Xiao-Fang Hao

774 total citations
9 papers, 353 citations indexed

About

Xiao-Fang Hao is a scholar working on Animal Science and Zoology, Genetics and Infectious Diseases. According to data from OpenAlex, Xiao-Fang Hao has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Animal Science and Zoology, 6 papers in Genetics and 5 papers in Infectious Diseases. Recurrent topics in Xiao-Fang Hao's work include Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Xiao-Fang Hao is often cited by papers focused on Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Xiao-Fang Hao collaborates with scholars based in China and United States. Xiao-Fang Hao's co-authors include Yanjun Zhou, Guangzhi Tong, Tongqing An, Tianchao Wei, Hua‐Ji Qiu, Zhen Tian, Tao Zhou, Xiufang Yuan, Dongwan Yoo and Zhi‐Jun Tian and has published in prestigious journals such as Plant Biotechnology Journal, Veterinary Microbiology and Virus Research.

In The Last Decade

Xiao-Fang Hao

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao-Fang Hao China 7 302 285 220 53 45 9 353
G. Sala Italy 7 315 1.0× 284 1.0× 239 1.1× 74 1.4× 79 1.8× 13 403
Zhuo Ha China 12 212 0.7× 178 0.6× 184 0.8× 38 0.7× 75 1.7× 29 326
Lise Kirstine Kvisgaard Denmark 13 391 1.3× 370 1.3× 246 1.1× 56 1.1× 38 0.8× 24 430
Seung-Chai Kim South Korea 9 253 0.8× 183 0.6× 176 0.8× 33 0.6× 60 1.3× 29 280
Hanqin Shen China 10 234 0.8× 195 0.7× 157 0.7× 57 1.1× 79 1.8× 29 316
Emanuela Pileri Spain 8 302 1.0× 237 0.8× 177 0.8× 86 1.6× 80 1.8× 11 353
Judith Galeota United States 7 269 0.9× 255 0.9× 177 0.8× 72 1.4× 32 0.7× 9 348
Raymond RR Rowland United States 7 279 0.9× 212 0.7× 186 0.8× 70 1.3× 30 0.7× 9 330
Yo OKUDA Japan 10 241 0.8× 245 0.9× 277 1.3× 48 0.9× 43 1.0× 10 370
Kata Tombácz Hungary 8 248 0.8× 145 0.5× 175 0.8× 29 0.5× 106 2.4× 13 301

Countries citing papers authored by Xiao-Fang Hao

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Fang Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Fang Hao. 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 Xiao-Fang Hao. The network helps show where Xiao-Fang Hao may publish in the future.

Co-authorship network of co-authors of Xiao-Fang Hao

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

All Works

9 of 9 papers shown
1.
Hao, Xiao-Fang, Tai‐Fei Yu, Yan Fu, et al.. (2025). Somatic embryogenetic receptor kinase TaSERL2 regulates heat stress tolerance in wheat by influencing TaBZR2 protein stability and transcriptional activity. Plant Biotechnology Journal. 23(7). 2537–2553. 3 indexed citations
2.
Cao, Yimei, Zengjun Lu, Pu Sun, et al.. (2011). A pseudotype baculovirus expressing the capsid protein of foot-and-mouth disease virus and a T-Cell immunogen shows enhanced immunogenicity in mice. Virology Journal. 8(1). 77–77. 14 indexed citations
3.
Hao, Xiao-Fang, Zengjun Lu, Pu Sun, et al.. (2011). Phylogenetic analysis of porcine parvoviruses from swine samples in China. Virology Journal. 8(1). 320–320. 17 indexed citations
4.
Hao, Xiao-Fang, Zengjun Lu, Pu Sun, et al.. (2011). Polymorphic genetic characterization of the ORF7 gene of porcine reproductive and respiratory syndrome virus (PRRSV) in China. Virology Journal. 8(1). 14 indexed citations
5.
Wei, Tianchao, Zhi‐Jun Tian, Yanjun Zhou, et al.. (2011). Evaluation of the Pathogenicity of a Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus Variant in Piglets. Agricultural Sciences in China. 10(8). 1280–1291. 6 indexed citations
6.
Tian, Zhi‐Jun, Yanjun Zhou, Yan Xiao, et al.. (2010). Comparative genomic analysis of five pairs of virulent parental/attenuated vaccine strains of PRRSV. Veterinary Microbiology. 149(1-2). 104–112. 42 indexed citations
7.
Qi, Ting, et al.. (2010). Genetic evolution of equine influenza viruses isolated in China. Archives of Virology. 155(9). 1425–1432. 29 indexed citations
8.
Zhou, Yanjun, Hai Yu, Zhi‐Jun Tian, et al.. (2009). Genetic diversity of the ORF5 gene of porcine reproductive and respiratory syndrome virus isolates in China from 2006 to 2008. Virus Research. 144(1-2). 136–144. 37 indexed citations
9.
Zhou, Yanjun, Xiao-Fang Hao, Zhen Tian, et al.. (2008). Highly Virulent Porcine Reproductive and Respiratory Syndrome Virus Emerged in China. Transboundary and Emerging Diseases. 55(3-4). 152–164. 191 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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