Jingyun Ma

2.5k total citations
61 papers, 1.4k citations indexed

About

Jingyun Ma is a scholar working on Animal Science and Zoology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jingyun Ma has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Animal Science and Zoology, 25 papers in Infectious Diseases and 20 papers in Epidemiology. Recurrent topics in Jingyun Ma's work include Animal Virus Infections Studies (30 papers), Viral gastroenteritis research and epidemiology (20 papers) and Virus-based gene therapy research (19 papers). Jingyun Ma is often cited by papers focused on Animal Virus Infections Studies (30 papers), Viral gastroenteritis research and epidemiology (20 papers) and Virus-based gene therapy research (19 papers). Jingyun Ma collaborates with scholars based in China, United States and France. Jingyun Ma's co-authors include Qingmei Xie, Qiwen Wu, Yang Bai, Baoli Sun, Guanqun Zhang, Jun Ji, Xiujuan Zhao, Ling Zhou, Yuan Sun and Yingzuo Bi and has published in prestigious journals such as Journal of Virology, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Jingyun Ma

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyun Ma China 22 820 663 439 310 264 61 1.4k
Jue Liu China 19 743 0.9× 595 0.9× 515 1.2× 177 0.6× 430 1.6× 75 1.3k
Dachrit Nilubol Thailand 23 988 1.2× 914 1.4× 609 1.4× 300 1.0× 249 0.9× 68 1.4k
Yijun Du China 21 745 0.9× 673 1.0× 522 1.2× 218 0.7× 227 0.9× 71 1.3k
Roman M. Pogranichniy United States 20 758 0.9× 795 1.2× 430 1.0× 213 0.7× 178 0.7× 62 1.2k
Sidang Liu China 22 469 0.6× 517 0.8× 341 0.8× 228 0.7× 174 0.7× 91 1.3k
Hyoungjoon Moon South Korea 21 907 1.1× 1.0k 1.5× 583 1.3× 317 1.0× 211 0.8× 53 1.7k
Ana Paula Muterle Varela Brazil 18 541 0.7× 448 0.7× 294 0.7× 117 0.4× 147 0.6× 81 1.0k
Yufeng Li China 24 1.2k 1.5× 1.0k 1.6× 890 2.0× 153 0.5× 224 0.8× 90 1.7k
Ilaria Barbieri Italy 24 377 0.5× 622 0.9× 180 0.4× 229 0.7× 175 0.7× 57 1.5k
Hong‐Ying Chen China 22 672 0.8× 419 0.6× 488 1.1× 119 0.4× 301 1.1× 81 1.4k

Countries citing papers authored by Jingyun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jingyun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyun Ma. A scholar is included among the top collaborators of Jingyun Ma 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 Jingyun Ma. Jingyun Ma 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.
Chen, Fangqian, Xianlei Cai, Yuan Xu, et al.. (2025). A microfluidic tumor-on-chip platform deciphers hypoxia-driven FOXO3a/PD-L1 signaling in gastric cancer immunotherapy resistance. Materials Today Bio. 33. 101925–101925. 1 indexed citations
2.
Yan, Xiaoling, Xiaoli Zhang, Ling Zhou, et al.. (2025). Effects of SADS‐CoV accessory proteins NS3a, NS7a, and NS7b on viral pathogenicity: A multi‐omics investigation. PubMed. 2(3). e70015–e70015.
3.
Wan, Li, et al.. (2024). Oncolytic senecavirus A in tumor immunotherapy: Mechanisms, progress, and future directions. Virology. 603. 110338–110338. 1 indexed citations
4.
Han, Yutong, Ziqiao Wang, Fei Feng, et al.. (2024). TMPRSS13 promotes the cell entry of swine acute diarrhea syndrome coronavirus. Journal of Medical Virology. 96(6). e29712–e29712. 5 indexed citations
5.
Zhou, Ling, Cheng Li, Ruiyu Zhang, et al.. (2023). Identification of a receptor tyrosine kinase inhibitor CP-724714 inhibits SADS-CoV related swine diarrhea coronaviruses infection in vitro. Virologica Sinica. 38(5). 778–786. 5 indexed citations
6.
Chen, Weiguo, Xiangyu Zhang, Xiangyu Zhang, et al.. (2022). Semen extracellular vesicles mediate vertical transmission of subgroup J avian leukosis virus. Virologica Sinica. 37(2). 284–294. 11 indexed citations
7.
Wu, Zhiqiang, Weiguo Chen, Huanmin Zhang, et al.. (2021). Anti-CD81 antibody blocks vertical transmission of avian leukosis virus subgroup J. Veterinary Microbiology. 264. 109293–109293. 4 indexed citations
8.
Ma, Lei, Bihong Huang, Yujun Zhu, et al.. (2019). Point‐of‐care diagnostic assay for rapid detection of porcine deltacoronavirus using the recombinase polymerase amplification method. Transboundary and Emerging Diseases. 66(3). 1324–1331. 37 indexed citations
9.
Zhou, Ling, Yuan Sun, Tian Lan, et al.. (2018). Retrospective detection and phylogenetic analysis of swine acute diarrhoea syndrome coronavirus in pigs in southern China. Transboundary and Emerging Diseases. 66(2). 687–695. 60 indexed citations
10.
11.
Ma, Jingyun, et al.. (2018). Development of a rapid immunochromatographic assay for detection of antibodies against porcine epidemic diarrhea virus. Polish Journal of Veterinary Sciences. 21(1). 139–147. 7 indexed citations
12.
Cong, Feng, Xiangnan Liu, Wen Yuan, et al.. (2018). Development of a real time loop-mediated isothermal amplification method for detection of Senecavirus A. Journal of Virological Methods. 261. 98–103. 13 indexed citations
13.
Mai, Kaijie, et al.. (2017). The detection and phylogenetic analysis of porcine deltacoronavirus from Guangdong Province in Southern China. Transboundary and Emerging Diseases. 65(1). 166–173. 47 indexed citations
14.
Wu, Qiwen, Yang Bai, Ling Zhou, et al.. (2017). Phylogenetic and genome analysis of seven senecavirus A isolates in China. Transboundary and Emerging Diseases. 64(6). 2075–2082. 45 indexed citations
15.
Huang, Jianfei, Yiming Yan, Huanmin Zhang, et al.. (2017). Efficacy of an autophagy-targeted DNA vaccine against avian leukosis virus subgroup J. Vaccine. 35(5). 808–813. 15 indexed citations
16.
Liu, Yuanjia, Jun Ji, Feng Chen, et al.. (2014). Identification of a Chicken Anemia Virus Variant-RelatedGyrovirusin Stray Cats in China, 2012. BioMed Research International. 2014. 1–7. 21 indexed citations
17.
Liu, Yizhi, Jing Wang, Jun Ji, et al.. (2012). Phylogenetic diversity and genotypic complexity of H1N1 subtype swine influenza viruses isolated in Mainland China. Virology Journal. 9(1). 289–289. 6 indexed citations
18.
Ji, Jun, Feng Chen, Dingming Shu, et al.. (2011). Phylogenetic distribution and predominant genotype of the avian infectious bronchitis virus in China during 2008-2009. Virology Journal. 8(1). 184–184. 45 indexed citations
19.
Zhu, Ling, et al.. (2010). Complete genomic characterization of a Chinese isolate of porcine reproductive and respiratory syndrome virus. Veterinary Microbiology. 147(3-4). 274–282. 24 indexed citations
20.
Ma, Jingyun, et al.. (2004). Prokaryotic expression of VP1 gene of foot-and-mouth disease virus and detection of expression product immunogenicity. 34(3). 17–20. 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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