Yongfei Hu

6.5k total citations · 1 hit paper
95 papers, 3.2k citations indexed

About

Yongfei Hu is a scholar working on Molecular Biology, Molecular Medicine and Food Science. According to data from OpenAlex, Yongfei Hu has authored 95 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 31 papers in Molecular Medicine and 23 papers in Food Science. Recurrent topics in Yongfei Hu's work include Gut microbiota and health (31 papers), Antibiotic Resistance in Bacteria (30 papers) and Probiotics and Fermented Foods (13 papers). Yongfei Hu is often cited by papers focused on Gut microbiota and health (31 papers), Antibiotic Resistance in Bacteria (30 papers) and Probiotics and Fermented Foods (13 papers). Yongfei Hu collaborates with scholars based in China, United States and France. Yongfei Hu's co-authors include Baoli Zhu, George F. Gao, Fei Liu, Na Lv, Yuqing Feng, Jing Li, Xi Yang, Yanan Wang, Yuming Guo and Dan Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yongfei Hu

92 papers receiving 3.2k citations

Hit Papers

Modulation of bone remode... 2023 2026 2024 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Modulation of bone remodeling by the gut microbiota: a new therapy for osteoporosis
    2023 107 citations Yongfei Hu, Yuming Guo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongfei Hu China 32 1.5k 1.1k 713 569 528 95 3.2k
Abdelazeem M. Algammal Egypt 31 976 0.6× 798 0.7× 283 0.4× 673 1.2× 519 1.0× 79 3.1k
Mohammad Katouli Australia 34 1.1k 0.7× 595 0.5× 326 0.5× 577 1.0× 811 1.5× 156 3.7k
Torey Looft United States 21 1.5k 1.0× 498 0.4× 796 1.1× 768 1.3× 700 1.3× 59 3.0k
Patrick McGann United States 29 893 0.6× 1.7k 1.5× 575 0.8× 432 0.8× 389 0.7× 98 3.0k
Annemieke Smet Belgium 31 568 0.4× 766 0.7× 536 0.8× 398 0.7× 344 0.7× 105 2.7k
Xiao‐Ping Liao China 34 834 0.6× 2.5k 2.3× 1.4k 1.9× 839 1.5× 426 0.8× 199 4.1k
Liang Li China 26 589 0.4× 1.0k 0.9× 533 0.7× 288 0.5× 402 0.8× 109 2.3k
Blake Hanson United States 29 1.8k 1.2× 634 0.6× 188 0.3× 334 0.6× 1.1k 2.2× 93 3.7k

Countries citing papers authored by Yongfei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yongfei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongfei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfei Hu. A scholar is included among the top collaborators of Yongfei Hu 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 Yongfei Hu. Yongfei Hu 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, Yanan, Shulei Jia, Shaofu Qiu, et al.. (2025). A global atlas and drivers of antimicrobial resistance in Salmonella during 1900-2023. Nature Communications. 16(1). 4611–4611. 8 indexed citations
2.
Jia, Shulei, Xuebin Xu, Siqi Sun, et al.. (2025). Longitudinal Trends and Drivers of Antimicrobial Resistance in Campylobacter Worldwide (1954-2023). SHILAP Revista de lepidopterología. 5(1). 4 indexed citations
3.
Wang, Xiao, et al.. (2024). The effect of Lonicerae flos and Rhizoma curcumae longae extract on the intestinal development and function of broilers. Poultry Science. 103(11). 104225–104225. 2 indexed citations
4.
5.
Qiu, Wen, Yuxuan Xiao, Die Hu, et al.. (2024). A New Bacillus velezensis Strain CML532 Improves Chicken Growth Performance and Reduces Intestinal Clostridium perfringens Colonization. Microorganisms. 12(4). 771–771. 9 indexed citations
6.
Chang, Zhen, Junqing Sun, Gen Zhang, et al.. (2024). Bispecific antibodies targeting two glycoproteins on SFTSV exhibit synergistic neutralization and protection in a mouse model. Proceedings of the National Academy of Sciences. 121(24). 12 indexed citations
7.
Yang, Liuqing, Dongfei Han, Decai Jin, et al.. (2023). Soil physiochemical properties and bacterial community changes under long-term polycyclic aromatic hydrocarbon stress in situ steel plant soils. Chemosphere. 334. 138926–138926. 23 indexed citations
8.
Liu, Yan, Yuqing Feng, Xinyue Yang, et al.. (2023). Mining chicken ileal microbiota for immunomodulatory microorganisms. The ISME Journal. 17(5). 758–774. 31 indexed citations
9.
Feng, Yuqing, Dan Liu, Yan Liu, et al.. (2022). Host-genotype-dependent cecal microbes are linked to breast muscle metabolites in Chinese chickens. iScience. 25(6). 104469–104469. 13 indexed citations
10.
11.
Feng, Yuqing, Yanan Wang, Baoli Zhu, et al.. (2021). Metagenome-assembled genomes and gene catalog from the chicken gut microbiome aid in deciphering antibiotic resistomes. Communications Biology. 4(1). 1305–1305. 57 indexed citations
12.
Chu, Hongqian, Yongfei Hu, Bing Zhang, Zhaogang Sun, & Baoli Zhu. (2021). DNA Methyltransferase HsdM Induce Drug Resistance on Mycobacterium tuberculosis via Multiple Effects. Antibiotics. 10(12). 1544–1544. 10 indexed citations
13.
Cao, Jian, Yongfei Hu, Fei Liu, et al.. (2020). Metagenomic analysis reveals the microbiome and resistome in migratory birds. Microbiome. 8(1). 26–26. 148 indexed citations
14.
Alkasir, Rashad, Yanan Ma, Fei Liu, et al.. (2018). Characterization and Transcriptome Analysis of Acinetobacter baumannii Persister Cells. Microbial Drug Resistance. 24(10). 1466–1474. 30 indexed citations
15.
Xu, Yuhui, Fei Liu, Suting Chen, et al.. (2018). In vivo evolution of drug-resistant Mycobacterium tuberculosis in patients during long-term treatment. BMC Genomics. 19(1). 640–640. 17 indexed citations
16.
Hu, Yongfei, George F. Gao, & Baoli Zhu. (2017). The antibiotic resistome: gene flow in environments, animals and human beings. Frontiers of Medicine. 11(2). 161–168. 100 indexed citations
17.
Hu, Yongfei, Xi Yang, Jing Li, et al.. (2016). The Bacterial Mobile Resistome Transfer Network Connecting the Animal and Human Microbiomes. Applied and Environmental Microbiology. 82(22). 6672–6681. 257 indexed citations
18.
Lü, Na, Yongfei Hu, Liying Zhu, et al.. (2014). DNA microarray analysis reveals that antibiotic resistance-gene diversity in human gut microbiota is age related. Scientific Reports. 4(1). 4302–4302. 49 indexed citations
19.
20.
Hu, Yongfei, et al.. (2008). [Phage resistance of Corynebacterium crenatum conferred by the restriction and modification system cglI].. PubMed. 24(5). 760–5. 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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