Da Shi

2.0k total citations
76 papers, 1.6k citations indexed

About

Da Shi is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Da Shi has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Animal Science and Zoology, 52 papers in Infectious Diseases and 32 papers in Genetics. Recurrent topics in Da Shi's work include Animal Virus Infections Studies (55 papers), Viral gastroenteritis research and epidemiology (45 papers) and Virus-based gene therapy research (31 papers). Da Shi is often cited by papers focused on Animal Virus Infections Studies (55 papers), Viral gastroenteritis research and epidemiology (45 papers) and Virus-based gene therapy research (31 papers). Da Shi collaborates with scholars based in China, Belgium and Japan. Da Shi's co-authors include Hongyan Shi, Jianfei Chen, Li Feng, Li Feng, Xiaobo Wang, Tomomi Takano, Wataru Higuchi, Tatsuo Yamamoto, Xin Zhang and Shizuka Yabe and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Virology.

In The Last Decade

Da Shi

73 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Shi China 23 1.1k 856 588 371 155 76 1.6k
Sidang Liu China 22 517 0.5× 469 0.5× 341 0.6× 261 0.7× 268 1.7× 91 1.3k
Guiqing Peng China 30 2.1k 1.9× 1.5k 1.8× 744 1.3× 510 1.4× 325 2.1× 78 2.9k
Dongbo Sun China 26 1.2k 1.1× 1.3k 1.5× 908 1.5× 198 0.5× 87 0.6× 91 1.9k
Naveen Kumar India 24 606 0.5× 188 0.2× 163 0.3× 386 1.0× 302 1.9× 86 1.7k
Sonia Zúñiga Spain 24 2.1k 1.9× 1.3k 1.5× 365 0.6× 707 1.9× 250 1.6× 47 2.7k
Chaoliang Leng China 19 668 0.6× 775 0.9× 451 0.8× 130 0.4× 51 0.3× 53 1.4k
Haim Grosfeld Israel 26 607 0.5× 238 0.3× 422 0.7× 826 2.2× 159 1.0× 48 2.3k
Yukie Katayama Japan 18 389 0.3× 249 0.3× 94 0.2× 677 1.8× 61 0.4× 80 1.5k
Feifei Yin China 19 432 0.4× 106 0.1× 95 0.2× 410 1.1× 152 1.0× 77 1.1k
Shan Zhao China 19 490 0.4× 218 0.3× 196 0.3× 224 0.6× 157 1.0× 49 993

