Qingyong Meng

2.5k total citations
115 papers, 1.5k citations indexed

About

Qingyong Meng is a scholar working on Molecular Biology, Nutrition and Dietetics and Cancer Research. According to data from OpenAlex, Qingyong Meng has authored 115 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 16 papers in Nutrition and Dietetics and 14 papers in Cancer Research. Recurrent topics in Qingyong Meng's work include Muscle Physiology and Disorders (12 papers), Adipose Tissue and Metabolism (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Qingyong Meng is often cited by papers focused on Muscle Physiology and Disorders (12 papers), Adipose Tissue and Metabolism (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Qingyong Meng collaborates with scholars based in China, United States and United Kingdom. Qingyong Meng's co-authors include Guangbin Zhou, Bo Pan, Hongbing Han, Yaofeng Zhao, Zhengquan Yu, Izhar Hyder Qazi, Haoxuan Yang, Changjun Zeng, Jianjun Hao and Ming Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Qingyong Meng

110 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyong Meng China 22 702 274 211 176 165 115 1.5k
Andrew R. Reeves United States 18 1.0k 1.5× 178 0.6× 127 0.6× 72 0.4× 160 1.0× 28 1.7k
Hao Jiang China 23 755 1.1× 570 2.1× 68 0.3× 77 0.4× 150 0.9× 113 1.5k
Shuen‐Ei Chen Taiwan 22 1.3k 1.8× 524 1.9× 167 0.8× 84 0.5× 298 1.8× 73 2.6k
Ping Yang China 22 545 0.8× 125 0.5× 74 0.4× 81 0.5× 172 1.0× 107 1.5k
Pengfei Lin China 20 493 0.7× 150 0.5× 96 0.5× 182 1.0× 354 2.1× 93 1.4k
Shun‐Feng Cheng China 24 736 1.0× 191 0.7× 75 0.4× 252 1.4× 209 1.3× 68 1.6k
Scott L. Pratt United States 23 633 0.9× 168 0.6× 131 0.6× 42 0.2× 74 0.4× 64 1.4k
Zhengxing Lian China 21 613 0.9× 102 0.4× 65 0.3× 69 0.4× 257 1.6× 84 1.4k
Xiayu Rao United States 16 947 1.3× 312 1.1× 61 0.3× 245 1.4× 174 1.1× 23 2.0k
Hans Christian Beck Denmark 25 1.1k 1.6× 213 0.8× 86 0.4× 94 0.5× 178 1.1× 115 1.9k

Countries citing papers authored by Qingyong Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qingyong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyong Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyong Meng. A scholar is included among the top collaborators of Qingyong Meng 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 Qingyong Meng. Qingyong Meng 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.
2.
Sun, Feng, et al.. (2025). Gas sorption behavior of MOC/DES type II porous liquid simulated by density functional theory and molecular trajectory dynamics. Separation and Purification Technology. 385. 136317–136317.
3.
Wang, Wenli, et al.. (2024). Unlocking the power of Lactoferrin: Exploring its role in early life and its preventive potential for adult chronic diseases. Food Research International. 182. 114143–114143. 13 indexed citations
4.
Yu, Yingying, Yang Su, Guoxiao Wang, et al.. (2024). Reciprocal communication between FAPs and muscle cells via distinct extracellular vesicle miRNAs in muscle regeneration. Proceedings of the National Academy of Sciences. 121(11). e2316544121–e2316544121. 15 indexed citations
5.
Meng, Qingyong, et al.. (2024). Synthesis of dextran of different molecular weights by recombinant dextransucrase DsrB. International Journal of Biological Macromolecules. 277. 134094–134094. 2 indexed citations
6.
Cao, Yuxin, Chang Liu, Qing Xu, et al.. (2023). Inactivating IL34 promotes regenerating muscle stem cell expansion and attenuates Duchenne muscular dystrophy in mouse models. Theranostics. 13(8). 2588–2604.
7.
Liu, Chuncheng, et al.. (2022). Overexpression of miR-29ab1 Cluster Results in Excessive Muscle Growth in 1-Month-old Mice by Inhibiting Mstn. DNA and Cell Biology. 42(1). 43–52. 2 indexed citations
8.
Liu, Jin, Tongtong Wang, Yang Su, et al.. (2022). Immunoglobulin Superfamily Containing Leucine-Rich Repeat (Islr) Participates in IL-6-Mediated Crosstalk between Muscle and Brown Adipose Tissue to Regulate Energy Homeostasis. International Journal of Molecular Sciences. 23(17). 10008–10008. 3 indexed citations
9.
Meng, Qingyong, et al.. (2021). Inhibitory effects of circulating natural autoantibodies to CD47‐derived peptides on OSCC cells. Oral Diseases. 29(2). 445–457. 3 indexed citations
10.
Liu, Chuncheng, Lijie Gu, Kuo Zhang, et al.. (2021). MiR-29ab1 Cluster Resists Muscle Atrophy Through Inhibiting MuRF1. DNA and Cell Biology. 40(9). 1167–1176. 7 indexed citations
11.
Yin, Ling, Jing Yan, Wenjie Dong, et al.. (2021). Ectopic Expression of VvSUC27 Induces Stenospermocarpy and Sugar Accumulation in Tomato Fruits. Frontiers in Plant Science. 12. 759047–759047. 10 indexed citations
12.
Hu, Ying, et al.. (2019). A study of natural IgG antibodies against ATP-binding cassette subfamily C member 3 in oral squamous cell carcinoma. Journal of Cancer Research and Therapeutics. 15(4). 921–921. 5 indexed citations
13.
Wu, Lifang, et al.. (2017). Inhibitory Role of Natural IgG Antibodies against VEGFR1 in the Proliferation of Pancreatic Cancer. JOP, journal of the pancreas. 18(2). 1 indexed citations
14.
Cui, Huanhuan, Qingyong Meng, Hongyu Liu, et al.. (2011). Two novel missense mutations in bovine ATGL gene and their association with economic traits in Qinchuan cattle. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(12). 2353–2359. 1 indexed citations
15.
Du, Jinkun, et al.. (2010). Fermentation kinetics of carbohydrate fractions of maize grains as determined by <i>in vitro</i> gas production curve subtraction technique. Journal of Animal and Feed Sciences. 19(4). 638–650. 2 indexed citations
16.
Sun, Yi, Chunyan Wang, Yating Wang, et al.. (2010). A comprehensive analysis of germline and expressed immunoglobulin repertoire in the horse. Developmental & Comparative Immunology. 34(9). 1009–1020. 40 indexed citations
17.
Meng, Qingyong. (2009). The Expression of microRNA-1,-133,-206 in the Muscle of Adult Mouse. China Animal Husbandry & Veterinary Medicine. 1 indexed citations
18.
Meng, Qingyong. (2006). MAGNETOSTRATIGRAPHIC AND MAGNETIC PROPERTIES OF MARINE SEDIMENTS FROM THE EAST PHILIPPINE SEA. Marine Geology & Quaternary Geology. 4 indexed citations
19.
Meng, Qingyong, et al.. (2003). Expression of proteins in mouse thymocytes induced by low dose X-rays and their biological activity. Zhongguo bingli shengli zazhi. 1 indexed citations
20.
Chen, Shali, Qingyong Meng, & Shuzheng Liu. (1996). Early expression of proteins in murine thymocytes after whole-body irradiation with low-dose X-rays. Zhonghua fangshe yixue yu fanghu zazhi. 16(3). 161–163. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026