Huifang Bao

1.3k total citations
63 papers, 917 citations indexed

About

Huifang Bao is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Huifang Bao has authored 63 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Agronomy and Crop Science, 51 papers in Cardiology and Cardiovascular Medicine and 32 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Huifang Bao's work include Animal Disease Management and Epidemiology (55 papers), Viral Infections and Immunology Research (51 papers) and Vector-Borne Animal Diseases (32 papers). Huifang Bao is often cited by papers focused on Animal Disease Management and Epidemiology (55 papers), Viral Infections and Immunology Research (51 papers) and Vector-Borne Animal Diseases (32 papers). Huifang Bao collaborates with scholars based in China, United Kingdom and United States. Huifang Bao's co-authors include Zaixin Liu, Pu Sun, Yimei Cao, Xingwen Bai, Yingli Chen, Zengjun Lu, Pinghua Li, Yuanfang Fu, Xiangtao Liu and Dong Li and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Huifang Bao

60 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huifang Bao China 18 576 538 354 250 185 63 917
Yimei Cao China 19 669 1.2× 625 1.2× 433 1.2× 296 1.2× 151 0.8× 74 1.0k
Zengjun Lu China 18 664 1.2× 623 1.2× 441 1.2× 261 1.0× 166 0.9× 69 947
Pu Sun China 18 571 1.0× 540 1.0× 368 1.0× 216 0.9× 145 0.8× 66 817
I. Fernández-Sainz United States 19 661 1.1× 484 0.9× 384 1.1× 167 0.7× 164 0.9× 21 815
Xingwen Bai China 18 545 0.9× 514 1.0× 354 1.0× 198 0.8× 126 0.7× 60 763
Elena G. Sánchez Spain 14 668 1.2× 346 0.6× 515 1.5× 155 0.6× 285 1.5× 21 1.1k
Marisa Nogal Spain 11 628 1.1× 324 0.6× 454 1.3× 151 0.6× 251 1.4× 11 785
Elizabeth Reid United Kingdom 14 406 0.7× 308 0.6× 268 0.8× 206 0.8× 225 1.2× 16 893
Alison Burman United Kingdom 12 497 0.9× 496 0.9× 244 0.7× 276 1.1× 81 0.4× 21 749
Yuanfang Fu China 16 409 0.7× 384 0.7× 257 0.7× 170 0.7× 104 0.6× 53 627

Countries citing papers authored by Huifang Bao

Since Specialization
Citations

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

Fields of papers citing papers by Huifang Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huifang Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Huifang Bao. A scholar is included among the top collaborators of Huifang Bao 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 Huifang Bao. Huifang Bao 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.
Gao, Jie, Tao Wang, Yingju Xia, et al.. (2025). Enhancement of immune responses to classical swine fever virus E2 in mice by fusion or mixture with the porcine IL-28B. Applied Microbiology and Biotechnology. 109(1). 44–44.
2.
Liu, Jinyi, Jinlong Wang, Jing Zhang, et al.. (2025). Formononetin and mizoribine inhibit Porcine Reproductive and Respiratory Syndrome Virus replication in vitro. Frontiers in Nutrition. 11. 1501685–1501685. 2 indexed citations
4.
Li, Kun, Li Wang, Pinghua Li, et al.. (2023). Conserved antigen structures and antibody-driven variations on foot-and-mouth disease virus serotype A revealed by bovine neutralizing monoclonal antibodies. PLoS Pathogens. 19(11). e1011811–e1011811. 4 indexed citations
5.
Fu, Yuanfang, Dong Li, Yimei Cao, et al.. (2023). Development of a double-antibody sandwich ELISA for rapidly quantitative detection of residual non-structural proteins in inactivated foot-and-mouth disease virus vaccines. Journal of Virological Methods. 314. 114676–114676. 1 indexed citations
6.
Cao, Yimei, Kun Li, Guoqiang Zhu, et al.. (2022). Development and Validation of a Competitive ELISA Based on Bovine Monoclonal Antibodies for the Detection of Neutralizing Antibodies against Foot-and-Mouth Disease Virus Serotype A. Journal of Clinical Microbiology. 60(4). e0214221–e0214221. 16 indexed citations
7.
Zhang, Jing, Pu Sun, Jian Wang, et al.. (2022). The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes. Virology Journal. 19(1). 40–40. 10 indexed citations
8.
Li, Kun, Guoqiang Zhu, Shasha Zhou, et al.. (2021). Isolation and characterization of porcine monoclonal antibodies revealed two distinct serotype-independent epitopes on VP2 of foot-and-mouth disease virus. Journal of General Virology. 102(7). 5 indexed citations
9.
Li, Kun, Yimei Cao, Zixian Sun, et al.. (2021). Structures of Foot-and-mouth Disease Virus with neutralizing antibodies derived from recovered natural host reveal a mechanism for cross-serotype neutralization. PLoS Pathogens. 17(4). e1009507–e1009507. 18 indexed citations
10.
Ma, Xueqing, Pinghua Li, Pu Sun, et al.. (2020). Cellular Vimentin Interacts with Foot-and-Mouth Disease Virus Nonstructural Protein 3A and Negatively Modulates Viral Replication. Journal of Virology. 94(16). 17 indexed citations
11.
Li, Kun, Sheng Wang, Yimei Cao, et al.. (2019). Development of Foot-and-Mouth Disease Virus-Neutralizing Monoclonal Antibodies Derived From Plasmablasts of Infected Cattle and Their Germline Gene Usage. Frontiers in Immunology. 10. 286–286. 16 indexed citations
12.
Bai, Xingwen, Pinghua Li, Huifang Bao, et al.. (2015). Influence of Foot-and-Mouth Disease Virus O/CHN/Mya98/33-P Strain Leader Protein on Viral Replication and Host Innate Immunity. Viral Immunology. 28(7). 360–366. 4 indexed citations
14.
Chang, Yanyan, Yongxi Dou, Huifang Bao, et al.. (2014). Multiple microRNAs targeted to internal ribosome entry site against foot-and-mouth disease virus infection in vitro and in vivo. Virology Journal. 11(1). 1–1. 135 indexed citations
16.
Cao, Yimei, Zengjun Lu, Yanli Li, et al.. (2012). Poly(I:C) combined with multi-epitope protein vaccine completely protects against virulent foot-and-mouth disease virus challenge in pigs. Antiviral Research. 97(2). 145–153. 44 indexed citations
18.
Li, Dong, Zaixin Liu, Pu Sun, et al.. (2010). The efficacy of FMD vaccine reduced non-structural proteins with a mAb against 3B protein. Veterinary Research Communications. 34(5). 445–457. 5 indexed citations
19.
Liu, Guangqing, Zaixin Liu, Yingli Chen, et al.. (2004). Generation of an infectious cDNA clone of an FMDV strain isolated from swine. Virus Research. 104(2). 157–164. 24 indexed citations
20.
Guo, Huichen, Zaixin Liu, Shiqi Sun, et al.. (2004). Immune response in guinea pigs vaccinated with DNA vaccine of foot-and-mouth disease virus O/China99. Vaccine. 23(25). 3236–3242. 35 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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