Qiaoling Yu

2.0k total citations
93 papers, 1.5k citations indexed

About

Qiaoling Yu is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Qiaoling Yu has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 30 papers in Ecology and 27 papers in Pollution. Recurrent topics in Qiaoling Yu's work include Gut microbiota and health (23 papers), Pharmaceutical and Antibiotic Environmental Impacts (19 papers) and Environmental DNA in Biodiversity Studies (17 papers). Qiaoling Yu is often cited by papers focused on Gut microbiota and health (23 papers), Pharmaceutical and Antibiotic Environmental Impacts (19 papers) and Environmental DNA in Biodiversity Studies (17 papers). Qiaoling Yu collaborates with scholars based in China, Malaysia and Estonia. Qiaoling Yu's co-authors include Huan Li, Yixiang Duan, Wanghong Su, Tianshu Feng, Jiawei Yang, Qingyu Lin, Qian Han, Mian Gul Hilal, Yijie Wang and Xijing Chen and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Qiaoling Yu

87 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiaoling Yu China 22 546 379 298 190 145 93 1.5k
Ting Xu China 29 815 1.5× 305 0.8× 160 0.5× 371 2.0× 107 0.7× 128 2.3k
Yuan Yao United States 28 420 0.8× 177 0.5× 233 0.8× 259 1.4× 33 0.2× 110 2.4k
Liqin Wu China 24 456 0.8× 273 0.7× 291 1.0× 102 0.5× 70 0.5× 80 1.6k
Sanjay Swarup Singapore 33 1.8k 3.2× 199 0.5× 466 1.6× 264 1.4× 105 0.7× 124 4.0k
Xu Huang China 25 205 0.4× 1.4k 3.7× 275 0.9× 195 1.0× 144 1.0× 83 2.5k
Nigel G. Ternan United Kingdom 25 690 1.3× 341 0.9× 327 1.1× 234 1.2× 54 0.4× 67 2.0k
Jacques Mathieu United States 28 711 1.3× 1.2k 3.1× 680 2.3× 346 1.8× 211 1.5× 69 2.8k
Ke He United States 20 1.2k 2.2× 415 1.1× 152 0.5× 262 1.4× 220 1.5× 47 2.7k
Bing Tian China 30 1.6k 3.0× 254 0.7× 245 0.8× 309 1.6× 74 0.5× 135 2.8k
Volker Behrends United Kingdom 20 852 1.6× 491 1.3× 268 0.9× 223 1.2× 91 0.6× 46 2.3k

Countries citing papers authored by Qiaoling Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qiaoling Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiaoling Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiaoling Yu. A scholar is included among the top collaborators of Qiaoling Yu 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 Qiaoling Yu. Qiaoling Yu 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.
Qian, Yuan, Yiming Cao, Yu Wang, et al.. (2025). Metatranscriptomics reveals that plant tannins regulate the expression of intestinal antibiotic resistance genes in Qinghai voles (Neodon fuscus). Environmental Research. 271. 121119–121119. 1 indexed citations
2.
Bi, Jie, et al.. (2025). Metagenomics reveals rare and abundant resistome had different resistance and transmission risk in park environment. Environmental Technology & Innovation. 38. 104112–104112. 1 indexed citations
3.
Wang, Xiaochen, Yu Wang, Sijie Wang, et al.. (2024). Metagenomics reveals the potential transmission risk of resistomes from urban park environment to human. Journal of Hazardous Materials. 477. 135387–135387. 8 indexed citations
4.
Han, Qian, et al.. (2024). Gut microbiome and antibiotic resistance genes in plateau model animal (Ochotona curzoniae) exhibit a relative stability under cold stress. Journal of Hazardous Materials. 478. 135472–135472. 3 indexed citations
6.
Yu, Qiaoling, et al.. (2024). Gravesoil fungi are more sensitive than bacteria in response to precipitation. Soil Ecology Letters. 6(3). 2 indexed citations
7.
Yu, Qiaoling, Yuan Qian, Yu Wang, et al.. (2024). Virus communities rather than bacterial communities contribute more on nutrient pool in polluted aquatic environment. Journal of Environmental Sciences. 154. 550–562. 2 indexed citations
8.
Wang, Xiaochen, Qian Han, Qiaoling Yu, et al.. (2023). Mammalian carcass decay increases carbon storage and temporal turnover of carbon-fixing microbes in alpine meadow soil. Environmental Research. 225. 115653–115653. 7 indexed citations
10.
Su, Wanghong, Qiaoling Yu, Jiawei Yang, et al.. (2023). Cadaverine and putrescine exposure influence carbon and nitrogen cycling genes in water and sediment of the Yellow River. Journal of Environmental Sciences. 142. 236–247. 2 indexed citations
11.
Yang, Jiawei, Qiaoling Yu, Wanghong Su, et al.. (2023). Metagenomics reveals elevated temperature causes nitrogen accumulation mainly by inhibiting nitrate reduction process in polluted water. The Science of The Total Environment. 882. 163631–163631. 14 indexed citations
12.
Yu, Qiaoling, Qian Han, Sijie Wang, et al.. (2023). Precipitation weakens the gravesoil fungal richness and species interactions in the Qinghai-Tibet Plateau. Applied Soil Ecology. 189. 104958–104958. 3 indexed citations
13.
14.
Xiong, Xiong, Sijie Wang, Qian Han, et al.. (2023). Fate of high-risk antibiotic resistance genes in large-scale aquaculture sediments: Geographical differentiation and corresponding drivers. The Science of The Total Environment. 905. 167068–167068. 13 indexed citations
15.
Yu, Qiaoling, et al.. (2023). Copper and temperature shaped abundant and rare community assembly respectively in the Yellow River. Applied Microbiology and Biotechnology. 107(11). 3847–3858. 3 indexed citations
16.
Hilal, Mian Gul, Rui Zhou, Qiaoling Yu, et al.. (2022). Successions of rare and abundant microbial subcommunities during fish carcass decomposition in a microcosm under the influence of variable factors. FEMS Microbiology Letters. 369(1). 1 indexed citations
17.
Yang, Jiawei, Qiaoling Yu, Wanghong Su, et al.. (2022). Metagenomics reveals that temperature predicts a small proportion of antibiotic resistomes and mobile genetic elements in polluted water. Environmental Pollution. 317. 120793–120793. 14 indexed citations
18.
Yu, Qiaoling, Qin Zhang, Jing Guo, et al.. (2022). A pan-cancer analysis of molecular characteristics and oncogenic role of gasdermins. Cancer Cell International. 22(1). 80–80. 23 indexed citations
19.
Fu, Rongguo, Jie Gao, Qiaoling Yu, et al.. (2016). Association of Megsin Gene Variants With IgA Nephropathy in Northwest Chinese Population. Medicine. 95(6). e2694–e2694. 1 indexed citations
20.
Gao, Jie, Qiaoling Yu, Rongguo Fu, et al.. (2015). Lack of Association Between Polymorphisms in AGT and ATR1 and IgA Nephropathy in a Chinese Population. Genetic Testing and Molecular Biomarkers. 19(12). 710–713. 4 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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