Fulong Nan

462 total citations
20 papers, 354 citations indexed

About

Fulong Nan is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Fulong Nan has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Animal Science and Zoology, 11 papers in Infectious Diseases and 11 papers in Genetics. Recurrent topics in Fulong Nan's work include Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (11 papers) and Viral gastroenteritis research and epidemiology (9 papers). Fulong Nan is often cited by papers focused on Animal Virus Infections Studies (12 papers), Virus-based gene therapy research (11 papers) and Viral gastroenteritis research and epidemiology (9 papers). Fulong Nan collaborates with scholars based in China and United Kingdom. Fulong Nan's co-authors include Huijun Lu, Zhuo Ha, Changzhan Xie, Xinyu Zhuang, Ningyi Jin, Mingyao Tian, Ning Yu, Ningyi Jin, Yanxin Qi and Maopeng Wang and has published in prestigious journals such as Frontiers in Microbiology, Poultry Science and PLoS neglected tropical diseases.

In The Last Decade

Fulong Nan

17 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fulong Nan China 11 203 195 164 96 69 20 354
Jiangwei Song China 11 135 0.7× 159 0.8× 95 0.6× 54 0.6× 55 0.8× 29 295
Yajuan Jiao China 8 141 0.7× 154 0.8× 85 0.5× 63 0.7× 34 0.5× 8 294
Jaïro Jaime Colombia 12 200 1.0× 138 0.7× 178 1.1× 39 0.4× 60 0.9× 46 332
Tuofan Li China 16 266 1.3× 258 1.3× 285 1.7× 185 1.9× 86 1.2× 42 541
Laura S. Ooms United States 7 93 0.5× 266 1.4× 180 1.1× 81 0.8× 84 1.2× 9 334
Likai Ji China 10 140 0.7× 142 0.7× 57 0.3× 50 0.5× 42 0.6× 38 264
Songlin Zeng China 6 331 1.6× 305 1.6× 230 1.4× 35 0.4× 62 0.9× 9 409
Inés Ruedas‐Torres Spain 11 182 0.9× 197 1.0× 91 0.6× 30 0.3× 48 0.7× 28 277
Mengmeng Zhao China 11 205 1.0× 213 1.1× 128 0.8× 71 0.7× 46 0.7× 38 329
Zhengchun Lu United States 11 183 0.9× 210 1.1× 78 0.5× 38 0.4× 106 1.5× 20 393

