Dongyi Bai

473 total citations
23 papers, 200 citations indexed

About

Dongyi Bai is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Dongyi Bai has authored 23 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cell Biology and 6 papers in Genetics. Recurrent topics in Dongyi Bai's work include Muscle Physiology and Disorders (4 papers), Muscle metabolism and nutrition (4 papers) and Gut microbiota and health (4 papers). Dongyi Bai is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Muscle metabolism and nutrition (4 papers) and Gut microbiota and health (4 papers). Dongyi Bai collaborates with scholars based in China, Ireland and Mongolia. Dongyi Bai's co-authors include Manglai Dugarjaviin, Yiping Zhao, Bei Li, Xinzhuang Zhang, Xiaolong He, Guiqin Liu, Lihua Yang, Jinlong Huang, Gerelchimeg Bou and Yuejiao Wang and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and BMC Genomics.

In The Last Decade

Dongyi Bai

21 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongyi Bai China 9 104 58 54 40 35 23 200
Chuanliang Ji China 11 62 0.6× 68 1.2× 62 1.1× 17 0.4× 58 1.7× 24 250
Mohammad Hossein Banabazi Iran 11 46 0.4× 186 3.2× 48 0.9× 39 1.0× 19 0.5× 43 295
Siyuan Mi China 10 93 0.9× 150 2.6× 94 1.7× 75 1.9× 3 0.1× 37 313
Xiuge Wang China 10 117 1.1× 137 2.4× 125 2.3× 90 2.3× 7 0.2× 19 303
Ashok Kumar Balhara India 12 55 0.5× 156 2.7× 234 4.3× 20 0.5× 9 0.3× 40 435
Muhammad Aslam India 11 86 0.8× 102 1.8× 96 1.8× 13 0.3× 3 0.1× 30 343
Johann Burgstaller Austria 5 16 0.2× 103 1.8× 69 1.3× 18 0.5× 5 0.1× 9 205
Xuelei Han China 10 92 0.9× 131 2.3× 20 0.4× 89 2.2× 2 0.1× 36 268
Zhuocheng Hou China 9 166 1.6× 70 1.2× 19 0.4× 21 0.5× 2 0.1× 12 303
M.A. Crookenden New Zealand 13 87 0.8× 178 3.1× 423 7.8× 65 1.6× 3 0.1× 33 568

Countries citing papers authored by Dongyi Bai

Since Specialization
Citations

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

Fields of papers citing papers by Dongyi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyi Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyi Bai. A scholar is included among the top collaborators of Dongyi Bai 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 Dongyi Bai. Dongyi Bai 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
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Zhang, Jianqiang, et al.. (2025). Probiotic Potential of Pediococcus pentosaceus M6 Isolated from Equines and Its Alleviating Effect on DSS-Induced Colitis in Mice. Microorganisms. 13(5). 957–957. 1 indexed citations
4.
Li, Xinyu, Min Wang, Lei Zhang, et al.. (2024). Proteome and metabolomic profile of Mongolian horse follicular fluid during follicle development. Scientific Reports. 14(1). 19788–19788. 1 indexed citations
5.
Qi, Xingzhen, Guiqin Liu, Xinyu Li, et al.. (2023). A Transcriptomic Regulatory Network among miRNAs, lncRNAs, circRNAs, and mRNAs Associated with L-leucine-induced Proliferation of Equine Satellite Cells. Animals. 13(2). 208–208. 10 indexed citations
6.
Qi, Xingzhen, Guiqin Liu, Muhammad Faheem Akhtar, et al.. (2023). Integrated analysis of transcriptome and proteome for exploring mechanism of promoting proliferation of equine satellite cells associated with leucine. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 48. 101118–101118. 5 indexed citations
7.
Ren, Hong, et al.. (2023). Condition optimization for electroporation transfection in horse skeletal muscle satellite cells. Animal Biotechnology. 35(1). 2280664–2280664. 1 indexed citations
8.
Ren, Hong, et al.. (2022). Proteomic Differences Between the Ovulatory and Anovulatory Sides of the Mare's Follicular and Oviduct Fluid. Journal of Equine Veterinary Science. 121. 104207–104207. 2 indexed citations
9.
Zhao, Yiping, Bei Li, Dongyi Bai, et al.. (2022). Analysis of the Whole-Genome Sequences from an Equus Parent-Offspring Trio Provides Insight into the Genomic Incompatibilities in the Hybrid Mule. Genes. 13(12). 2188–2188. 6 indexed citations
10.
Liu, Guiqin, Xinzhuang Zhang, Dongyi Bai, et al.. (2022). MSTN Regulatory Network in Mongolian Horse Muscle Satellite Cells Revealed with miRNA Interference Technologies. Genes. 13(10). 1836–1836. 10 indexed citations
11.
Wang, Xisheng, Xinzhuang Zhang, Li Tao, et al.. (2021). A Fast PCR Test for the Simultaneous Identification of Species and Gender in Horses, Donkeys, Mules and Hinnies. Journal of Equine Veterinary Science. 102. 103458–103458. 5 indexed citations
12.
Zhao, Yiping, Guiqin Liu, Dongyi Bai, et al.. (2020). Characterization and comparison of the bacterial microbiota in different gastrointestinal tract compartments of Mongolian horses. MicrobiologyOpen. 9(6). 1085–1101. 29 indexed citations
13.
Wu, Yihan, Yiping Zhao, Bei Li, et al.. (2020). Hair follicle regional specificity in different parts of bay Mongolian horse by histology and transcriptional profiling. BMC Genomics. 21(1). 651–651. 2 indexed citations
14.
Li, Bei, Xiaolong He, Yiping Zhao, et al.. (2020). Transcriptome profiling of developing testes and spermatogenesis in the Mongolian horse. BMC Genetics. 21(1). 46–46. 21 indexed citations
15.
Liu, Guiqin, Xinzhuang Zhang, Dongyi Bai, et al.. (2020). The Composition and Predictive Function of the Fecal Microbiota Differ Between Young and Adult Donkeys. Frontiers in Microbiology. 11. 596394–596394. 10 indexed citations
16.
Li, Bei, Xiaolong He, Yiping Zhao, et al.. (2020). Analysis of the miRNA transcriptome during testicular development and spermatogenesis of the Mongolian horse. Reproduction Fertility and Development. 32(6). 582–593. 11 indexed citations
17.
Li, Bei, Xiaolong He, Yiping Zhao, et al.. (2019). Identification of piRNAs and piRNA clusters in the testes of the Mongolian horse. Scientific Reports. 9(1). 5022–5022. 19 indexed citations
18.
Li, Bei, et al.. (2017). Regulatory pathway analysis of coat color genes in Mongolian horses. Hereditas. 155(1). 13–13. 6 indexed citations
19.
Zhao, Yiping, Bei Li, Dongyi Bai, et al.. (2015). Comparison of Fecal Microbiota of Mongolian and Thoroughbred Horses by High-throughput Sequencing of the V4 Region of the 16S rRNA Gene. Asian-Australasian Journal of Animal Sciences. 29(9). 1345–1352. 40 indexed citations
20.
Bai, Dongyi, et al.. (2011). Effects of <I>Kit</I> gene on coat depigmentation in white horses. Hereditas (Beijing). 33(11). 1171–1178. 4 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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