Sheng Niu

4.5k total citations · 1 hit paper
38 papers, 2.6k citations indexed

About

Sheng Niu is a scholar working on Infectious Diseases, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Sheng Niu has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 14 papers in Animal Science and Zoology and 11 papers in Molecular Biology. Recurrent topics in Sheng Niu's work include SARS-CoV-2 and COVID-19 Research (13 papers), Animal Virus Infections Studies (12 papers) and COVID-19 Clinical Research Studies (7 papers). Sheng Niu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (13 papers), Animal Virus Infections Studies (12 papers) and COVID-19 Clinical Research Studies (7 papers). Sheng Niu collaborates with scholars based in China, United States and Hong Kong. Sheng Niu's co-authors include Qihui Wang, Jianxun Qi, Yanfang Zhang, Lili Wu, Jinghua Yan, Chengpeng Qiao, Yu Hu, Guangwen Lu, Chunli Song and Kwok‐Yung Yuen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Sheng Niu

34 papers receiving 2.5k citations

Hit Papers

Structural and Functional Basis of SARS-CoV-2 Entry by Us... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k

Peers

Sheng Niu
Yu Hu China
Annika Kratzel Switzerland
Zhixia Mu China
Cody B. Jackson United States
Philip V’kovski Switzerland
Silvio Steiner Switzerland
Yu Hu China
Sheng Niu
Citations per year, relative to Sheng Niu Sheng Niu (= 1×) peers Yu Hu

Countries citing papers authored by Sheng Niu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Niu. A scholar is included among the top collaborators of Sheng Niu 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 Sheng Niu. Sheng Niu 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.
Tian, Yuyang, Junqing Sun, Zhimin Liu, et al.. (2025). Cross-species recognition of two porcine coronaviruses to their cellular receptor aminopeptidase N of dogs and seven other species. PLoS Pathogens. 21(1). e1012836–e1012836. 4 indexed citations
2.
Niu, Sheng, Zhennan Zhao, Zhimin Liu, et al.. (2024). Structural basis and analysis of hamster ACE2 binding to different SARS-CoV-2 spike RBDs. Journal of Virology. 98(3). e0115723–e0115723. 4 indexed citations
3.
Yang, Ruirui, Pu Han, Pengcheng Han, et al.. (2024). Molecular basis of hippopotamus ACE2 binding to SARS-CoV-2. Journal of Virology. 98(5). e0045124–e0045124. 2 indexed citations
4.
Chen, Xinxin, Xizhen Wang, Yi‐Ting Lin, et al.. (2024). Characterization of a novel recombinant NADC30‑like porcine reproductive and respiratory syndrome virus in Shanxi Province, China. Veterinary Research Communications. 48(3). 1879–1889. 3 indexed citations
6.
Wang, Ying, Jianfeng Deng, Xiaorong Wang, et al.. (2024). Isolation, identification, and proteomic analysis of outer membrane vesicles of Riemerella anatipestifer SX-1. Poultry Science. 103(6). 103639–103639. 3 indexed citations
7.
Jahejo, Ali Raza, et al.. (2023). Effect of avian influenza virus subtype H9N2 on the expression of complement-associated genes in chicken erythrocytes. British Poultry Science. 64(4). 467–475. 2 indexed citations
8.
Zhao, Runchu, Sheng Niu, Pu Han, et al.. (2023). Cross-species recognition of bat coronavirus RsYN04 and cross-reaction of SARS-CoV-2 antibodies against the virus. 动物学研究. 44(6). 1015–1025. 2 indexed citations
9.
Chen, Xinxin, Zhihong Niu, Lei Ma, et al.. (2023). Genomic Characterization and gE/gI-Deleted Strain Construction of Novel PRV Variants Isolated in Central China. Viruses. 15(6). 1237–1237. 4 indexed citations
10.
Su, Chao, Pengcheng Han, Bin Bai, et al.. (2022). Molecular Basis of Mink ACE2 Binding to SARS-CoV-2 and Its Mink-Derived Variants. Journal of Virology. 96(17). e0081422–e0081422. 20 indexed citations
11.
Jia, Yunfei, Sheng Niu, Yu Hu, et al.. (2022). Cross-reaction of current available SARS-CoV-2 MAbs against the pangolin-origin coronavirus GX/P2V/2017. Cell Reports. 41(11). 111831–111831. 3 indexed citations
12.
Niu, Sheng, Jia Wang, Bin Bai, et al.. (2021). Molecular basis of cross‐species ACE2 interactions with SARS‐CoV‐2‐like viruses of pangolin origin. The EMBO Journal. 40(16). e107786–e107786. 43 indexed citations
13.
Liu, Kefang, Shuguang Tan, Sheng Niu, et al.. (2020). Cross-species recognition of SARS-CoV-2 to bat ACE2. Proceedings of the National Academy of Sciences. 118(1). 66 indexed citations
14.
Wang, Qihui, Yanfang Zhang, Lili Wu, et al.. (2020). Structural and Functional Basis of SARS-CoV-2 Entry by Using Human ACE2. Cell. 181(4). 894–904.e9. 2018 indexed citations breakdown →
15.
Jahejo, Ali Raza, Nasir Rajput, Dildar Hussain Kalhoro, et al.. (2020). Recombinant glutathione-S-transferase A3 protein regulates the angiogenesis-related genes of erythrocytes in thiram induced tibial lesions. Research in Veterinary Science. 131. 244–253. 15 indexed citations
16.
Jahejo, Ali Raza, Sayed Haidar Abbas Raza, Mujahid Ali Shah, et al.. (2020). Integration of gene expression profile data to screen and verify immune-related genes of chicken erythrocytes involved in Marek's disease virus. Microbial Pathogenesis. 148. 104454–104454. 2 indexed citations
17.
Jahejo, Ali Raza, Sayed Haidar Abbas Raza, Mujahid Ali Shah, et al.. (2020). Screening of toll-like receptor signaling pathway-related genes and the response of recombinant glutathione S-transferase A3 protein to thiram induced apoptosis in chicken erythrocytes. Developmental & Comparative Immunology. 114. 103831–103831. 15 indexed citations
18.
Niu, Sheng, Ali Raza Jahejo, Xinkai Li, et al.. (2019). The expression of prostaglandins-related genes in erythrocytes of broiler chicken responds to thiram-induced tibial dyschondroplasia and recombinant glutathione-S-transferase A3 protein. Research in Veterinary Science. 124. 112–117. 15 indexed citations
19.
Jahejo, Ali Raza, Sheng Niu, Ding Zhang, et al.. (2019). Transcriptome analysis of MAPK signaling pathway and associated genes to angiogenesis in chicken erythrocytes on response to thiram-induced tibial lesions. Research in Veterinary Science. 127. 65–75. 17 indexed citations
20.
Niu, Sheng, Ali Raza Jahejo, Xin Li, et al.. (2018). Transcripts of antibacterial peptides in chicken erythrocytes infected with Marek’s disease virus. BMC Veterinary Research. 14(1). 363–363. 15 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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