Min Chu

2.4k total citations
156 papers, 1.4k citations indexed

About

Min Chu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Min Chu has authored 156 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 61 papers in Genetics and 42 papers in Cancer Research. Recurrent topics in Min Chu's work include Cancer-related molecular mechanisms research (37 papers), Genomics and Phylogenetic Studies (30 papers) and Genetic and phenotypic traits in livestock (28 papers). Min Chu is often cited by papers focused on Cancer-related molecular mechanisms research (37 papers), Genomics and Phylogenetic Studies (30 papers) and Genetic and phenotypic traits in livestock (28 papers). Min Chu collaborates with scholars based in China, Ethiopia and Pakistan. Min Chu's co-authors include Ping Yan, Chunnian Liang, Xian Guo, Pengjia Bao, Xiaoyun Wu, Xuezhi Ding, Jie Pei, Lin Xiong, Xiaoyun Wu and Xiaoming Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Min Chu

145 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Min Chu 575 437 284 144 101 156 1.4k
Abdolhossein Shahverdi 963 1.7× 455 1.0× 65 0.2× 133 0.9× 242 2.4× 192 3.5k
T. Ohkubo 686 1.2× 332 0.8× 96 0.3× 369 2.6× 133 1.3× 116 2.8k
Tao Zhong 1.2k 2.1× 574 1.3× 551 1.9× 129 0.9× 105 1.0× 155 2.2k
Kalle Kilk 1.2k 2.2× 138 0.3× 147 0.5× 66 0.5× 219 2.2× 69 2.1k
Dan Nonneman 726 1.3× 952 2.2× 276 1.0× 364 2.5× 150 1.5× 97 2.0k
Barbara Bilińska 808 1.4× 1.0k 2.4× 116 0.4× 44 0.3× 93 0.9× 179 3.0k
Tim Parr 1.2k 2.1× 302 0.7× 170 0.6× 1.1k 7.8× 71 0.7× 94 2.8k
Wan‐Xi Yang 1.4k 2.4× 682 1.6× 296 1.0× 56 0.4× 275 2.7× 122 3.5k
M. Guéguen 1.0k 1.8× 707 1.6× 243 0.9× 154 1.1× 194 1.9× 54 3.1k

