21 756 0.4× 370 0.3× 381 0.5× 145 0.2× 637 1.5× 33 2.0k

Countries citing papers authored by Guocai Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Guocai Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guocai Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Guocai Zhong. A scholar is included among the top collaborators of Guocai Zhong 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 Guocai Zhong. Guocai Zhong 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
3.
Li, Jingtao, Guocai Zhong, Fengli Hu, et al.. (2024). ASPH dysregulates cell death and induces chemoresistance in hepatocellular carcinoma. Cancer Letters. 611. 217396–217396. 4 indexed citations
4.
Li, Yujun, Xu-Dong Hou, Haimin Wang, et al.. (2023). Evolution of SARS-CoV-2 Spikes shapes their binding affinities to animal ACE2 orthologs. Microbiology Spectrum. 11(6). e0267623–e0267623. 4 indexed citations
5.
Ren, Wenlin, Yu Zhang, Ziyi Wang, et al.. (2023). Evolution of Immune Evasion and Host Range Expansion by the SARS-CoV-2 B.1.1.529 (Omicron) Variant. mBio. 14(2). e0041623–e0041623. 11 indexed citations
6.
Li, Yujun, Zhaoyong Zhang, Haimin Wang, et al.. (2023). Broadly Effective ACE2 Decoy Proteins Protect Mice from Lethal SARS-CoV-2 Infection. Microbiology Spectrum. 11(4). e0110023–e0110023. 5 indexed citations
7.
Ren, Wenlin, Xiaohui Ju, Mingli Gong, et al.. (2022). Characterization of SARS-CoV-2 Variants B.1.617.1 (Kappa), B.1.617.2 (Delta), and B.1.618 by Cell Entry and Immune Evasion. mBio. 13(2). e0009922–e0009922. 23 indexed citations
8.
Ren, Wenlin, Jun Lan, Xiaohui Ju, et al.. (2021). Mutation Y453F in the spike protein of SARS-CoV-2 enhances interaction with the mink ACE2 receptor for host adaption. PLoS Pathogens. 17(11). e1010053–e1010053. 48 indexed citations
9.
Tran, Mai H., HaJeung Park, Christopher L. Nobles, et al.. (2021). A more efficient CRISPR-Cas12a variant derived from Lachnospiraceae bacterium MA2020. Molecular Therapy — Nucleic Acids. 24. 40–53. 29 indexed citations
10.
Ou, Tianling, Wenhui He, Brian D. Quinlan, et al.. (2021). Reprogramming of the heavy-chain CDR3 regions of a human antibody repertoire. Molecular Therapy. 30(1). 184–197. 10 indexed citations
11.
Guo, Yan, Wenhui He, Huihui Mou, et al.. (2021). An Engineered Receptor-Binding Domain Improves the Immunogenicity of Multivalent SARS-CoV-2 Vaccines. mBio. 12(3). 19 indexed citations
12.
Zhong, Guocai, Haimin Wang, Wenhui He, et al.. (2019). A reversible RNA on-switch that controls gene expression of AAV-delivered therapeutics in vivo. Nature Biotechnology. 38(2). 169–175. 75 indexed citations
13.
Mou, Huihui, Guocai Zhong, Matthew R. Gardner, et al.. (2018). Conditional Regulation of Gene Expression by Ligand-Induced Occlusion of a MicroRNA Target Sequence. Molecular Therapy. 26(5). 1277–1286. 23 indexed citations
14.
Chen, Shichang, Li-Hao Zhang, Zhang Guo, et al.. (2018). An Investigation and Comparison of the Blending of LDPE and PP with Different Intrinsic Viscosities of PET. Polymers. 10(2). 147–147. 25 indexed citations
15.
Zhong, Guocai, Haimin Wang, Yujun Li, Mai H. Tran, & Michael Farzan. (2017). Cpf1 proteins excise CRISPR RNAs from mRNA transcripts in mammalian cells. Nature Chemical Biology. 13(8). 839–841. 51 indexed citations
16.
Yan, Huan, Xiaozhong Peng, Wenhui He, et al.. (2013). Molecular Determinants of Hepatitis B and D Virus Entry Restriction in Mouse Sodium Taurocholate Cotransporting Polypeptide. Journal of Virology. 87(14). 7977–7991. 153 indexed citations
17.
Sun, Yinyan, Yonghe Qi, Wenqing Gao, et al.. (2013). Nonmuscle Myosin Heavy Chain IIA Is a Critical Factor Contributing to the Efficiency of Early Infection of Severe Fever with Thrombocytopenia Syndrome Virus. Journal of Virology. 88(1). 237–248. 93 indexed citations
18.
Wang, Jiaye, Wenting Song, Wenjiang Chen, et al.. (2011). Improved expression of secretory and trimeric proteins in mammalian cells via the introduction of a new trimer motif and a mutant of the tPA signal sequence. Applied Microbiology and Biotechnology. 91(3). 731–740. 42 indexed citations
19.
Zhong, Guocai, et al.. (2010). A sensitive HIV-1 envelope induced fusion assay identifies fusion enhancement of thrombin. Biochemical and Biophysical Research Communications. 391(4). 1780–1784. 5 indexed citations
20.
Zhong, Guocai, et al.. (1996). [The hepatitis A virus isolated and adapted in human diploid fibroblast cells (KMB17)].. PubMed. 18(1). 29–32. 2 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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