Yuting Yang

1.3k total citations
48 papers, 920 citations indexed

About

Yuting Yang is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Yuting Yang has authored 48 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 18 papers in Molecular Biology and 18 papers in Insect Science. Recurrent topics in Yuting Yang's work include Insect-Plant Interactions and Control (12 papers), Insect and Pesticide Research (11 papers) and Neurobiology and Insect Physiology Research (7 papers). Yuting Yang is often cited by papers focused on Insect-Plant Interactions and Control (12 papers), Insect and Pesticide Research (11 papers) and Neurobiology and Insect Physiology Research (7 papers). Yuting Yang collaborates with scholars based in China, Tunisia and United States. Yuting Yang's co-authors include Youxiong Que, Liping Xu, Yachun Su, Youjun Zhang, Qingjun Wu, Jinlong Guo, Shaoli Wang, Wen Xie, Yun Chen and Caihua Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Yuting Yang

41 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Yang China 18 578 411 233 98 97 48 920
Wanshun Li China 13 475 0.8× 456 1.1× 73 0.3× 42 0.4× 28 0.3× 29 832
Huilin Yu China 18 479 0.8× 335 0.8× 391 1.7× 43 0.4× 30 0.3× 39 913
Yuling Liu China 12 195 0.3× 394 1.0× 93 0.4× 112 1.1× 12 0.1× 46 674
Shou‐Min Fang China 13 114 0.2× 278 0.7× 249 1.1× 60 0.6× 12 0.1× 21 493
Limei He China 17 678 1.2× 702 1.7× 394 1.7× 30 0.3× 23 0.2× 52 1.1k
Alison Coluccio United States 14 657 1.1× 551 1.3× 45 0.2× 15 0.2× 63 0.6× 16 1.2k
Xiaolong Liu China 18 671 1.2× 230 0.6× 99 0.4× 67 0.7× 19 0.2× 53 936
Xiaoyan Cheng China 11 500 0.9× 324 0.8× 250 1.1× 16 0.2× 13 0.1× 31 789
Kun Qian China 15 157 0.3× 380 0.9× 309 1.3× 84 0.9× 8 0.1× 58 616
Guru Jagadeeswaran United States 23 2.6k 4.5× 1.5k 3.6× 140 0.6× 29 0.3× 90 0.9× 32 3.1k

Countries citing papers authored by Yuting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Yang. A scholar is included among the top collaborators of Yuting Yang 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 Yuting Yang. Yuting Yang 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.
Liu, Haifeng, Pengfei Li, Haocheng Huang, et al.. (2025). Probiotic Characteristics and Whole Genome Analysis of Lactiplantibacillus plantarum PM8 from Giant Panda (Ailuropoda melanoleuca) Milk. Probiotics and Antimicrobial Proteins. 17(6). 5148–5166. 1 indexed citations
2.
Su, Qi, Fengbo Yang, Yuan Hu, et al.. (2025). Flavonoids enhance tomato plant resistance to whitefly by interfering with the expression of a salivary effector. PLANT PHYSIOLOGY. 197(3). 5 indexed citations
3.
Yang, Yuting, Yi Qin, Liang Tian, et al.. (2025). The transcriptional factor MntR mediates hyperosmotic stress resistance by positively regulating the glycine betaine uptake system Gbu in Listeria monocytogenes. Food Bioscience. 68. 106694–106694. 1 indexed citations
4.
5.
Liu, Wenqing, et al.. (2025). Plectranthus tomentosa effectively repels and control Bemisia tabaci MED with its volatiles. Crop Protection. 194. 107228–107228.
6.
Yang, Fengbo, Tianyu Huang, Tong Zheng Hong, et al.. (2024). Herbivore-induced volatiles reduce the susceptibility of neighboring tomato plants to transmission of a whitefly-borne begomovirus. Journal of Experimental Botany. 75(20). 6663–6675. 3 indexed citations
7.
Liu, Haifeng, Haocheng Huang, Yifan Liu, et al.. (2024). Adipose-derived mesenchymal stem cells inhibit hepatic stellate cells activation to alleviate liver fibrosis via Hippo pathway. Stem Cell Research & Therapy. 15(1). 378–378. 2 indexed citations
8.
Fang, Chang, Fang Zeng, Shijun Chen, et al.. (2024). Gender Impacted Gut Microbiota and Growth Performance in the Blotched Snakehead (Channa maculata). Microorganisms. 12(5). 871–871. 1 indexed citations
9.
Yang, Yuting, et al.. (2024). Key amino acids in odorant-binding protein OBP7 enable Bradysia odoriphaga to recognize host plant volatiles. International Journal of Biological Macromolecules. 284(Pt 2). 138179–138179. 8 indexed citations
10.
11.
Wang, Fu, et al.. (2023). Odorant-binding Protein 10 From Bradysia odoriphaga (Diptera: Sciaridae) Binds Volatile Host Plant Compounds. Journal of Insect Science. 23(1). 10 indexed citations
12.
Gao, Shiwu, Yingying Yang, Yuting Yang, et al.. (2022). Identification of Low-Nitrogen-Related miRNAs and Their Target Genes in Sugarcane and the Role of miR156 in Nitrogen Assimilation. International Journal of Molecular Sciences. 23(21). 13187–13187. 8 indexed citations
13.
Yang, Yuting, et al.. (2022). Chemosensory protein 4 is required for Bradysia odoriphaga to be olfactory attracted to sulfur compounds released from Chinese chives. Frontiers in Physiology. 13. 989601–989601. 6 indexed citations
14.
Zhu, Yingfang, Bangshing Wang, Kai Tang, et al.. (2017). An Arabidopsis Nucleoporin NUP85 modulates plant responses to ABA and salt stress. PLoS Genetics. 13(12). e1007124–e1007124. 69 indexed citations
15.
Yang, Yuting, Xu Zhang, Yachun Su, et al.. (2017). miRNA alteration is an important mechanism in sugarcane response to low-temperature environment. BMC Genomics. 18(1). 833–833. 61 indexed citations
16.
Yang, Yuting, Xu Zhang, Yun Chen, et al.. (2016). Selection of Reference Genes for Normalization of MicroRNA Expression by RT-qPCR in Sugarcane Buds under Cold Stress. Frontiers in Plant Science. 7. 86–86. 33 indexed citations
17.
Su, Yachun, Liping Xu, Zhuqing Wang, et al.. (2016). Comparative proteomics reveals that central metabolism changes are associated with resistance against Sporisorium scitamineum in sugarcane. BMC Genomics. 17(1). 800–800. 51 indexed citations
18.
Su, Yachun, Yuting Yang, Qiong Peng, et al.. (2016). Development and application of a rapid and visual loop-mediated isothermal amplification for the detection of Sporisorium scitamineum in sugarcane. Scientific Reports. 6(1). 23994–23994. 23 indexed citations
19.
Deng, Bing, Tiantian Yu, Yuting Yang, et al.. (2015). Identification of genes and pathways related to lipopolysaccharide signaling in duckling spleens. Genetics and Molecular Research. 14(4). 17312–17321.
20.
Yang, Yuting, Zhiwei Fu, Yachun Su, et al.. (2014). A cytosolic glucose-6-phosphate dehydrogenase gene, ScG6PDH, plays a positive role in response to various abiotic stresses in sugarcane. Scientific Reports. 4(1). 7090–7090. 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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