Zheng‐Li Shi

82.7k total citations · 13 hit papers
246 papers, 23.8k citations indexed

About

Zheng‐Li Shi is a scholar working on Infectious Diseases, Animal Science and Zoology and Immunology. According to data from OpenAlex, Zheng‐Li Shi has authored 246 papers receiving a total of 23.8k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Infectious Diseases, 72 papers in Animal Science and Zoology and 40 papers in Immunology. Recurrent topics in Zheng‐Li Shi's work include SARS-CoV-2 and COVID-19 Research (93 papers), Animal Virus Infections Studies (71 papers) and Viral Infections and Vectors (51 papers). Zheng‐Li Shi is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (93 papers), Animal Virus Infections Studies (71 papers) and Viral Infections and Vectors (51 papers). Zheng‐Li Shi collaborates with scholars based in China, United States and Australia. Zheng‐Li Shi's co-authors include Peng Zhou, Jie Cui, Fang Li, Ben Hu, Hua Guo, Lin‐Fa Wang, Xing‐Lou Yang, Shibo Jiang, Peter Daszak and Bei Li and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zheng‐Li Shi

233 papers receiving 23.2k citations

Hit Papers

Origin and evolution of p... 2005 2026 2012 2019 2018 2020 2005 2020 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng‐Li Shi China 53 17.7k 4.1k 3.5k 2.4k 2.2k 246 23.8k
Bart L. Haagmans Netherlands 74 17.2k 1.0× 4.7k 1.2× 3.5k 1.0× 2.5k 1.1× 2.2k 1.0× 245 24.6k
Marcel A. Müller Germany 58 23.9k 1.3× 3.6k 0.9× 4.8k 1.4× 2.4k 1.0× 4.6k 2.1× 140 31.4k
Fang Li China 48 16.3k 0.9× 3.9k 1.0× 4.2k 1.2× 1.6k 0.7× 2.3k 1.1× 148 21.2k
Jasper Fuk‐Woo Chan Hong Kong 73 14.6k 0.8× 1.8k 0.4× 3.2k 0.9× 1.9k 0.8× 2.0k 0.9× 319 27.7k
Kwok‐Hung Chan Hong Kong 74 15.8k 0.9× 4.7k 1.2× 2.0k 0.6× 1.8k 0.7× 1.5k 0.7× 223 23.0k
Weifeng Shi China 39 15.4k 0.9× 1.5k 0.4× 2.9k 0.8× 1.3k 0.5× 3.6k 1.7× 212 25.7k
Stanley Perlman United States 83 24.0k 1.4× 5.3k 1.3× 5.5k 1.6× 5.2k 2.2× 6.3k 2.9× 331 34.7k
Shibo Jiang China 86 19.6k 1.1× 3.8k 0.9× 6.9k 2.0× 4.1k 1.7× 1.7k 0.8× 496 28.8k
Alexander E. Gorbalenya Netherlands 78 15.9k 0.9× 7.5k 1.9× 6.6k 1.9× 1.8k 0.7× 992 0.5× 181 27.5k
John Ziebuhr Germany 50 12.5k 0.7× 4.3k 1.1× 4.2k 1.2× 1.6k 0.7× 1.0k 0.5× 113 18.0k

Countries citing papers authored by Zheng‐Li Shi

Since Specialization
Citations

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

Fields of papers citing papers by Zheng‐Li Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng‐Li Shi. 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 Zheng‐Li Shi. The network helps show where Zheng‐Li Shi may publish in the future.