Countries citing papers authored by Fulong Nan

Since Specialization
Citations

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

Fields of papers citing papers by Fulong Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fulong Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Fulong Nan. A scholar is included among the top collaborators of Fulong Nan 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 Fulong Nan. Fulong Nan 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.
Zhao, Jixin, Guo‐Hua Liu, Jinxin Meng, et al.. (2025). Insights from metagenomics on microbial biosynthesis of vitamins B and K2 in chicken gut microbiota. Frontiers in Veterinary Science. 12. 1646825–1646825. 1 indexed citations
2.
Yang, Mengting, Xuan Wang, Rui Liu, et al.. (2025). Metagenomic analysis of bile acid biotransformation by gut microbiota in wild birds. Poultry Science. 104(12). 105956–105956.
3.
Zheng, Wen-Bin, Luyao Tang, Mengting Yang, et al.. (2025). Toxoplasma gondii disrupts intestinal microbiota and host metabolism in a rat model. PLoS neglected tropical diseases. 19(11). e0013768–e0013768.
4.
Zhang, Ping, Zheng Wang, Zelin Cui, et al.. (2024). Construction and immunological evaluation of recombinant adenovirus vaccines of new novel NADC34-PRRSV strains in pigs. Frontiers in Veterinary Science. 11. 1503526–1503526.
5.
Zhang, Xuancheng, Hualin Li, Ning Shi, et al.. (2023). 4-Octyl itaconate treatment inhibits mitochondrial dysfunction and ER stress via stimulating SIRT1 expression in vitro and attenuates osteoarthritis process in murine DMM model in vivo. Journal of Functional Foods. 102. 105450–105450. 1 indexed citations
6.
Zhang, Jiaqi, Wenchao Sun, Changzhan Xie, et al.. (2022). Immunological evaluation of recombination PRRSV GP3 and GP5 DNA vaccines in vivo. Frontiers in Cellular and Infection Microbiology. 12. 1016897–1016897. 6 indexed citations
7.
8.
Ha, Zhuo, Chengdong Yu, Changzhan Xie, et al.. (2021). Retrospective surveillance of porcine circovirus 4 in pigs in Inner Mongolia, China, from 2016 to 2018. Archives of Virology. 166(7). 1951–1959. 35 indexed citations
9.
Li, Cheng‐Hui, Yuan Meng, Ning Shi, et al.. (2021). Pathogenicity of Seneca Valley virus in pigs and detection in Culicoides from an infected pig farm. Virology Journal. 18(1). 209–209. 6 indexed citations
10.
Wang, Zheng, Zhuo Ha, Ying Zhang, et al.. (2021). Genetic characterization of a new NSP2-deletion porcine reproductive and Respiratory Syndrome Virus in China. Microbial Pathogenesis. 150. 104729–104729. 13 indexed citations
11.
Xie, Changzhan, Zhuo Ha, Han Zhang, et al.. (2020). Pathogenicity of porcine reproductive and respiratory syndrome virus (ORF5 RFLP 1-7-4 viruses) in China. Transboundary and Emerging Diseases. 67(5). 2065–2072. 20 indexed citations
12.
Ha, Zhuo, Jinfeng Li, Changzhan Xie, et al.. (2020). Prevalence, pathogenesis, and evolution of porcine circovirus type 3 in China from 2016 to 2019. Veterinary Microbiology. 247. 108756–108756. 11 indexed citations
13.
Zhang, He, Wenchao Sun, Pengpeng Xiao, et al.. (2020). Genetic evolution and epidemiological analysis of Seneca Valley virus (SVV) in China. Virus Research. 291. 198177–198177. 20 indexed citations
14.
Zhuang, Xinyu, Yanxin Qi, Maopeng Wang, et al.. (2020). mRNA Vaccines Encoding the HA Protein of Influenza A H1N1 Virus Delivered by Cationic Lipid Nanoparticles Induce Protective Immune Responses in Mice. Vaccines. 8(1). 123–123. 114 indexed citations
15.
16.
Xie, Changzhan, Zhuo Ha, Fulong Nan, et al.. (2019). Characterization of porcine reproductive and respiratory syndrome virus (ORF5 RFLP 1-7-4 viruses) in northern China. Microbial Pathogenesis. 140. 103941–103941. 28 indexed citations
17.
Ha, Zhuo, Jinfeng Li, Changzhan Xie, et al.. (2019). First detection and genomic characterization of porcine circovirus 3 in mosquitoes from pig farms in China. Veterinary Microbiology. 240. 108522–108522. 14 indexed citations
18.
Xie, Changzhan, Zhuo Ha, Wenchao Sun, et al.. (2019). Construction and immunological evaluation of recombinant adenovirus vaccines co-expressing GP3 and GP5 of EU-type porcine reproductive and respiratory syndrome virus in pigs. Journal of Veterinary Medical Science. 81(12). 1879–1886. 5 indexed citations
19.
Ha, Zhuo, Changzhan Xie, Jinfeng Li, et al.. (2018). Molecular detection and genomic characterization of porcine circovirus 3 in pigs from Northeast China. BMC Veterinary Research. 14(1). 321–321. 38 indexed citations
20.
Xu, Xiaohong, Jing Qian, Fulong Nan, et al.. (2018). Detection of viral components in exosomes derived from NDV-infected DF-1 cells and their promoting ability in virus replication. Microbial Pathogenesis. 128. 414–422. 21 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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