Ning Shi

890 total citations
46 papers, 576 citations indexed

About

Ning Shi is a scholar working on Infectious Diseases, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Ning Shi has authored 46 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 16 papers in Molecular Biology and 10 papers in Animal Science and Zoology. Recurrent topics in Ning Shi's work include Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (10 papers) and Viral Infections and Vectors (9 papers). Ning Shi is often cited by papers focused on Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (10 papers) and Viral Infections and Vectors (9 papers). Ning Shi collaborates with scholars based in China, Czechia and Italy. Ning Shi's co-authors include Ming Duan, Maolin Zhang, Zhenhong Guan, Ningyi Jin, Xijun Yan, Bo Hu, Huijun Lu, Lixia Li, Xue Bai and Quan Liu and has published in prestigious journals such as Journal of Virology, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Ning Shi

42 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Shi China	16	188	155	141	135	128	46	576
Ching‐Dong Chang Taiwan	15	181 1.0×	187 1.2×	135 1.0×	112 0.8×	134 1.0×	40	574
Jingjing Pei China	14	174 0.9×	151 1.0×	160 1.1×	55 0.4×	106 0.8×	28	570
Bin Xiang China	17	177 0.9×	236 1.5×	306 2.2×	97 0.7×	235 1.8×	53	787
Ge Li China	13	148 0.8×	169 1.1×	92 0.7×	37 0.3×	70 0.5×	35	479
Jianhua Guo United States	16	275 1.5×	125 0.8×	336 2.4×	67 0.5×	208 1.6×	41	669
Tong-Yun Wang China	17	197 1.0×	138 0.9×	264 1.9×	144 1.1×	194 1.5×	25	581
Cun Zhang China	11	274 1.5×	156 1.0×	61 0.4×	102 0.8×	202 1.6×	44	544
Zhiyong Ma China	17	205 1.1×	151 1.0×	47 0.3×	102 0.8×	142 1.1×	35	530
Zhongbao Song China	16	316 1.7×	88 0.6×	77 0.5×	208 1.5×	345 2.7×	20	597

Countries citing papers authored by Ning Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ning Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Shi. A scholar is included among the top collaborators of Ning 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 Ning Shi. Ning Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gao, Yan, Xinxin Shi, Ning Shi, et al.. (2025). Signaling pathway of DNA replication and toll-like receptors was inhibited in C6/36 cells infected with Japanese encephalitis virus. Virology Journal. 22(1). 362–362.

Yan, Hongjian, et al.. (2025). Hsa_circ_0008085 acts as a miR-146a-5p sponge to suppress influenza a virus replication via modulating of TRAF6. International Immunopharmacology. 157. 114743–114743.

Wang, Yihe, et al.. (2024). LINC01197 inhibits influenza A virus replication by serving as a PABPC1 decoy. Veterinary Research. 55(1). 121–121. 2 indexed citations

Zhang, Liang, Yujun Liu, Ning Shi, et al.. (2024). Detection of TNF-α using the established ab-MPs-CLIA. Talanta. 285. 127301–127301. 3 indexed citations

Shi, Ning, Xinyu Cao, Xiangyu Zhu, et al.. (2022). Molecular and serological surveillance of Getah virus in the Xinjiang Uygur Autonomous Region, China, 2017–2020. Virologica Sinica. 37(2). 229–237. 17 indexed citations

Shi, Ning, Xiangyu Zhu, Xinyu Cao, et al.. (2021). Origin, genetic diversity, adaptive evolution and transmission dynamics of Getah virus. Transboundary and Emerging Diseases. 69(4). e1037–e1050. 23 indexed citations

Ha, Zhuo, Chengdong Yu, Changzhan Xie, et al.. (2021). Retrospective surveillance of porcine circovirus 4 in pigs in Inner Mongolia, China, from 2016 to 2018. Archives of Virology. 166(7). 1951–1959. 35 indexed citations

Liu, Hao, Xiaotong Liang, Haijun Wang, et al.. (2020). Molecular evidence of the spotted fever group Rickettsiae in ticks from Yunnan Province, Southwest China. Experimental and Applied Acarology. 80(3). 339–348. 18 indexed citations

Zhu, Xiangyu, et al.. (2020). Optimizing Soluble Expression and Inclusion Body Protein Renaturation of VP2 Protein of Mink Enteritis Virus. 41(6). 1–6. 1 indexed citations

10.

Zhu, Xiangyu, Qiumei Shi, Yang Wang, et al.. (2020). Molecular characteristics of the capsid protein VP2 gene of canine parvovirus type 2 amplified from raccoon dogs in Hebei province, China. Archives of Virology. 165(11). 2453–2459. 5 indexed citations

11.

Liu, Hao, et al.. (2020). Molecular survey of duck circovirus infection in poultry in southern and southwestern China during 2018 and 2019. BMC Veterinary Research. 16(1). 80–80. 18 indexed citations

12.

Liu, Hao, Lixia Li, Yu Liu, et al.. (2019). Rapid Visual Detection of Getah Virus Using a Loop-Mediated Isothermal Amplification Method. Vector-Borne and Zoonotic Diseases. 19(10). 741–746. 7 indexed citations

13.

Liu, Hao, Xu Zhang, Lixia Li, et al.. (2019). First isolation and characterization of Getah virus from cattle in northeastern China. BMC Veterinary Research. 15(1). 320–320. 50 indexed citations

14.

Deng, Xiaoyu, Jiali Zhang, Hao Liu, et al.. (2018). A multiplex PCR method for the simultaneous detection of three viruses associated with canine viral enteric infections. Archives of Virology. 163(8). 2133–2138. 15 indexed citations

15.

Shi, Ning, Ying Li, Chunyan Dong, et al.. (2016). Quantitative Proteome Profiling of Street Rabies Virus-Infected Mouse Hippocampal Synaptosomes. Current Microbiology. 73(3). 301–311. 9 indexed citations

16.

Liu, Hao, Bo Hu, Lei Zhang, et al.. (2016). Development of Reverse Transcription Loop-Mediated Isothermal Amplification for Rapid Detection of Batai Virus in Cattle and Mosquitoes. Vector-Borne and Zoonotic Diseases. 16(6). 415–422. 6 indexed citations

17.

Feng, Wenjing, et al.. (2016). Influenza a virus NS1 protein induced A20 contributes to viral replication by suppressing interferon-induced antiviral response. Biochemical and Biophysical Research Communications. 482(4). 1107–1113. 39 indexed citations

18.

Jian-jun, Zhao, Ning Shi, Yan-Gang Sun, et al.. (2015). Pathogenesis of canine distemper virus in experimentally infected raccoon dogs, foxes, and minks. Antiviral Research. 122. 1–11. 59 indexed citations

19.

Wei, Linyi, Jiuhong Wu, Guanqun Li, & Ning Shi. (2012). Cis-enone Resorcylic Acid Lactones (RALs) as Irreversible Protein Kinase Inhibitors. Current Pharmaceutical Design. 18(9). 1186–1198. 10 indexed citations

20.

Shi, Ning, et al.. (2005). Studies on the structure and activity of anti--HIV compounds in {\sl Desmos dumosus}. 40(7). 495–497. 1 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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