Countries citing papers authored by Min Chu

Since Specialization
Citations

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

Fields of papers citing papers by Min Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Chu. A scholar is included among the top collaborators of Min Chu 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 Min Chu. Min Chu 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.
La, Yongfu, Xiaoming Ma, Xiaoyun Wu, et al.. (2025). Comparative Analysis of miRNA Expression Profiles of Yak Milk-Derived Exosomes at Different Altitudes. Animals. 15(1). 87–87. 3 indexed citations
2.
Bao, Pengjia, Xiaoyun Wu, Xiaolan Zhang, et al.. (2025). Integration of bulk and single-cell RNA sequencing reveals dynamic changes in epidermal cells. International Journal of Biological Macromolecules. 309(Pt 2). 142601–142601.
3.
Liu, Xinyu, Bo Wang, Yan Zhao, et al.. (2025). Physiological and Transcriptional Responses of Sorghum Seedlings Under Alkali Stress. Plants. 14(19). 3106–3106.
4.
Wang, Tong, Xiaoming Ma, Minghao Zhang, et al.. (2024). Study on Single Nucleotide Polymorphism of LAP3 Gene and Its Correlation with Dairy Quality Traits of Gannan Yak. Foods. 13(18). 2953–2953. 4 indexed citations
5.
Pan, Zhen‐Nan, et al.. (2024). Propylparaben exposure impairs G2/M and metaphase-anaphase transition during mouse oocyte maturation. Ecotoxicology and Environmental Safety. 283. 116798–116798. 1 indexed citations
6.
Zhang, Xueyan, Changhui Li, Jiaxing Huang, et al.. (2024). Characterization and comparison of metabolites in colostrum from yaks, buffaloes, and cows based on UPLC-QTRAP-MS metabolomics. Food Chemistry. 463(Pt 2). 141345–141345.
7.
Yang, Guowu, Rong Ma, Xiaoming Ma, et al.. (2024). Association between Single Nucleotide Polymorphisms of PRKD1 and KCNQ3 Gene and Milk Quality Traits in Gannan Yak (Bos grunniens). Foods. 13(5). 781–781. 3 indexed citations
8.
Ma, Xiaoming, Yongfu La, Xian Guo, et al.. (2024). Polymorphisms of ITGA9 Gene and Their Correlation with Milk Quality Traits in Yak (Bos grunniens). Foods. 13(11). 1613–1613. 3 indexed citations
9.
La, Yongfu, Xiaoming Ma, Pengjia Bao, et al.. (2023). Genome-Wide Landscape of mRNAs, lncRNAs, and circRNAs during Testicular Development of Yak. International Journal of Molecular Sciences. 24(5). 4420–4420. 9 indexed citations
10.
Chu, Min, et al.. (2023). Increasing expression of STING by ERα antagonizes LCN2 downregulation during chronic endometritis. Journal of Reproductive Immunology. 160. 104167–104167. 1 indexed citations
11.
Sun, Yang, Min Chu, Jing Zhu, et al.. (2023). Screening of a Novel Fibrinolytic Enzyme-Producing Streptomyces from a Hyper-Arid Area and Optimization of Its Fibrinolytic Enzyme Production. Fermentation. 9(5). 410–410. 9 indexed citations
12.
La, Yongfu, Xiaoming Ma, Pengjia Bao, et al.. (2023). Identification and profiling of microRNAs during yak’s testicular development. BMC Veterinary Research. 19(1). 53–53. 5 indexed citations
13.
La, Yongfu, Qi Bao, Xiaoyun Wu, et al.. (2023). Early Growth and Development and Nonlinear Model Fitting Analysis of Ashidan Yak. Animals. 13(9). 1545–1545. 6 indexed citations
14.
Yang, Guowu, Chun Huang, Wenwen Ren, et al.. (2023). Comparative Study on Nutritional Characteristics and Volatile Flavor Substances of Yak Milk in Different Regions of Gannan. Foods. 12(11). 2172–2172. 23 indexed citations
15.
Pei, Jie, Lin Xiong, Shaoke Guo, et al.. (2023). Single-Cell Transcriptomics Analysis Reveals a Cell Atlas and Cell Communication in Yak Ovary. International Journal of Molecular Sciences. 24(3). 1839–1839. 10 indexed citations
16.
Ye, Na, Pengjia Bao, Xiaolan Zhang, et al.. (2022). Construction of transcriptome atlas of white yak hair follicle during anagen and catagen using single-cell RNA sequencing. BMC Genomics. 23(1). 813–813. 7 indexed citations
17.
Wu, Xiaoyun, Xuezhi Ding, Xian Guo, et al.. (2019). Characterization of the complete mitochondrial genome of the Huanhu Yak ( Bos Grunniens ). SHILAP Revista de lepidopterología. 4(1). 1235–1236. 2 indexed citations
18.
Xin, Xiaoge, Tongwen Wu, Jie Zhang, et al.. (2019). Introduction of BCC models and its participation in CMIP6. Advances in Climate Change Research. 15(5). 533. 62 indexed citations
19.
Pei, Jie, Pengjia Bao, Min Chu, et al.. (2018). Evaluation of 17 microsatellite markers for parentage testing and individual identification of domestic yak ( Bos grunniens ). PeerJ. 6. e5946–e5946. 15 indexed citations
20.
Bao, Pengjia, Ping Yan, Chunnian Liang, et al.. (2012). Genetic diversity analysis of DRB3.2 in domestic yak (Bos grunniens) in Qinghai-Tibetan Plateau. AFRICAN JOURNAL OF BIOTECHNOLOGY. 11(87). 15272–15279. 1 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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