Huibin Tian

667 total citations
37 papers, 497 citations indexed

About

Huibin Tian is a scholar working on Molecular Biology, Genetics and Biochemistry. According to data from OpenAlex, Huibin Tian has authored 37 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Genetics and 12 papers in Biochemistry. Recurrent topics in Huibin Tian's work include Lipid metabolism and biosynthesis (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Cancer-related molecular mechanisms research (8 papers). Huibin Tian is often cited by papers focused on Lipid metabolism and biosynthesis (12 papers), Genetic and phenotypic traits in livestock (8 papers) and Cancer-related molecular mechanisms research (8 papers). Huibin Tian collaborates with scholars based in China, United States and Estonia. Huibin Tian's co-authors include Jun Luo, Huifen Xu, Juan J. Loor, Massimo Bionaz, Hengbo Shi, Wangsheng Zhao, Yuxin Yang, Ning Song, Lian Huang and Jiao Wu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Journal of Dairy Science.

In The Last Decade

Huibin Tian

32 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huibin Tian China 14 280 191 132 104 93 37 497
Xianzi Lin China 7 319 1.1× 294 1.5× 76 0.6× 134 1.3× 124 1.3× 8 511
Xiaoming Hou China 14 292 1.0× 133 0.7× 174 1.3× 70 0.7× 74 0.8× 36 551
Qiuya He China 12 148 0.5× 127 0.7× 83 0.6× 83 0.8× 67 0.7× 25 320
Ye Lin China 13 262 0.9× 107 0.6× 143 1.1× 84 0.8× 61 0.7× 26 509
Dawei Yao China 15 460 1.6× 386 2.0× 185 1.4× 220 2.1× 168 1.8× 27 837
Mark A. Cuff United Kingdom 6 285 1.0× 55 0.3× 102 0.8× 48 0.5× 81 0.9× 6 507
Yongqing Yi China 8 177 0.6× 113 0.6× 48 0.4× 41 0.4× 44 0.5× 9 318
Xibi Fang China 13 204 0.7× 190 1.0× 144 1.1× 39 0.4× 32 0.3× 44 401
Heather Mangian United States 9 188 0.7× 97 0.5× 91 0.7× 23 0.2× 69 0.7× 15 438
Yanhua Li China 10 142 0.5× 92 0.5× 190 1.4× 15 0.1× 32 0.3× 24 382

Countries citing papers authored by Huibin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Huibin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huibin Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Huibin Tian. A scholar is included among the top collaborators of Huibin Tian 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 Huibin Tian. Huibin Tian 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.
2.
Zhao, Liming, Fadi Li, Xinshu Zhang, et al.. (2025). RNA-Seq and WGCNA Identify Key Regulatory Modules and Genes Associated with Water-Holding Capacity and Tenderness in Sheep. Animals. 15(11). 1569–1569.
3.
Huang, Kai, Lvfeng Yuan, Jia Liu, et al.. (2025). Application of multi-omics technology in pathogen identification and resistance gene screening of sheep pneumonia. BMC Genomics. 26(1). 507–507.
4.
Cheng, Jiangbo, Deyin Zhang, Yukun Zhang, et al.. (2025). Differences in production performance, fore-digestive tract microbiota, and expression levels of nutrient transporters of Hu sheep with different feed conversion ratio. Microbiology Spectrum. 13(6). e0142324–e0142324. 1 indexed citations
5.
Zhao, Liming, Fadi Li, Xiaoxue Zhang, et al.. (2024). Integrating genome-wide association and transcriptome analysis to provide molecular insights into growth rates in sheep1. Journal of Integrative Agriculture. 2 indexed citations
6.
Zhang, Yukun, Jiangbo Cheng, Changchun Lin, et al.. (2024). Spatial heterogeneity determines the gastrointestinal microbiome signatures and ecological processes that govern bacterial community assembly in sheep. Microbiology Spectrum. 13(2). e0111024–e0111024. 2 indexed citations
7.
Zhang, Yukun, Xiaoxue Zhang, Huibin Tian, et al.. (2024). Rumen microbiome and fat deposition in sheep: insights from a bidirectional mendelian randomization study. npj Biofilms and Microbiomes. 10(1). 129–129. 6 indexed citations
8.
Yang, Xiaobin, Jianhui Wang, Jiangbo Cheng, et al.. (2024). Relationship between sheep feces scores and gastrointestinal microorganisms and their effects on growth traits and blood indicators. Frontiers in Microbiology. 15. 1348873–1348873. 6 indexed citations
9.
Li, Chong, Xiaoxue Zhang, Huibin Tian, et al.. (2024). Genetic estimation of fat traits in sheep and association of its NR1H4 gene polymorphisms with tail fat deposition. Small Ruminant Research. 242. 107420–107420.
10.
Zhao, Liming, Lvfeng Yuan, Fadi Li, et al.. (2024). Whole-genome resequencing of Hu sheep identifies candidate genes associated with agronomic traits. Journal of genetics and genomics. 51(8). 866–876. 13 indexed citations
11.
Lei, Anmin, Huibin Tian, Cong Li, et al.. (2023). Scd1 Deficiency in Early Embryos Affects Blastocyst ICM Formation through RPs-Mdm2-p53 Pathway. International Journal of Molecular Sciences. 24(2). 1750–1750. 3 indexed citations
12.
13.
Luo, Jun, Lu Zhu, Qiuya He, et al.. (2022). Genome-wide analysis of the acyl-coenzyme A synthetase family and their association with the formation of goat milk flavour. Frontiers in Genetics. 13. 980463–980463. 8 indexed citations
14.
Song, Ning, Jun Luo, Lian Huang, et al.. (2020). Negative regulation of αS1-casein (CSN1S1) improves β-casein content and reduces allergy potential in goat milk. Journal of Dairy Science. 103(10). 9561–9572. 24 indexed citations
15.
Xu, Huifen, Jun Luo, Huibin Tian, et al.. (2018). Rapid communication: lipid metabolic gene expression and triacylglycerol accumulation in goat mammary epithelial cells are decreased by inhibition of SREBP-1. Journal of Animal Science. 96(6). 2399–2407. 26 indexed citations
16.
Wang, Hui, Jun Luo, Tianying Zhang, et al.. (2016). MicroRNA-26a/b and their host genes synergistically regulate triacylglycerol synthesis by targeting theINSIG1gene. RNA Biology. 13(5). 500–510. 50 indexed citations
17.
18.
Shi, Hengbo, Kang Yu, Jun Luo, et al.. (2015). Adipocyte differentiation-related protein promotes lipid accumulation in goat mammary epithelial cells. Journal of Dairy Science. 98(10). 6954–6964. 20 indexed citations
19.
Xu, Huifen, Jun Luo, Wangsheng Zhao, et al.. (2015). Overexpression of SREBP1 (sterol regulatory element binding protein 1) promotes de novo fatty acid synthesis and triacylglycerol accumulation in goat mammary epithelial cells. Journal of Dairy Science. 99(1). 783–795. 116 indexed citations
20.
Xue, Jing, Yujia Sun, Huibin Tian, et al.. (2013). Haplotypes and effects on growth traits of bovine Wnt7a gene in Chinese Qinchuan cattle. Gene. 524(2). 241–245. 13 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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