Ming Deng

860 total citations
57 papers, 624 citations indexed

About

Ming Deng is a scholar working on Agronomy and Crop Science, Cancer Research and Molecular Biology. According to data from OpenAlex, Ming Deng has authored 57 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Agronomy and Crop Science, 21 papers in Cancer Research and 19 papers in Molecular Biology. Recurrent topics in Ming Deng's work include Cancer-related molecular mechanisms research (18 papers), Ruminant Nutrition and Digestive Physiology (13 papers) and Genetic and phenotypic traits in livestock (12 papers). Ming Deng is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), Ruminant Nutrition and Digestive Physiology (13 papers) and Genetic and phenotypic traits in livestock (12 papers). Ming Deng collaborates with scholars based in China, United States and South Korea. Ming Deng's co-authors include Baoli Sun, Yongqing Guo, Dewu Liu, Yaokun Li, Guangbin Liu, Chengquan Tan, Yulong Yin, Xian Zou, Jinping Deng and Yao Liang and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ming Deng

57 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Deng China 15 225 184 139 112 110 57 624
Yalei Cui China 18 334 1.5× 108 0.6× 195 1.4× 74 0.7× 48 0.4× 48 785
Fuguang Xue China 15 240 1.1× 318 1.7× 182 1.3× 50 0.4× 123 1.1× 49 706
Yaokun Li China 17 334 1.5× 200 1.1× 157 1.1× 226 2.0× 259 2.4× 72 837
Yiguang Zhao China 19 381 1.7× 481 2.6× 128 0.9× 80 0.7× 156 1.4× 48 932
Henry A. Paz United States 13 309 1.4× 364 2.0× 80 0.6× 68 0.6× 132 1.2× 33 721
Kang Zhan China 14 161 0.7× 201 1.1× 72 0.5× 35 0.3× 71 0.6× 51 578
Changjin Ao China 15 137 0.6× 199 1.1× 149 1.1× 33 0.3× 65 0.6× 41 514
Ayman H. Abd El‐Aziz Egypt 15 123 0.5× 67 0.4× 199 1.4× 51 0.5× 119 1.1× 72 569
Lu Ma China 18 270 1.2× 292 1.6× 302 2.2× 33 0.3× 116 1.1× 53 829
Iosif Bizelis Greece 14 130 0.6× 163 0.9× 325 2.3× 40 0.4× 155 1.4× 58 693

Countries citing papers authored by Ming Deng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Deng. A scholar is included among the top collaborators of Ming Deng 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 Ming Deng. Ming Deng 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.
Li, Yaokun, et al.. (2024). miR-128-3p Regulates Follicular Granulosa Cell Proliferation and Apoptosis by Targeting the Growth Hormone Secretagogue Receptor. International Journal of Molecular Sciences. 25(5). 2720–2720. 3 indexed citations
2.
Liu, Jie, Conghui Guo, Junjie Fu, et al.. (2024). Identification and Functional Analysis of circRNAs during Goat Follicular Development. International Journal of Molecular Sciences. 25(14). 7548–7548. 4 indexed citations
3.
Fu, Junjie, Jie Liu, Xian Zou, et al.. (2024). Transcriptome analysis of mRNA and miRNA in the development of LeiZhou goat muscles. Scientific Reports. 14(1). 3 indexed citations
4.
Li, Yaokun, et al.. (2024). Selection and Regulatory Network Analysis of Differential CircRNAs in the Hypothalamus of Goats with High and Low Reproductive Capacity. International Journal of Molecular Sciences. 25(19). 10479–10479. 1 indexed citations
5.
Liu, Jinyang, Jie Lv, Yaokun Li, et al.. (2024). Screening of SNP Loci Related to Leg Length Trait in Leizhou Goats Based on Whole-Genome Resequencing. International Journal of Molecular Sciences. 25(22). 12450–12450. 3 indexed citations
6.
Liu, Jinyang, Jinyu Chen, Baoli Sun, et al.. (2024). Effects of moringa polysaccharides on growth performance, immune function, rumen morphology, and microbial community structure in early-weaned goat kids. Frontiers in Veterinary Science. 11. 1461391–1461391. 1 indexed citations
7.
Guo, Conghui, Ming Deng, Yongqing Guo, et al.. (2024). Whole-genome sequencing identified candidate genes associated with high and low litter size in Chuanzhong black goats. Frontiers in Veterinary Science. 11. 1420164–1420164. 3 indexed citations
8.
Wu, Zibin, Yongqing Guo, Jiahao Zhang, et al.. (2023). High-Dose Vitamin E Supplementation Can Alleviate the Negative Effect of Subacute Ruminal Acidosis in Dairy Cows. Animals. 13(3). 486–486. 6 indexed citations
9.
10.
11.
Zou, Xian, Ming Deng, Baoli Sun, et al.. (2023). Identification of Key Functional Genes and LncRNAs Influencing Muscle Growth and Development in Leizhou Black Goats. Genes. 14(4). 881–881. 5 indexed citations
12.
Liu, Jianying, Yaokun Li, Yongqing Guo, et al.. (2023). A Study on Differential Biomarkers in the Milk of Holstein Cows with Different Somatic Cells Count Levels. Animals. 13(15). 2446–2446. 6 indexed citations
13.
Wu, Long‐Fei, Yongqing Guo, Yaokun Li, et al.. (2023). Expression profile and bioinformatics analysis of circRNA and its associated ceRNA networks in longissimus dorsi from Lufeng cattle and Leiqiong cattle. BMC Genomics. 24(1). 499–499. 2 indexed citations
14.
Deng, Ming, Yongqing Guo, Yaokun Li, et al.. (2023). Effect of Capsaicin Addition on Antioxidant Capacity, Immune Performance and Upper Respiratory Microbiota in Nursing Calves. Microorganisms. 11(8). 1903–1903. 5 indexed citations
15.
Deng, Ming, Yongqing Guo, Yaokun Li, et al.. (2023). The Effect of Capsaicin on Growth Performance, Antioxidant Capacity, Immunity and Gut Micro-Organisms of Calves. Animals. 13(14). 2309–2309. 12 indexed citations
16.
Deng, Ming, Guangbin Liu, Baoli Sun, et al.. (2022). The effects of fermented pineapple residue on growth performance, meat quality, and rumen microbiota of fattening Simmental bull. Frontiers in Microbiology. 13. 942208–942208. 3 indexed citations
17.
Wu, Long‐Fei, et al.. (2022). Effects of Broussonetia papyrifera silage on rumen fermentation parameters and microbes of Holstein heifers. AMB Express. 12(1). 62–62. 6 indexed citations
18.
Deng, Ming, et al.. (2021). Starch supplementation improves the reproductive performance of sows in different glucose tolerance status. Animal nutrition. 7(4). 1231–1241. 10 indexed citations
19.
Guo, Yongqing, et al.. (2021). Effects of a multi-strain probiotic on growth, health, and fecal bacterial flora of neonatal dairy calves. Animal Bioscience. 35(2). 204–216. 16 indexed citations
20.
Liang, Yao, Yongqing Guo, Ming Deng, et al.. (2021). Moringa oleifera polysaccharide regulates colonic microbiota and immune repertoire in C57BL/6 mice. International Journal of Biological Macromolecules. 198. 135–146. 21 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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