Yu Peng

2.1k total citations
99 papers, 1.5k citations indexed

About

Yu Peng is a scholar working on Insect Science, Molecular Biology and Genetics. According to data from OpenAlex, Yu Peng has authored 99 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Insect Science, 31 papers in Molecular Biology and 25 papers in Genetics. Recurrent topics in Yu Peng's work include Insect and Pesticide Research (31 papers), Insect symbiosis and bacterial influences (22 papers) and Insect and Arachnid Ecology and Behavior (18 papers). Yu Peng is often cited by papers focused on Insect and Pesticide Research (31 papers), Insect symbiosis and bacterial influences (22 papers) and Insect and Arachnid Ecology and Behavior (18 papers). Yu Peng collaborates with scholars based in China, United States and Australia. Yu Peng's co-authors include Yueli Yun, Weiyun Zhu, Chunlong Mu, Yu Pi, Kan Gao, Yu‐Feng Wang, Chun‐Sen Ma, Jian Chen, Guowen Hu and Suqin Hang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Yu Peng

90 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Peng China	21	639	585	236	223	180	99	1.5k
Séverine Balmand France	18	569 0.9×	1.1k 1.8×	248 1.1×	245 1.1×	120 0.7×	29	1.8k
Jenna Lang United States	12	416 0.7×	534 0.9×	162 0.7×	139 0.6×	93 0.5×	26	1.3k
Boonsirm Withyachumnarnkul Thailand	32	640 1.0×	608 1.0×	191 0.8×	130 0.6×	59 0.3×	129	3.5k
A. Dobson United States	30	519 0.8×	650 1.1×	92 0.4×	394 1.8×	111 0.6×	77	2.6k
Claire Whitton United Kingdom	11	740 1.2×	178 0.3×	335 1.4×	357 1.6×	149 0.8×	14	1.6k
Udaya DeSilva United States	22	710 1.1×	103 0.2×	188 0.8×	424 1.9×	103 0.6×	57	2.2k
S. Kestin United Kingdom	33	275 0.4×	270 0.5×	110 0.5×	320 1.4×	92 0.5×	62	4.3k
Sergi Bonet Spain	36	704 1.1×	374 0.6×	188 0.8×	523 2.3×	60 0.3×	187	4.0k
Bessem Chouaia Italy	22	409 0.6×	1.1k 1.8×	259 1.1×	190 0.9×	199 1.1×	35	1.7k
Clóvis Andrade Neves Brazil	19	176 0.3×	325 0.6×	127 0.5×	189 0.8×	222 1.2×	61	921

Countries citing papers authored by Yu Peng

Since Specialization

Citations

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

Fields of papers citing papers by Yu Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Peng. A scholar is included among the top collaborators of Yu Peng 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 Yu Peng. Yu Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pi, Yu, Chunlong Mu, Kan Gao, et al.. (2025). Increasing carbohydrates or nitrogenous compounds by cecal infusion leads to an opposite influence on colonic microbiota and host metabolism in a pig model. Animal nutrition. 23. 62–77.

Li, Xueqing, Pan Wang, Shichang Zhang, et al.. (2025). Bacterial volatiles from aphid honeydew mediate ladybird beetles oviposition site choice. Pest Management Science. 81(7). 4063–4071. 1 indexed citations

Xu, Letian, et al.. (2025). Topical RNA Interference Induces Mortality in the Cotton–Melon Aphid Aphis gossypii with No Adverse Effect on the Predator Propylea japonica. Insects. 16(3). 276–276. 2 indexed citations

Peng, Yu, et al.. (2024). The critical role of arachidonic acid on molting in spiders. Current Zoology. 71(3). 373–380. 2 indexed citations

Peng, Yu, et al.. (2024). Portable and Scalable Electric Vehicle Charging Demand Prediction Framework Based on Spatiotemporal Neural Networks. 216–220. 2 indexed citations

Li, Ke, Wei Li, Wen‐Sheng Xia, et al.. (2024). Effect of Host Pupae Cryogenic, Anesthesia, Parasitoid‐to‐Host Ratios to Scleroderma sichuanensis the Percentage Parasitism and Numbers of Output. Ecology and Evolution. 14(12). e70649–e70649.

Zhang, Junyou, et al.. (2024). MLP-Transformers: Multi-Layer Perceptron coordinated Transformers for Time Series Forecasting. 161–166.

Liao, Min, et al.. (2023). Identification of odorant receptors of Tribolium confusum in response to limonene repellent activity. Pesticide Biochemistry and Physiology. 195. 105555–105555. 8 indexed citations

Li, Wei, et al.. (2023). RNA interference against the putative insulin receptor substrate gene IRS1 affects growth and development in the pest natural enemy Pardosa pseudoannulata. Pest Management Science. 80(2). 648–660. 1 indexed citations

10.

Peng, Yaqi, et al.. (2023). Communal rearing induces high predatory capacity in a solitary wolf spider and its potential in pest control. Ecology and Evolution. 13(4). e10024–e10024. 4 indexed citations

11.

Wang, Ju, et al.. (2023). Interaction of High Temperature Stress and Wolbachia Infection on the Biological Characteristic of Drosophila melanogaster. Insects. 14(6). 558–558. 2 indexed citations

12.

Li, Wei, et al.. (2023). Effects of the toxic metal zinc on the growth, development, and reproduction of the wolf spider Pardosa laura through its food Drosophila melanogaster. Chemosphere. 344. 140425–140425. 4 indexed citations

13.

Zhang, Fan, et al.. (2021). Deciphering the nexus between the tumor immune microenvironment and DNA methylation in subgrouping estrogen receptor-positive breast cancer. Breast Cancer. 28(6). 1252–1260. 2 indexed citations

14.

Zhang, Shichang, et al.. (2019). Mating experience affects male mating success, but not female fecundity in the wolf spider Pardosa pseudoannulata (Araneae: Lycosidae). Behavioural Processes. 167. 103921–103921. 3 indexed citations

15.

Zeng, Xiuli, Xuxuan Gao, Yu Peng, et al.. (2019). Higher Risk of Stroke Is Correlated With Increased Opportunistic Pathogen Load and Reduced Levels of Butyrate-Producing Bacteria in the Gut. Frontiers in Cellular and Infection Microbiology. 9. 4–4. 148 indexed citations

16.

He, Zhen, et al.. (2018). Effects of Wolbachia infection on the postmating response in Drosophila melanogaster. Behavioral Ecology and Sociobiology. 72(9). 12 indexed citations

17.

Peng, Yu, et al.. (2018). Ileum terminal antibiotic infusion affects jejunal and colonic specific microbial population and immune status in growing pigs. Journal of Animal Science and Biotechnology. 9(1). 51–51. 16 indexed citations

18.

Peng, Yu. (2009). Intraspecific behavioral variation in two populations of wild-caught Mandarin voles. Acta Theriologica Sinica. 1 indexed citations

19.

Peng, Yu, Changkun Chen, Zhaojun Han, Wang Yinchang, & Guoqing Li. (2001). Studies on resistant measurement to 3 insecticides and the synergisms of synergists and insecticide-mixtures in Chilo suppressalis. 23(3). 265–268. 1 indexed citations

20.

Peng, Yu, et al.. (1998). Field evaluations of Romanomermis yunanensis ( Nematoda : Mermithidae ) for control of Culicinae mosquitoes in China. Fundamental & applied nematology. 21(3). 227–232. 11 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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