Lifeng Meng

801 total citations
37 papers, 596 citations indexed

About

Lifeng Meng is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lifeng Meng has authored 37 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Insect Science, 19 papers in Genetics and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lifeng Meng's work include Insect and Pesticide Research (23 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Plant and animal studies (16 papers). Lifeng Meng is often cited by papers focused on Insect and Pesticide Research (23 papers), Insect and Arachnid Ecology and Behavior (19 papers) and Plant and animal studies (16 papers). Lifeng Meng collaborates with scholars based in China, United States and Ethiopia. Lifeng Meng's co-authors include Bin Han, Han Hu, Feng Mao, Yu Fang, Jianke Li, Jianke Li, Chuan Ma, Bin Wu, Fan Wu and Jianke Li and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Lifeng Meng

35 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lifeng Meng China 16 433 248 218 108 53 37 596
Ademilson Espencer Egea Soares Brazil 19 1.1k 2.5× 639 2.6× 703 3.2× 72 0.7× 43 0.8× 67 1.2k
Young-Moo Choo United States 10 286 0.7× 160 0.6× 44 0.2× 139 1.3× 310 5.8× 18 513
G. Rotundo Italy 17 547 1.3× 56 0.2× 151 0.7× 73 0.7× 41 0.8× 49 713
Chi Hao China 10 156 0.4× 59 0.2× 32 0.1× 61 0.6× 73 1.4× 34 274
Andrew B. Munkacsi New Zealand 15 49 0.1× 99 0.4× 109 0.5× 214 2.0× 9 0.2× 32 594
Geoffrey D. Wheelock United States 13 396 0.9× 167 0.7× 40 0.2× 285 2.6× 300 5.7× 21 689
Wayne S. Skinner Japan 14 248 0.6× 229 0.9× 31 0.1× 371 3.4× 165 3.1× 22 844
Yujie Zhao China 16 68 0.2× 76 0.3× 30 0.1× 270 2.5× 56 1.1× 45 573
Chris R. Gissendanner United States 11 45 0.1× 72 0.3× 34 0.2× 196 1.8× 89 1.7× 18 497

Countries citing papers authored by Lifeng Meng

Since Specialization
Citations

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

Fields of papers citing papers by Lifeng Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifeng Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Lifeng Meng. A scholar is included among the top collaborators of Lifeng 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 Lifeng Meng. Lifeng 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.
Wang, Ronghua, Jianke Li, & Lifeng Meng. (2025). Multi-organ proteome reveals different nursing ability between two honeybee srocks. Journal of Proteomics. 316. 105417–105417. 1 indexed citations
2.
Meng, Lifeng, et al.. (2024). A New Isolated Fungus and Its Pathogenicity for Apis mellifera Brood in China. Microorganisms. 12(2). 313–313.
3.
Meng, Lifeng, et al.. (2022). Proteome analysis reveals the molecular basis of honeybee brain and midgut response to sulfoxaflor. Pesticide Biochemistry and Physiology. 186. 105168–105168. 7 indexed citations
4.
Fu, Linglin, Miao Wang, Lifeng Meng, et al.. (2022). Identification of allergens and allergen hydrolysates by proteomics and metabolomics: A comparative study of natural and enzymolytic bee pollen. Food Research International. 158. 111572–111572. 15 indexed citations
5.
Han, Bin, Esmaeil Amiri, Han Hu, et al.. (2022). The molecular basis of socially induced egg-size plasticity in honey bees. eLife. 11. 8 indexed citations
6.
Ma, Junjun, et al.. (2022). Deletion of TRIB3 disrupts the tumor progression induced by integrin αvβ3 in lung cancer. BMC Cancer. 22(1). 459–459. 8 indexed citations
7.
Jiang, Yusuo, Lifeng Meng, Liuwei Zhao, et al.. (2022). A Combined Proteomic and Metabolomic Strategy for Allergens Characterization in Natural and Fermented Brassica napus Bee Pollen. Frontiers in Nutrition. 9. 822033–822033. 14 indexed citations
8.
Meng, Lifeng, et al.. (2022). StcU-2 Gene Mutation via CRISPR/Cas9 Leads to Misregulation of Spore-Cyst Formation in Ascosphaera apis. Microorganisms. 10(10). 2088–2088. 2 indexed citations
9.
Han, Bin, Fan Wu, Han Hu, et al.. (2021). Tachykinin signaling inhibits task-specific behavioral responsiveness in honeybee workers. eLife. 10. 12 indexed citations
10.
Meng, Lifeng, et al.. (2021). Phosphoproteomic basis of neuroplasticity in the antennal lobes influences the olfactory differences between A. mellifera and A. cerana honeybees. Journal of Proteomics. 251. 104413–104413. 6 indexed citations
11.
Guan, Ying, et al.. (2021). Simvastatin inhibites high glucose-induced renal tubular epithelial cells apoptosis by down-regulating miR-92a.. PubMed. 34(1(Special)). 411–415. 1 indexed citations
12.
Zhang, Xufeng, Han Hu, Bin Han, et al.. (2020). The Neuroproteomic Basis of Enhanced Perception and Processing of Brood Signals That Trigger Increased Reproductive Investment in Honeybee (Apis mellifera) Workers. Molecular & Cellular Proteomics. 19(10). 1632–1648. 11 indexed citations
14.
Ma, Jun, Lina Han, Jianrui Song, et al.. (2020). Long noncoding RNA LINC01234 silencing exerts an anti-oncogenic effect in esophageal cancer cells through microRNA-193a-5p-mediated CCNE1 downregulation. Cellular Oncology. 43(3). 377–394. 22 indexed citations
15.
Hu, Han, Feng Mao, Xufeng Zhang, et al.. (2019). In-depth Proteome of the Hypopharyngeal Glands of Honeybee Workers Reveals Highly Activated Protein and Energy Metabolism in Priming the Secretion of Royal Jelly. Molecular & Cellular Proteomics. 18(4). 606–621. 46 indexed citations
16.
Wu, Fan, Bin Han, Han Hu, et al.. (2019). Mechanistic insight into binding interaction between chemosensory protein 4 and volatile larval pheromones in honeybees (Apis mellifera). International Journal of Biological Macromolecules. 141. 553–563. 15 indexed citations
17.
Meng, Lifeng, et al.. (2018). Real-time observation of nucleoplasmin-mediated DNA decondensation and condensation reveals its specific functions as a chaperone. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1861(8). 743–751. 1 indexed citations
18.
Meng, Lifeng, Feng Mao, Yu Fang, et al.. (2017). Proteomics Reveals the Molecular Underpinnings of Stronger Learning and Memory in Eastern Compared to Western Bees. Molecular & Cellular Proteomics. 17(2). 255–269. 23 indexed citations
19.
Li, Jianchun, et al.. (2017). [Decursin reduces reactive oxygen species and inhibits cisplatin-induced apoptosis in rat renal tubular epithelial cells].. PubMed. 33(10). 1328–1334. 2 indexed citations
20.
Han, Bin, Yu Fang, Feng Mao, et al.. (2015). Quantitative Neuropeptidome Analysis Reveals Neuropeptides Are Correlated with Social Behavior Regulation of the Honeybee Workers. Journal of Proteome Research. 14(10). 4382–4393. 46 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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