Countries citing papers authored by Da Shi

Since Specialization
Citations

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

Fields of papers citing papers by Da Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Da Shi. A scholar is included among the top collaborators of Da 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 Da Shi. Da 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.
Zhang, Jiyu, Liaoyuan Zhang, Hongyan Shi, et al.. (2025). The swine acute diarrhea syndrome coronavirus spike protein promotes syncytial formation via upregulation of cellular cholesterol synthesis. mBio. 16(8). e0097625–e0097625.
2.
Sun, Jing, Da Shi, Huihua Zheng, et al.. (2025). Genetic Epidemiology of Porcine Epidemic Diarrhea Virus Circulating in China From 2010 to 2024: Characterization of Phylogenetic and Genetic Diversity of S1‐Based Genes. Journal of Medical Virology. 97(2). e70198–e70198. 4 indexed citations
3.
Wu, Yang, Yongrui Wang, Xuepeng Wang, et al.. (2024). Elevation of IL-8 secretion induced by PEDV infection via NF-κB signaling pathway. Frontiers in Cellular and Infection Microbiology. 14. 1422560–1422560. 3 indexed citations
4.
Zhang, Jiyu, Hongyan Shi, Liaoyuan Zhang, et al.. (2024). Swine acute diarrhea syndrome coronavirus nucleocapsid protein antagonizes the IFN response through inhibiting TRIM25 oligomerization and functional activation of RIG-I/TRIM25. Veterinary Research. 55(1). 44–44. 4 indexed citations
5.
Zhang, Jiyu, Liaoyuan Zhang, Dakai Liu, et al.. (2024). Helicase protein DDX11 as a novel antiviral factor promoting RIG-I-MAVS-mediated signaling pathway. mBio. 15(12). e0202824–e0202824. 1 indexed citations
6.
Wu, Jianxiao, Na Gao, Xiaorong Zhang, et al.. (2024). A novel antigenic epitope identified on the accessory protein NS6 of porcine deltacoronavirus. Virus Research. 341. 199329–199329.
7.
Liu, Dakai, Da Shi, Hongyan Shi, et al.. (2023). Cholesterol 25-Hydroxylase Suppresses Swine Acute Diarrhea Syndrome Coronavirus Infection by Blocking Spike Protein-Mediated Membrane Fusion. Viruses. 15(12). 2406–2406. 2 indexed citations
8.
Wang, Hongfeng, et al.. (2023). Isolation, characterization, and phylogenetic analysis of two new porcine parvovirus 1 isolates from Northern China. Virus Research. 339. 199247–199247. 3 indexed citations
9.
Qin, Yibin, Hongyan Shi, Jiyu Zhang, et al.. (2022). Identification and epitope mapping of swine acute diarrhea syndrome coronavirus accessory protein NS7a via monoclonal antibodies. Virus Research. 313. 198742–198742. 4 indexed citations
10.
11.
Liu, Jianbo, Ran Gao, Hongyan Shi, et al.. (2020). Development of a rapid immunochromatographic strip test for the detection of porcine epidemic diarrhea virus specific SIgA in colostrum. Journal of Virological Methods. 279. 113855–113855. 14 indexed citations
12.
Zhang, Jialin, Jianfei Chen, Ye Liu, et al.. (2019). Pathogenicity of porcine deltacoronavirus (PDCoV) strain NH and immunization of pregnant sows with an inactivated PDCoV vaccine protects 5‐day‐old neonatal piglets from virulent challenge. Transboundary and Emerging Diseases. 67(2). 572–583. 38 indexed citations
13.
Cao, Liyan, Mei Xue, Jianfei Chen, et al.. (2019). Porcine parvovirus replication is suppressed by activation of the PERK signaling pathway and endoplasmic reticulum stress-mediated apoptosis. Virology. 539. 1–10. 14 indexed citations
14.
Liu, Jianbo, Jianfei Chen, Xin Zhang, et al.. (2018). Preparation and identification of monoclonal antibodies against porcine SIgA SC fragment.. Zhongguo yufang shouyi xuebao. 40(5). 455–458. 1 indexed citations
15.
Sun, Dongbo, Hongyan Shi, Jianfei Chen, et al.. (2012). Generation of a mouse scFv library specific for porcine aminopeptidase N using the T7 phage display system. Journal of Virological Methods. 182(1-2). 99–103. 11 indexed citations
16.
Yamamoto, Tatsuo, Akihito Nishiyama, Tomomi Takano, et al.. (2010). Community-acquired methicillin-resistant Staphylococcus aureus: community transmission, pathogenesis, and drug resistance. Journal of Infection and Chemotherapy. 16(4). 225–254. 120 indexed citations
17.
Shi, Da. (2006). Tissue Culture and Plantlet Regeneration of Cassia bicapsularis Linn.. Chih Wu Sheng Li Hsueh T'ung Hsun.
18.
Shi, Da. (2003). A Study of Ecological and Morphological Characters on Tibet Zebu as a New Genetic Resource. 1 indexed citations
19.
Shi, Da. (2002). Relationship Between GSTM1 Gene Polymorphism and Genetic Susceptibility in Nasopharyngeal Carcinoma. 5 indexed citations
20.
Shi, Da. (1996). Condensation Reaction of Carbonyl with Acidic Methylene Compound Catalyzed by Potassium Fluoride on Alumina. Chinese Journal of Organic Chemistry. 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.

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