Co-authorship network of co-authors of Zheng‐Li Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng‐Li Shi. A scholar is included among the top collaborators of Zheng‐Li Shi 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 Zheng‐Li Shi. Zheng‐Li Shi 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, Jingjing, Banghui Liu, Zexuan Li, et al.. (2025). SARS-related coronavirus S-protein structures reveal synergistic RBM interactions underpinning high-affinity human ACE2 binding. Science Advances. 11(11). eadr8772–eadr8772. 3 indexed citations
2.
Quan, Xiongzhi, et al.. (2024). Enhancing human ACE2 expression in mouse models to improve COVID ‐19 research. FEBS Open Bio. 15(2). 324–334.
3.
Chen, Ying, Xi Liu, Jiangnan Zheng, et al.. (2023). N-linked glycoproteins and host proteases are involved in swine acute diarrhea syndrome coronavirus entry. Journal of Virology. 97(10). e0091623–e0091623. 3 indexed citations
4.
Chen, Ying, Ren-Di Jiang, Qi Wang, et al.. (2022). Lethal Swine Acute Diarrhea Syndrome Coronavirus Infection in Suckling Mice. Journal of Virology. 96(17). e0006522–e0006522. 11 indexed citations
5.
Guo, Hua, Ang Li, Haofeng Lin, et al.. (2022). The Glycan-Binding Trait of the Sarbecovirus Spike N-Terminal Domain Reveals an Evolutionary Footprint. Journal of Virology. 96(15). e0095822–e0095822. 9 indexed citations
6.
Wang, Xi, et al.. (2022). A 1-year longitudinal study on COVID-19 convalescents reveals persistence of anti-SARS-CoV-2 humoral and cellular immunity. Emerging Microbes & Infections. 11(1). 902–913. 10 indexed citations
7.
Yang, Yong, Xi Wang, Wei Zhang, et al.. (2021). Serological investigation of asymptomatic cases of SARS-CoV-2 infection reveals weak and declining antibody responses. Emerging Microbes & Infections. 10(1). 905–912. 14 indexed citations
8.
Söderlund‐Venermo, Maria, Anupam Varma, Deyin Guo, et al.. (2021). World Society for Virology first international conference: Tackling global virus epidemics. Virology. 566. 114–121. 2 indexed citations
9.
You, Zhang, Ben Hu, Bernard Agwanda, et al.. (2021). Viromes and surveys of RNA viruses in camel-derived ticks revealing transmission patterns of novel tick-borne viral pathogens in Kenya. Emerging Microbes & Infections. 10(1). 1975–1987. 24 indexed citations
10.
Zhang, Yufei, Kun Huang, Ting Wang, et al.. (2021). SARS-CoV-2 Rapidly Adapts in Aged BALB/c Mice and Induces Typical Pneumonia. Journal of Virology. 95(11). 28 indexed citations
11.
Cheng, Hongwei, et al.. (2020). Circular RNA Circ_0025033 Promotes the Evolvement of Ovarian Cancer Through the Regulation of miR-330-5p/KLK4 Axis. SHILAP Revista de lepidopterología.
12.
Tian, Xiaolong, Cheng Li, Ailing Huang, et al.. (2020). Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody. Emerging Microbes & Infections. 9(1). 382–385. 838 indexed citations breakdown →
13.
Li, Bei, Yan Zhu, Xing‐Lou Yang, et al.. (2020). Discovery of Bat Coronaviruses through Surveillance and Probe Capture-Based Next-Generation Sequencing. mSphere. 5(1). 82 indexed citations
14.
Guo, Hua, Bingjie Hu, Xing‐Lou Yang, et al.. (2020). Evolutionary Arms Race between Virus and Host Drives Genetic Diversity in Bat Severe Acute Respiratory Syndrome-Related Coronavirus Spike Genes. Journal of Virology. 94(20). 71 indexed citations
15.
Wang, Ning, Chuming Luo, Haizhou Liu, et al.. (2019). Characterization of a New Member of Alphacoronavirus with Unique Genomic Features in Rhinolophus Bats. Viruses. 11(4). 379–379. 23 indexed citations
16.
Luo, Yun, Bei Li, Ren-Di Jiang, et al.. (2018). Longitudinal Surveillance of Betacoronaviruses in Fruit Bats in Yunnan Province, China During 2009–2016. Virologica Sinica. 33(1). 87–95. 20 indexed citations
17.
Yang, Xing‐Lou, Ben Hu, Bo Wang, et al.. (2015). Isolation and Characterization of a Novel Bat Coronavirus Closely Related to the Direct Progenitor of Severe Acute Respiratory Syndrome Coronavirus. Journal of Virology. 90(6). 3253–3256. 167 indexed citations
18.
Zhou, Peng, Zhenggang Han, Lin‐Fa Wang, & Zheng‐Li Shi. (2009). Immunogenicity difference between the SARS coronavirus and the bat SARS-like coronavirus spike (S) proteins. Biochemical and Biophysical Research Communications. 387(2). 326–329. 6 indexed citations
19.
Li, Wendong, Zheng‐Li Shi, Meng Yu, et al.. (2005). Bats Are Natural Reservoirs of SARS-Like Coronaviruses. Science. 310(5748). 676–679. 1780 indexed citations breakdown →
20.
Shi, Zheng‐Li, et al.. (2000). Study of white spot syndrome baculovirus infection process in Penaeus monodon by in situ hybridization.. 16(3). 242–246. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026