Mailin Gan

1.6k total citations
88 papers, 1.0k citations indexed

About

Mailin Gan is a scholar working on Molecular Biology, Cancer Research and Animal Science and Zoology. According to data from OpenAlex, Mailin Gan has authored 88 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 36 papers in Cancer Research and 12 papers in Animal Science and Zoology. Recurrent topics in Mailin Gan's work include Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (24 papers) and Circular RNAs in diseases (15 papers). Mailin Gan is often cited by papers focused on Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (24 papers) and Circular RNAs in diseases (15 papers). Mailin Gan collaborates with scholars based in China, India and Estonia. Mailin Gan's co-authors include Shunhua Zhang, Linyuan Shen, Li Zhu, Xuewei Li, Jinyong Wang, Lili Niu, Yanzhi Jiang, Ye Zhao, Guoqing Tang and Lei Chen and has published in prestigious journals such as Journal of Hazardous Materials, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Mailin Gan

78 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mailin Gan China	20	665	427	178	106	106	88	1.0k
Tongxing Song China	20	683 1.0×	235 0.6×	292 1.6×	50 0.5×	67 0.6×	44	1.2k
Junyi Luo China	19	827 1.2×	566 1.3×	95 0.5×	151 1.4×	86 0.8×	75	1.3k
Huifen Xu China	20	593 0.9×	388 0.9×	129 0.7×	68 0.6×	208 2.0×	61	1.1k
Mingxia Zhou China	19	911 1.4×	400 0.9×	49 0.3×	41 0.4×	124 1.2×	49	1.4k
Renli Qi China	17	387 0.6×	141 0.3×	154 0.9×	90 0.8×	43 0.4×	55	700
Małgorzata Pierzchalska Poland	20	412 0.6×	93 0.2×	414 2.3×	60 0.6×	105 1.0×	35	1.1k
Peng Jiao China	18	322 0.5×	150 0.4×	69 0.4×	81 0.8×	27 0.3×	45	874
Hongying Liu China	19	383 0.6×	186 0.4×	106 0.6×	24 0.2×	93 0.9×	45	750
Huaiping Shi China	16	421 0.6×	279 0.7×	91 0.5×	44 0.4×	159 1.5×	35	818
Anil K.G. Kadegowda United States	16	348 0.5×	156 0.4×	338 1.9×	80 0.8×	181 1.7×	20	1.1k

Countries citing papers authored by Mailin Gan

Since Specialization

Citations

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

Fields of papers citing papers by Mailin Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mailin Gan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gan, Mailin, Jianfeng Ma, Shuang Liang, et al.. (2025). TGF-β signaling in the ovary: Emerging roles in development and disease. International Journal of Biological Macromolecules. 306(Pt 4). 141455–141455. 2 indexed citations

Shen, Linyuan, Kai Wang, Huiling Zhang, et al.. (2025). Advanced exploration of metabolite variation and the role of key differential metabolites during the ripening process of PSE pork. Food Chemistry. 484. 144325–144325. 2 indexed citations

Li, Jiaxin, Linyuan Shen, Kai Wang, et al.. (2025). Biogenesis of stress granules and their role in the regulation of stress-induced male reproduction disorders. Cell Communication and Signaling. 23(1). 84–84. 1 indexed citations

Zhu, Liangyu, Wenyu Jiang, Yi-Ting Yang, et al.. (2025). Artificial intelligence-driven food quality prediction: Applying machine learning ensemble models for dynamic forecasting of pork pH and meat color changes. Food Chemistry. 492(Pt 2). 145383–145383. 1 indexed citations

Zhong, Yi, Shan Jiang, Xinyi Wang, et al.. (2025). Advances in understanding the role of gut microbiota in fat deposition and lipid metabolism. Journal of Animal Science and Biotechnology. 16(1). 152–152.

Wu, Qiuwen, Mailin Gan, Jianfeng Ma, et al.. (2025). Opportunities and challenges ahead of the cultured meat: A review on key technology and mass production process. Journal of Future Foods. 1 indexed citations

Zhu, Liangyu, et al.. (2025). Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction. Animals. 15(12). 1773–1773. 1 indexed citations

Gan, Mailin, Jiayan Li, Lili Niu, et al.. (2025). Perspectives on mitochondrial dysfunction in the regeneration of aging skeletal muscle. Cellular & Molecular Biology Letters. 30(1). 94–94. 1 indexed citations

Gan, Mailin, Chengming Liu, Meng Wang, et al.. (2024). Analysis of genetic evolutionary differences among four Tibetan pig populations in China. Genomics. 116(6). 110950–110950.

10.

Hu, Shijie, Mailin Gan, Zhiyi Wei, et al.. (2024). Identification of host factors for livestock and poultry viruses: genome-wide screening technology based on the CRISPR system. Frontiers in Microbiology. 15. 1498641–1498641. 2 indexed citations

11.

Wu, Shuang, Mailin Gan, Yan Wang, et al.. (2024). Copper mediated follicular atresia: Implications for granulosa cell death. Journal of Hazardous Materials. 477. 135391–135391. 7 indexed citations

12.

Gan, Mailin, Bin Liu, Lei Chen, et al.. (2023). Estimation of genetic parameters of pig reproductive traits. Frontiers in Veterinary Science. 10. 1172287–1172287. 14 indexed citations

13.

Hao, Xiaoxia, Dongmei Jiang, Li Zhu, et al.. (2023). Effect of Slightly Acidic Electrolyzed Water on Growth, Diarrhea and Intestinal Bacteria of Newly Weaned Piglets. Genes. 14(7). 1398–1398. 5 indexed citations

14.

Gan, Mailin, Lei Chen, Shunhua Zhang, et al.. (2023). Potential Function of Testicular MicroRNAs in Heat-Stress-Induced Spermatogenesis Disorders. International Journal of Molecular Sciences. 24(10). 8809–8809. 25 indexed citations

15.

Gan, Mailin, Yi Luo, Bin Liu, et al.. (2023). A Comparative Study on the Growth Performance and Gut Microbial Composition of Duroc and Yorkshire Boars. Genes. 14(9). 1726–1726. 5 indexed citations

16.

Li, Xinrong, Shuang Wu, Peiwen Zhang, et al.. (2023). Regulation of SIRT1 in Ovarian Function: PCOS Treatment. Current Issues in Molecular Biology. 45(3). 2073–2089. 14 indexed citations

17.

Gan, Mailin, Lei Chen, Ye Zhao, et al.. (2022). Characteristics of tRNA-Derived Small RNAs and microRNAs Associated with Immunocompromise in an Intrauterine Growth-Restricted Pig Model. Animals. 12(16). 2102–2102. 8 indexed citations

18.

Luo, Jia, Linyuan Shen, Mailin Gan, et al.. (2020). Profiling of skeletal muscle tissue for long non-coding RNAs related to muscle metabolism in the QingYu pig at the growth inflection point. Animal Bioscience. 34(8). 1309–1320. 5 indexed citations

19.

Tan, Ya, Linyuan Shen, Mailin Gan, et al.. (2020). Downregulated miR‐204 Promotes Skeletal Muscle Regeneration. BioMed Research International. 2020(1). 3183296–3183296. 13 indexed citations

20.

Du, Jingjing, Peiwen Zhang, Mailin Gan, et al.. (2018). MicroRNA-204-5p regulates 3T3-L1 preadipocyte proliferation, apoptosis and differentiation. Gene. 668. 1–7. 32 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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