Yaorong Niu

805 total citations
11 papers, 479 citations indexed

About

Yaorong Niu is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Yaorong Niu has authored 11 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Infectious Diseases. Recurrent topics in Yaorong Niu's work include Gut microbiota and health (8 papers), Clinical Nutrition and Gastroenterology (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Yaorong Niu is often cited by papers focused on Gut microbiota and health (8 papers), Clinical Nutrition and Gastroenterology (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Yaorong Niu collaborates with scholars based in China, India and Indonesia. Yaorong Niu's co-authors include Xianghua Yan, Libao Ma, Chunlin Xie, Xinkai Wang, Baoyang Xu, Xiaofan Xu, Tao Yang, Min Shi, Lingli Chen and Qiliang Hou and has published in prestigious journals such as Journal of Nutrition, Frontiers in Microbiology and Cell Host & Microbe.

In The Last Decade

Yaorong Niu

11 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaorong Niu China 9 351 132 117 104 62 11 479
Qiliang Hou China 9 334 1.0× 151 1.1× 131 1.1× 74 0.7× 52 0.8× 14 473
Shijie Geng China 7 284 0.8× 83 0.6× 150 1.3× 96 0.9× 40 0.6× 7 411
Baoyang Xu China 12 262 0.7× 79 0.6× 62 0.5× 100 1.0× 50 0.8× 25 430
Ronghua Dai China 10 298 0.8× 77 0.6× 85 0.7× 158 1.5× 30 0.5× 11 478
Carlo Pinna Italy 11 214 0.6× 112 0.8× 61 0.5× 64 0.6× 93 1.5× 25 386
Emmanuelle Apper France 11 190 0.5× 116 0.9× 59 0.5× 58 0.6× 95 1.5× 29 368
Yimei Tang China 9 192 0.5× 66 0.5× 56 0.5× 68 0.7× 41 0.7× 14 311
Elizabeth A. Rettedal New Zealand 12 384 1.1× 118 0.9× 109 0.9× 48 0.5× 37 0.6× 14 542
Hao Ye China 11 220 0.6× 74 0.6× 33 0.3× 86 0.8× 93 1.5× 24 385
Weibing Fan China 3 225 0.6× 105 0.8× 90 0.8× 99 1.0× 27 0.4× 4 307

Countries citing papers authored by Yaorong Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yaorong Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaorong Niu

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

All Works

11 of 11 papers shown
2.
Niu, Yaorong, et al.. (2023). Multi‐Omics Analysis Reveals Sphingomyelin Accumulation, Glycerolipids Loss, and Disorders of Lipid Metabolism Regulated by Leucine Deprivation in the Liver of Mice. Molecular Nutrition & Food Research. 68(2). e2300567–e2300567. 2 indexed citations
3.
Zhang, Xuelei, Baoyang Xu, Zhenping Hou, et al.. (2022). Dietary ε-Polylysine Affects on Gut Microbiota and Plasma Metabolites Profiling in Mice. Frontiers in Nutrition. 9. 842686–842686. 10 indexed citations
4.
Xie, Chunlin, Xiaoyan Zhu, Baoyang Xu, et al.. (2022). Integrated analysis of multi-tissues lipidome and gut microbiome reveals microbiota-induced shifts on lipid metabolism in pigs. Animal nutrition. 10. 280–293. 23 indexed citations
5.
Zheng, Zilong, Xiuzhi Li, Lingling Sun, et al.. (2022). Lysine crotonylation regulates leucine-deprivation-induced autophagy by a 14-3-3ε-PPM1B axis. Cell Reports. 41(12). 111850–111850. 19 indexed citations
6.
Xie, Chunlin, Xinkai Wang, Baoyang Xu, et al.. (2021). Multi-omics analysis reveals gut microbiota-induced intramuscular fat deposition via regulating expression of lipogenesis-associated genes. Animal nutrition. 9. 84–99. 32 indexed citations
8.
Yan, Yiqin, Baoyang Xu, Xiaofan Xu, et al.. (2020). Modulation of Gut Microbial Community and Metabolism by Dietary Glycyl-Glutamine Supplementation May Favor Weaning Transition in Piglets. Frontiers in Microbiology. 10. 3125–3125. 31 indexed citations
9.
Hu, Jun, Libao Ma, Yangfan Nie, et al.. (2018). A Microbiota-Derived Bacteriocin Targets the Host to Confer Diarrhea Resistance in Early-Weaned Piglets. Cell Host & Microbe. 24(6). 817–832.e8. 214 indexed citations
10.
Hu, Jun, Lingli Chen, Yimei Tang, et al.. (2018). Standardized Preparation for Fecal Microbiota Transplantation in Pigs. Frontiers in Microbiology. 9. 1328–1328. 42 indexed citations
11.
Hu, Jun, Lingli Chen, Min Shi, et al.. (2018). Lactobacillus frumenti Facilitates Intestinal Epithelial Barrier Function Maintenance in Early-Weaned Piglets. Frontiers in Microbiology. 9. 897–897. 62 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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