Yuhong He

428 total citations
12 papers, 246 citations indexed

About

Yuhong He is a scholar working on Molecular Biology, Agronomy and Crop Science and Food Science. According to data from OpenAlex, Yuhong He has authored 12 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Agronomy and Crop Science and 3 papers in Food Science. Recurrent topics in Yuhong He's work include Gut microbiota and health (8 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Probiotics and Fermented Foods (3 papers). Yuhong He is often cited by papers focused on Gut microbiota and health (8 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Probiotics and Fermented Foods (3 papers). Yuhong He collaborates with scholars based in China and Macao. Yuhong He's co-authors include Naisheng Zhang, Caijun Zhao, Min Qiu, Xiaoyu Hu, Zhaoqi He, Yunhe Fu, Yihong Zhao, Lijuan Bao, Keyi Wu and Kaihe Xiang and has published in prestigious journals such as The FASEB Journal, Nutrients and Cell Reports.

In The Last Decade

Yuhong He

10 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhong He China 7 117 91 36 25 21 12 246
Kaihe Xiang China 7 128 1.1× 113 1.2× 38 1.1× 23 0.9× 26 1.2× 7 268
Senlin Zhu China 9 149 1.3× 104 1.1× 18 0.5× 19 0.8× 40 1.9× 14 260
Yangbin Xu China 5 86 0.7× 50 0.5× 28 0.8× 23 0.9× 23 1.1× 6 158
Zhenglei Wang China 10 120 1.0× 63 0.7× 27 0.8× 16 0.6× 27 1.3× 24 294
Zhengzhong Luo China 10 114 1.0× 116 1.3× 19 0.5× 35 1.4× 44 2.1× 25 313
Korhan Arslan Türkiye 10 80 0.7× 54 0.6× 16 0.4× 31 1.2× 108 5.1× 42 266
P Steinhagen Germany 7 107 0.9× 28 0.3× 18 0.5× 26 1.0× 31 1.5× 19 232
Fengfei Gu China 9 98 0.8× 127 1.4× 15 0.4× 36 1.4× 51 2.4× 18 229
Yusaku Tsugami Japan 13 96 0.8× 202 2.2× 52 1.4× 32 1.3× 77 3.7× 38 412
Tesfaye Worku China 9 117 1.0× 41 0.5× 10 0.3× 20 0.8× 58 2.8× 13 293

Countries citing papers authored by Yuhong He

Since Specialization
Citations

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

Fields of papers citing papers by Yuhong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhong He

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

All Works

12 of 12 papers shown
3.
4.
He, Yuhong, et al.. (2024). Microbiota–gut–brain axis in health and neurological disease: Interactions between gut microbiota and the nervous system. Journal of Cellular and Molecular Medicine. 28(18). e70099–e70099. 15 indexed citations
5.
He, Yuhong, Caijun Zhao, Wencheng Yang, et al.. (2024). Disturbances of the gut microbiota-derived tryptophan metabolites as key actors in vagotomy-induced mastitis in mice. Cell Reports. 43(8). 114585–114585. 3 indexed citations
6.
He, Zhaoqi, Wenjia Li, Yuhong He, et al.. (2024). Lactobacillus reuteri inhibits Staphylococcus aureus ‐induced mastitis by regulating oxytocin releasing and gut microbiota in mice. The FASEB Journal. 38(2). e23383–e23383. 8 indexed citations
7.
Zhao, Caijun, Xiaoyu Hu, Min Qiu, et al.. (2023). Sialic acid exacerbates gut dysbiosis-associated mastitis through the microbiota-gut-mammary axis by fueling gut microbiota disruption. Microbiome. 11(1). 78–78. 55 indexed citations
8.
Hu, Xiaoyu, Zhaoqi He, Caijun Zhao, et al.. (2023). Gut/rumen-mammary gland axis in mastitis: Gut/rumen microbiota–mediated “gastroenterogenic mastitis”. Journal of Advanced Research. 55. 159–171. 32 indexed citations
9.
Zhao, Caijun, Keyi Wu, Yihong Zhao, et al.. (2023). Gut microbiota-mediated secondary bile acid alleviates Staphylococcus aureus-induced mastitis through the TGR5-cAMP-PKA-NF-κB/NLRP3 pathways in mice. npj Biofilms and Microbiomes. 9(1). 8–8. 72 indexed citations
10.
He, Yuhong, et al.. (2023). ZEA mediates autophagy through the ROS-AMPK-m-TOR pathway to enhance the susceptibility of mastitis induced by Staphylococcus aureus in mice. Ecotoxicology and Environmental Safety. 266. 115548–115548. 5 indexed citations
11.
He, Zhaoqi, Caijun Zhao, Yuhong He, et al.. (2023). Enterogenic Stenotrophomonas maltophilia migrates to the mammary gland to induce mastitis by activating the calcium-ROS-AMPK-mTOR-autophagy pathway. Journal of Animal Science and Biotechnology. 14(1). 157–157. 8 indexed citations
12.
Fu, Yunhe, Yuhong He, Kaihe Xiang, et al.. (2022). The Role of Rumen Microbiota and Its Metabolites in Subacute Ruminal Acidosis (SARA)-Induced Inflammatory Diseases of Ruminants. Microorganisms. 10(8). 1495–1495. 47 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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