Qingyong Meng

2.5k citations
115 papers · 1.5k indexed · h-index 22
Topics
Muscle Physiology and Disorders (12 papers)Adipose Tissue and Metabolism (9 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)

In The Last Decade

Qingyong Meng

110 papers receiving 1.5k citations

Peers

Qingyong Meng
Comparison fields: 5 of 125
  • Molecular Biology 702
  • Cancer Research 274
  • Nutrition and Dietetics 211
  • Plant Science 176
  • Immunology 165
Replace Shun‐Feng Cheng with:
Shun‐Feng Cheng China
Zhengxing Lian China
Shuen‐Ei Chen Taiwan
Hao Jiang China
Yanli Zhang China
Xiayu Rao United States
Ping Yang China
Weijun Pang China
Toshiro Arai Japan
Lei Qu China
Qingyong Meng relative to Shun‐Feng Cheng China Shun‐Feng Cheng's profile →
Citations per field
00.5×2.8×
Shun‐Feng Cheng · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 13
4 2
5 15
6 0
7 0
8 3
9 3
10 7
11 10
12
Inhibitory Role of Natural IgG Antibodies against VEGFR1 in the Proliferation of Pancreatic Cancer
1
13 1
14 2
15 8
16
The Expression of microRNA-1,-133,-206 in the Muscle of Adult Mouse
1
17
MAGNETOSTRATIGRAPHIC AND MAGNETIC PROPERTIES OF MARINE SEDIMENTS FROM THE EAST PHILIPPINE SEA
4
18 32
19
Expression of proteins in mouse thymocytes induced by low dose X-rays and their biological activity
1
20
Early expression of proteins in murine thymocytes after whole-body irradiation with low-dose X-rays
1

About Qingyong Meng

Qingyong Meng is a scholar working on Aging, Nutrition and Dietetics and Cancer Research, having authored 115 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Adipose Tissue and Metabolism (9 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Cancer Research (274 citations), Reproductive Medicine (140 citations) and Nutrition and Dietetics (211 citations). Qingyong Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangbin Zhou, Bo Pan, Hongbing Han, Izhar Hyder Qazi, Zhengquan Yu, Yaofeng Zhao, Haoxuan Yang, Changjun Zeng, Jianjun Hao and Li Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

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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