Songtao Yang

1.5k total citations
44 papers, 932 citations indexed

About

Songtao Yang is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Songtao Yang has authored 44 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 14 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Songtao Yang's work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (13 papers) and Viral gastroenteritis research and epidemiology (7 papers). Songtao Yang is often cited by papers focused on Influenza Virus Research Studies (20 papers), Respiratory viral infections research (13 papers) and Viral gastroenteritis research and epidemiology (7 papers). Songtao Yang collaborates with scholars based in China, United States and Australia. Songtao Yang's co-authors include Xianzhu Xia, Donald D. Heistad, Frank M. Faraci, William G. Mayhan, Quan Liu, Xichen Zhang, Wensen Liu, Feng Wei, Tiecheng Wang and Yuwei Gao and has published in prestigious journals such as Stroke, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Songtao Yang

42 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songtao Yang China 19 364 344 197 169 161 44 932
Ilaria Barbieri Italy 24 340 0.9× 622 1.8× 377 1.9× 229 1.4× 365 2.3× 57 1.5k
Xiangmei Lin China 18 135 0.4× 392 1.1× 124 0.6× 107 0.6× 238 1.5× 61 1.1k
C. Griot Switzerland 21 284 0.8× 327 1.0× 120 0.6× 359 2.1× 148 0.9× 47 1.1k
Qiao Yang China 16 302 0.8× 232 0.7× 228 1.2× 90 0.5× 218 1.4× 95 961
Yihong Xiao China 18 250 0.7× 418 1.2× 489 2.5× 149 0.9× 218 1.4× 65 1.1k
Rahul K. Nelli United States 16 488 1.3× 383 1.1× 218 1.1× 311 1.8× 183 1.1× 35 1.0k
Renfu Yin China 18 276 0.8× 170 0.5× 202 1.0× 100 0.6× 242 1.5× 50 726
Christiane Weissenbacher‐Lang Austria 17 135 0.4× 270 0.8× 234 1.2× 38 0.2× 144 0.9× 54 841
Paul A. Sheehy Australia 19 170 0.5× 113 0.3× 123 0.6× 256 1.5× 244 1.5× 51 982
Atsushi Yasuda Japan 18 263 0.7× 180 0.5× 182 0.9× 46 0.3× 177 1.1× 52 965

Countries citing papers authored by Songtao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Songtao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songtao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Songtao Yang. A scholar is included among the top collaborators of Songtao 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 Songtao Yang. Songtao 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.
Wang, Hongyang, et al.. (2025). Genome-wide analysis of PHT gene family and their role in LP and salt stress in sweet potato. Plant Physiology and Biochemistry. 221. 109642–109642. 1 indexed citations
2.
Guo, Yidi, Hongli Jin, Ling Li, et al.. (2023). Bif-1c Attenuates Viral Proliferation by Regulating Autophagic Flux Blockade Induced by the Rabies Virus CVS-11 Strain in N2a Cells. Microbiology Spectrum. 11(3). e0307922–e0307922. 1 indexed citations
3.
Wang, Fang, et al.. (2022). Transcriptome analysis of sweet potato responses to potassium deficiency. BMC Genomics. 23(1). 655–655. 14 indexed citations
4.
Han, Li, Yongkun Zhao, Xuexing Zheng, et al.. (2020). Immunogenicity Assessment of Rift Valley Fever Virus Virus-Like Particles in BALB/c Mice. Frontiers in Veterinary Science. 7. 62–62. 6 indexed citations
5.
Cai, Jingjing, et al.. (2019). Pod-shattering characteristics differences between two groups of soybeans are associated with specific changes in gene expression. Functional & Integrative Genomics. 20(2). 201–210. 17 indexed citations
6.
Li, Guohua, Hongli Jin, Xin Nie, et al.. (2019). Development of a reverse genetics system for Japanese encephalitis virus strain SA14-14-2. Virus Genes. 55(4). 550–556. 6 indexed citations
7.
Feng, Jiayi, et al.. (2018). Analysis of evolution and genetic diversity of sweetpotato and its related different polyploidy wild species I. trifida using RAD-seq. BMC Plant Biology. 18(1). 181–181. 20 indexed citations
8.
9.
Zhao, Yongkun, Xuexing Zheng, Shihua He, et al.. (2018). Equine immunoglobulin F(ab′)2 fragments protect mice from Rift Valley fever virus infection. International Immunopharmacology. 64. 217–222. 4 indexed citations
10.
Liu, Jing, Zhiguang Ren, Hongmei Wang, et al.. (2018). Influenza virus-like particles composed of conserved influenza proteins and GPI-anchored CCL28/GM-CSF fusion proteins enhance protective immunity against homologous and heterologous viruses. International Immunopharmacology. 63. 119–128. 11 indexed citations
11.
Zhao, Yongkun, Cuiling Wang, Xuexing Zheng, et al.. (2018). Packaging of Rift Valley fever virus pseudoviruses and establishment of a neutralization assay method. Journal of Veterinary Science. 19(2). 200–200. 8 indexed citations
12.
Wang, Dong, Jinbao Gu, Rakesh David, et al.. (2017). Experimental reconstruction of double‐stranded break repair‐mediated plastid DNA insertion into the tobacco nucleus. The Plant Journal. 93(2). 227–234. 7 indexed citations
13.
Zhao, Yanli, Xiaohong Chen, Ying Ying, et al.. (2017). Isolation and phylogenetic analysis of three feline calicivirus strains from domestic cats in Jilin Province, China. Archives of Virology. 162(9). 2579–2589. 18 indexed citations
14.
Sang, Xiaoyu, Airong Wang, Tongjie Chai, et al.. (2015). Rapid emergence of a PB2-E627K substitution confers a virulent phenotype to an H9N2 avian influenza virus during adaption in mice. Archives of Virology. 160(5). 1267–1277. 26 indexed citations
15.
Yu, Zhijun, Kaihui Cheng, Weiyang Sun, et al.. (2015). A PB1 T296R substitution enhance polymerase activity and confer a virulent phenotype to a 2009 pandemic H1N1 influenza virus in mice. Virology. 486. 180–186. 23 indexed citations
16.
Ma, Jinzhu, Hualei Wang, Xuexing Zheng, et al.. (2014). CpG/Poly (I:C) mixed adjuvant priming enhances the immunogenicity of a DNA vaccine against eastern equine encephalitis virus in mice. International Immunopharmacology. 19(1). 74–80. 18 indexed citations
17.
Zhang, Kun, Zhaowei Zhang, Zhijun Yu, et al.. (2013). Domestic cats and dogs are susceptible to H9N2 avian influenza virus. Virus Research. 175(1). 52–57. 53 indexed citations
18.
Liang, Hongru, Quan Liu, Xuexing Zheng, et al.. (2013). Aptamers targeting rabies virus-infected cells inhibit viral replication both in vitro and in vivo. Virus Research. 173(2). 398–403. 25 indexed citations
19.
Yang, Songtao, Wei Zhang, Tāo Zhāng, et al.. (2010). Phylogenetic analysis of the VP2 gene of canine parvoviruses circulating in China. Virus Genes. 40(3). 397–402. 71 indexed citations
20.
Zhang, Wei, et al.. (2009). Inhibition of highly pathogenic avian influenza virus H5N1 replication by the small interfering RNA targeting polymerase A gene. Biochemical and Biophysical Research Communications. 390(3). 421–426. 25 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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