Yong‐Le Yang

1.2k total citations
32 papers, 807 citations indexed

About

Yong‐Le Yang is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Yong‐Le Yang has authored 32 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 21 papers in Animal Science and Zoology and 11 papers in Genetics. Recurrent topics in Yong‐Le Yang's work include Viral gastroenteritis research and epidemiology (21 papers), Animal Virus Infections Studies (21 papers) and Virus-based gene therapy research (11 papers). Yong‐Le Yang is often cited by papers focused on Viral gastroenteritis research and epidemiology (21 papers), Animal Virus Infections Studies (21 papers) and Virus-based gene therapy research (11 papers). Yong‐Le Yang collaborates with scholars based in China, Latvia and United States. Yong‐Le Yang's co-authors include Yao‐Wei Huang, Pan Qin, Bin Wang, Pengwei Zhao, Jiyong Zhou, Yan Liu, Yanhua Song, Bin Wang, Xiangbin Zhang and Dongdong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Virology.

In The Last Decade

Yong‐Le Yang

30 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Le Yang China 14 641 612 216 94 94 32 807
Huiyuan Jing China 11 327 0.5× 372 0.6× 230 1.1× 96 1.0× 94 1.0× 23 565
Puxian Fang China 17 561 0.9× 607 1.0× 304 1.4× 160 1.7× 200 2.1× 44 893
Zhou Shen China 12 280 0.4× 206 0.3× 115 0.5× 80 0.9× 61 0.6× 35 440
Qiaoya Zhang China 12 336 0.5× 407 0.7× 270 1.3× 28 0.3× 66 0.7× 26 470
Martina Bécares Spain 9 331 0.5× 213 0.3× 103 0.5× 129 1.4× 46 0.5× 13 526
Shiladitya Chattopadhyay India 15 416 0.6× 204 0.3× 74 0.3× 237 2.5× 213 2.3× 21 646
C A Gibson United States 12 246 0.4× 149 0.2× 189 0.9× 99 1.1× 40 0.4× 15 494
Jiangwei Song China 11 159 0.2× 135 0.2× 95 0.4× 54 0.6× 55 0.6× 29 295
Vinay Shivanna United States 13 386 0.6× 107 0.2× 74 0.3× 79 0.8× 47 0.5× 34 531
Dirk Jan E. Opstelten Netherlands 8 454 0.7× 341 0.6× 92 0.4× 103 1.1× 21 0.2× 8 658

Countries citing papers authored by Yong‐Le Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Le Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Le Yang. 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 Yong‐Le Yang. The network helps show where Yong‐Le Yang may publish in the future.

Co-authorship network of co-authors of Yong‐Le Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Le Yang. A scholar is included among the top collaborators of Yong‐Le Yang 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 Yong‐Le Yang. Yong‐Le Yang 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.
Cao, Hongtao, Yong‐Le Yang, Yangyang Sun, et al.. (2025). Characterization of two neutralizing monoclonal antibodies with conformational epitopes against porcine deltacoronavirus. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
2.
Wang, Bin, et al.. (2025). Genetic and Pathogenic Characterization of a Porcine Deltacoronavirus Strain Isolated in Zhejiang Province, China. Transboundary and Emerging Diseases. 2025(1). 4084814–4084814. 1 indexed citations
3.
Liu, Yang, Bo Dong, Yong‐Le Yang, et al.. (2025). Intestinal microbiota dynamics in piglets: the interplay with swine enteric coronavirus infections and implications for disease control. Animal Microbiome. 7(1). 107–107.
4.
Sun, Siqi, Yating Wang, Ying Shan, et al.. (2025). Development of a duplex real-time recombinase aided amplification assay for the simultaneous and rapid detection of PCV3 and PCV4. Virology Journal. 22(1). 23–23.
5.
Wang, Bin, Yong‐Le Yang, Jinxin Meng, et al.. (2025). A gut microbiota‐bile acid axis inhibits the infection of an emerging coronavirus by targeting its cellular receptor aminopeptidase N. iMeta. 4(5). e70061–e70061. 1 indexed citations
6.
Zhao, Guang‐Nian, et al.. (2024). Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction. Reproductive Biology and Endocrinology. 22(1). 58–58. 7 indexed citations
7.
Yang, Yong‐Le, Bin Wang, Wentao Li, et al.. (2024). Functional dissection of the spike glycoprotein S1 subunit and identification of cellular cofactors for regulation of swine acute diarrhea syndrome coronavirus entry. Journal of Virology. 98(4). e0013924–e0013924. 4 indexed citations
8.
Zhang, Mengjia, Hanyu Zhang, Hailong Ma, et al.. (2023). Generation and Characterization of Monoclonal Antibodies against Swine Acute Diarrhea Syndrome Coronavirus Spike Protein. International Journal of Molecular Sciences. 24(23). 17102–17102. 3 indexed citations
9.
Yang, Yong‐Le, Yixin Tang, Pan Qin, et al.. (2022). Bile acids promote the caveolae-associated entry of swine acute diarrhea syndrome coronavirus in porcine intestinal enteroids. PLoS Pathogens. 18(6). e1010620–e1010620. 24 indexed citations
10.
Yang, Yong‐Le, Yao‐Wei Huang, Karen Krueger, et al.. (2022). Development and Clinical Applications of a 5-Plex Real-Time RT-PCR for Swine Enteric Coronaviruses. Viruses. 14(7). 1536–1536. 24 indexed citations
11.
Qin, Pan, Pengwei Zhao, Yuqi Zhang, et al.. (2021). The porcine deltacoronavirus accessory protein NS6 is expressed in vivo and incorporated into virions. Virology. 556. 1–8. 11 indexed citations
12.
13.
Yang, Yong‐Le, et al.. (2020). Swine enteric alphacoronavirus (swine acute diarrhea syndrome coronavirus): An update three years after its discovery. Virus Research. 285. 198024–198024. 86 indexed citations
14.
15.
Yang, Yong‐Le, et al.. (2019). Porcine Torovirus (PToV)—A Brief Review of Etiology, Diagnostic Assays and Current Epidemiology. Frontiers in Veterinary Science. 6. 120–120. 18 indexed citations
16.
Yang, Yong‐Le, Yong-Qiang He, Pengwei Zhao, et al.. (2019). Specific recombinant proteins of porcine epidemic diarrhea virus are immunogenic, revealing their potential use as diagnostic markers. Veterinary Microbiology. 236. 108387–108387. 10 indexed citations
17.
Yang, Yong‐Le, et al.. (2018). Exopolysaccharides from an Ophiopogon japonicus endophyte inhibit proliferation and migration in MC-4 human gastric cancer cells. Translational Cancer Research. 7(6). 1567–1576. 1 indexed citations
18.
Wang, Bin, Yan Liu, Yong‐Le Yang, et al.. (2018). Porcine Deltacoronavirus Engages the Transmissible Gastroenteritis Virus Functional Receptor Porcine Aminopeptidase N for Infectious Cellular Entry. Journal of Virology. 92(12). 105 indexed citations
19.
Yang, Yong‐Le, et al.. (2017). pPeOp from Omphalia lapidescens Schroet induces cell cycle arrest and inhibits the migration of MC-4 gastric tumor cells. Oncology Letters. 14(1). 533–540. 4 indexed citations
20.
Shen, Bo, et al.. (2017). ADAM33 gene polymorphisms identified to be associated with asthma in a Chinese Li population. Biomedical Reports. 6(3). 323–328. 10 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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