Qing Yuan

578 total citations
35 papers, 425 citations indexed

About

Qing Yuan is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Qing Yuan has authored 35 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 8 papers in Molecular Biology and 5 papers in Insect Science. Recurrent topics in Qing Yuan's work include Phytoplasmas and Hemiptera pathogens (6 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Virus Research Studies (5 papers). Qing Yuan is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (6 papers), Plant Disease Resistance and Genetics (6 papers) and Plant Virus Research Studies (5 papers). Qing Yuan collaborates with scholars based in China, Macao and Italy. Qing Yuan's co-authors include Yunni Xia, Guoxiong Peng, Hao Hu, Yanni Yin, Siji Nian, Youping Yin, Zhongkang Wang, John S. Hartung, Xia Luo and Yang Zhi-rong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Scientific Reports.

In The Last Decade

Qing Yuan

32 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Yuan China 12 267 108 79 62 52 35 425
Yoshihiro Ohtsu Japan 15 354 1.3× 117 1.1× 37 0.5× 30 0.5× 50 1.0× 33 486
Mengnan An China 16 410 1.5× 154 1.4× 52 0.7× 9 0.1× 12 0.2× 53 550
Lichao Qian China 12 713 2.7× 311 2.9× 84 1.1× 19 0.3× 15 0.3× 23 899
Meng Han China 9 202 0.8× 110 1.0× 50 0.6× 11 0.2× 40 0.8× 16 310
Sture Brishammar Sweden 13 278 1.0× 138 1.3× 77 1.0× 6 0.1× 16 0.3× 25 466
Yoshitaka Kosaka Japan 13 541 2.0× 129 1.2× 87 1.1× 42 0.7× 2 0.0× 28 604
Mladen Krajačić Croatia 12 271 1.0× 92 0.9× 59 0.7× 30 0.5× 4 0.1× 39 368
Seyed Mehdi Alavi Iran 9 210 0.8× 94 0.9× 46 0.6× 9 0.1× 2 0.0× 34 356
Gustavo G.L. Costa Brazil 12 374 1.4× 223 2.1× 16 0.2× 195 3.1× 37 0.7× 22 620
Fangliang Zheng China 11 186 0.7× 112 1.0× 26 0.3× 3 0.0× 12 0.2× 44 379

Countries citing papers authored by Qing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Qing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Yuan. A scholar is included among the top collaborators of Qing Yuan 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 Qing Yuan. Qing Yuan 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.
Yuan, Qing, Xiaojie Song, Hao Wu, et al.. (2025). Evaluation of genetic diversity of <i>Chrysanthemum</i> germplasm resources based on floral phenotypic traits. SHILAP Revista de lepidopterología. 5(1). 0–0.
2.
Shu, Pan, Jiping Sheng, Qing Yuan, & Lin Shen. (2025). Metabolomic profiling unveils metabolites that are co-regulated by the tomato fruit ripening and the cold stress response. Postharvest Biology and Technology. 224. 113473–113473. 1 indexed citations
3.
Zhang, Bing, Hua Qiu, Hailin Zhang, et al.. (2025). Significant generational effects of tetracyclines upon the promoting plasmid-mediated conjugative transfer between typical wastewater bacteria and its mechanisms. Water Research. 287(Pt A). 124290–124290. 10 indexed citations
5.
Shu, Pan, Jiping Sheng, Qing Yuan, & Lin Shen. (2024). Resveratrol and nitric oxide synergistically enhance resistance against B. cinerea in tomato fruit by regulating phytohormones. Food Research International. 197(Pt 1). 115262–115262. 3 indexed citations
6.
Shu, Pan, Jiping Sheng, Qing Yuan, & Lin Shen. (2024). SlATG5 is crucial for the accumulation of ROS in postharvest tomato fruit resistance to B.cinerea mediated by nitric oxide. Postharvest Biology and Technology. 219. 113204–113204. 5 indexed citations
7.
Yan, Lang, Yan Li, Qing Yuan, et al.. (2022). Integrative Analysis of Genes Involved in the Global Response to Potato Wart Formation. Frontiers in Plant Science. 13. 865716–865716.
8.
Yan, Lang, Yizheng Zhang, Qing Yuan, et al.. (2021). Genome assembly of primitive cultivated potato Solanum stenotomum provides insights into potato evolution. G3 Genes Genomes Genetics. 11(10). 10 indexed citations
9.
Li, Qiang, Lijiao Li, Wenying Tu, et al.. (2021). Characterization of the Complete Mitochondrial Genome of Basidiomycete Yeast Hannaella oryzae: Intron Evolution, Gene Rearrangement, and Its Phylogeny. Frontiers in Microbiology. 12. 646567–646567. 30 indexed citations
10.
Chen, Qi, Juan Liu, Yuxin Zhuang, et al.. (2019). Identification of an IKKβ inhibitor for inhibition of inflammation in vivo and in vitro. Pharmacological Research. 149. 104440–104440. 17 indexed citations
11.
Song, Zhangyong, Jie Yang, Caiyan Xin, et al.. (2018). A transcription factor, MrMsn2, in the dimorphic fungus Metarhizium rileyi is essential for dimorphism transition, aggravated pigmentation, conidiation and microsclerotia formation. Microbial Biotechnology. 11(6). 1157–1169. 20 indexed citations
12.
Nian, Siji, et al.. (2016). Development and identification of fully human scFv-Fcs against Staphylococcus aureus. BMC Immunology. 17(1). 8–8. 17 indexed citations
13.
Yuan, Qing, R. Jordan, Ronald H. Brlansky, Olga Minenkova, & John S. Hartung. (2015). Development of single chain variable fragment (scFv) antibodies against surface proteins of ‘Ca. Liberibacter asiaticus’. Journal of Microbiological Methods. 122. 1–7. 14 indexed citations
14.
Yuan, Qing, et al.. (2015). Development of single chain variable fragment (scFv) antibodies against Xylella fastidiosa subsp. pauca by phage display. Journal of Microbiological Methods. 117. 148–154. 15 indexed citations
15.
Jiang, Xingliang, Qin Hu, Qing Yuan, et al.. (2012). Comparison between AC and DC flashover performance and discharge process of ice-covered insulators under the conditions of low air pressure and pollution. IET Generation Transmission & Distribution. 6(9). 884–892. 18 indexed citations
16.
Liang, Xue, Qing Yuan, Ying Yang, & Jiarui Wu. (2009). Enzymatic preparation of an artificial microRNA library. Biochemical and Biophysical Research Communications. 390(3). 791–796. 1 indexed citations
18.
Wang, Zhongkang, et al.. (2005). Detection of mix-infected potato viruses with multiplex RT-PCR.. Acta Phytopathologica Sinica. 35(2). 109–115. 2 indexed citations
19.
Yuan, Qing. (2003). Screening for Genetic Resistance of Alfalfa to Pseudopeziza Medicaginis by Inoculation of Leaf Tissue and Field Evaluation of the Plants. Acta Agrestia Sinica. 1 indexed citations
20.
Yuan, Qing. (2002). Comparison of the activities of SOD, POD and PPO within alfalfa cultivars resistant and susceptible to alfalfa common leaf. Acta Pratacultural Science. 2 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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