Chunling Bai

1.3k total citations
73 papers, 897 citations indexed

About

Chunling Bai is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chunling Bai has authored 73 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 22 papers in Genetics and 21 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chunling Bai's work include Reproductive Biology and Fertility (21 papers), Pluripotent Stem Cells Research (16 papers) and Muscle Physiology and Disorders (15 papers). Chunling Bai is often cited by papers focused on Reproductive Biology and Fertility (21 papers), Pluripotent Stem Cells Research (16 papers) and Muscle Physiology and Disorders (15 papers). Chunling Bai collaborates with scholars based in China, United States and Mongolia. Chunling Bai's co-authors include Guangpeng Li, Zhuying Wei, Guanghua Su, Lei Yang, Xuefei Liu, Jinlian Hua, Bowen Niu, Xin He, Yongchun Zuo and Mingzhi Liao and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Scientific Reports.

In The Last Decade

Chunling Bai

65 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunling Bai China 20 571 268 190 147 138 73 897
Xiaoe Zhao China 16 421 0.7× 296 1.1× 241 1.3× 140 1.0× 49 0.4× 58 801
Gabbine Wee South Korea 17 585 1.0× 201 0.8× 478 2.5× 147 1.0× 134 1.0× 38 953
Zongliang Jiang United States 20 802 1.4× 287 1.1× 491 2.6× 143 1.0× 117 0.8× 59 1.3k
Anmin Lei China 17 413 0.7× 250 0.9× 225 1.2× 177 1.2× 89 0.6× 46 710
Mingtian Deng China 17 542 0.9× 223 0.8× 128 0.7× 59 0.4× 166 1.2× 52 815
Winston Teng-Kuei Cheng Taiwan 16 468 0.8× 153 0.6× 303 1.6× 91 0.6× 80 0.6× 25 745
David L’Hôte France 19 504 0.9× 412 1.5× 325 1.7× 354 2.4× 121 0.9× 33 1.0k
Deshun Shi China 15 628 1.1× 305 1.1× 464 2.4× 163 1.1× 86 0.6× 110 934
Pedro M. Aponte Ecuador 13 428 0.7× 323 1.2× 332 1.7× 383 2.6× 116 0.8× 24 1.0k
Xiuxia Wang China 21 521 0.9× 280 1.0× 420 2.2× 504 3.4× 117 0.8× 36 1.1k

Countries citing papers authored by Chunling Bai

Since Specialization
Citations

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

Fields of papers citing papers by Chunling Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunling Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Chunling Bai. A scholar is included among the top collaborators of Chunling 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 Chunling Bai. Chunling 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
1.
Su, Guanghua, Zhuying Wei, Chunling Bai, et al.. (2025). Generation of Codon-Optimized Fad3 Gene Transgenic Bovine That Produce More n-3 Polyunsaturated Fatty Acids. Animals. 15(1). 93–93. 1 indexed citations
2.
Su, Guanghua, Zhe Liu, Huiting Xue, et al.. (2025). Spirulina polysaccharides improve postthaw sperm quality in bulls by inhibiting the activation of pathways related to protein kinase A. International Journal of Biological Macromolecules. 296. 139796–139796. 1 indexed citations
3.
Wang, Song, Ju Wu, Jiandong Zhang, et al.. (2025). NAD+ Promotes Superovulation of Huaxi Cattle Through Regulation of Cumulus Cell Proliferation and Oocyte Maturation. International Journal of Molecular Sciences. 26(5). 2276–2276. 1 indexed citations
4.
Yang, Lei, Xuefei Liu, Song Wang, et al.. (2025). Generation of modified cows and sheep from spermatid-like haploid embryonic stem cells. Nature Biotechnology.
5.
Gao, Yajie, Song Wang, Xuefei Liu, et al.. (2024). Myostatin promotes proliferation of bovine muscle satellite cells through activating TRPC4/Ca2+/calcineurin/NFATc3 pathway. Journal of Integrative Agriculture. 25(3). 1125–1136.
6.
Liu, Xuefei, et al.. (2024). Increased rumen Prevotella enhances BCAA synthesis, leading to synergistically increased skeletal muscle in myostatin-knockout cattle. Communications Biology. 7(1). 1575–1575. 4 indexed citations
7.
8.
Wang, Song, Chunling Bai, Guanghua Su, et al.. (2023). The Effect of MSTN Mutation on Bile Acid Metabolism and Lipid Metabolism in Cattle. Metabolites. 13(7). 836–836. 3 indexed citations
9.
Yang, Miaomiao, Yajie Gao, Chunling Bai, et al.. (2022). Comparison of Microbial Community and Metabolites in Four Stomach Compartments of Myostatin-Gene-Edited and Non-edited Cattle. Frontiers in Microbiology. 13. 844962–844962. 10 indexed citations
10.
Zhang, Mengfei, Na Li, Wenqing Liu, et al.. (2021). Eif2s3y Promotes the Proliferation of Spermatogonial Stem Cells by Activating ERK Signaling. Stem Cells International. 2021. 1–18. 7 indexed citations
11.
Li, Tongtong, Xiaomin Du, Qiaoyan Shen, et al.. (2021). Single-cell RNA sequencing reveals atlas of dairy goat testis cells. 动物学研究. 42(4). 401–405. 38 indexed citations
12.
Su, Guanghua, Shanshan Wu, Meiling Wu, et al.. (2021). Melatonin improves the quality of frozen bull semen and influences gene expression related to embryo genome activation. Theriogenology. 176. 54–62. 16 indexed citations
13.
Wu, Xia, Miao Song, Xi Yang, et al.. (2016). Establishment of bovine embryonic stem cells after knockdown of CDX2. Scientific Reports. 6(1). 28343–28343. 27 indexed citations
14.
Yang, Lei, Xuefei Liu, Qing Xia, et al.. (2016). The Maternal Effect Genes UTX and JMJD3 Play Contrasting Roles in Mus musculus Preimplantation Embryo Development. Scientific Reports. 6(1). 26711–26711. 16 indexed citations
15.
16.
Wu, Jiang Wei, Mingzhi Liao, Haijing Zhu, et al.. (2014). CD49f‐Positive Testicular Cells in Saanen Dairy Goat Were Identified as Spermatogonia‐Like Cells by miRNA Profiling Analysis. Journal of Cellular Biochemistry. 115(10). 1712–1723. 23 indexed citations
17.
Liu, Hui, Chunling Bai, Zhuying Wei, et al.. (2013). TFIIB Co-Localizes and Interacts with α-Tubulin during Oocyte Meiosis in the Mouse and Depletion of TFIIB Causes Arrest of Subsequent Embryo Development. PLoS ONE. 8(11). e80039–e80039. 4 indexed citations
18.
Bai, Chunling, Hui Liu, Ying Liu, et al.. (2011). Diploid Oocyte Formation and Tetraploid Embryo Development Induced by Cytochalasin B in Bovine. Cellular Reprogramming. 13(1). 37–45. 9 indexed citations
19.
Cheng, Lei, Guanghua Su, Kang Feng, et al.. (2011). Nuclear transfer procedures in the ovine can induce early embryo fragmentation and compromise cloned embryo development. Animal Reproduction Science. 126(3-4). 179–186. 5 indexed citations
20.
Meng, Qinggang, Chunling Bai, Ying Liu, et al.. (2010). In Vitro Development and Chromosomal Configuration of Bovine Somatic Cloned Embryos with Nonenucleated Metaphase II Oocytes. Cellular Reprogramming. 12(4). 481–490. 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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