Weiling Sun

7.3k total citations · 1 hit paper
148 papers, 6.0k citations indexed

About

Weiling Sun is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Materials Chemistry. According to data from OpenAlex, Weiling Sun has authored 148 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Pollution, 49 papers in Health, Toxicology and Mutagenesis and 29 papers in Materials Chemistry. Recurrent topics in Weiling Sun's work include Pharmaceutical and Antibiotic Environmental Impacts (54 papers), Toxic Organic Pollutants Impact (26 papers) and Effects and risks of endocrine disrupting chemicals (20 papers). Weiling Sun is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (54 papers), Toxic Organic Pollutants Impact (26 papers) and Effects and risks of endocrine disrupting chemicals (20 papers). Weiling Sun collaborates with scholars based in China, United States and Romania. Weiling Sun's co-authors include Jinren Ni, Nan Xu, Si Li, Jingrun Hu, Weiyi Pan, Wei Zhang, Xiuqi You, Yitao Lyu, Wen Liu and Guangcai Tan and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Weiling Sun

146 papers receiving 6.0k citations

Hit Papers

A duodecennial national synthesis of antibiotics in China... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiling Sun China 43 2.4k 1.8k 1.4k 1.2k 1.0k 148 6.0k
Zhigang Yu China 36 1.9k 0.8× 1.2k 0.7× 955 0.7× 739 0.6× 946 0.9× 89 5.1k
Xuejun Pan China 40 1.6k 0.7× 1.7k 1.0× 860 0.6× 1.1k 1.0× 849 0.8× 223 5.2k
Lizhong Zhu China 45 2.4k 1.0× 1.5k 0.8× 691 0.5× 1.5k 1.3× 650 0.6× 187 6.9k
Jiti Zhou China 42 1.8k 0.7× 1.4k 0.8× 991 0.7× 933 0.8× 676 0.7× 176 5.5k
Pin Gao China 43 2.4k 1.0× 1.1k 0.6× 922 0.7× 881 0.7× 1.3k 1.3× 140 5.9k
Valdemar I. Esteves Portugal 46 2.7k 1.1× 1.6k 0.9× 724 0.5× 1.5k 1.2× 664 0.7× 164 6.3k
Kuangfei Lin China 47 2.9k 1.2× 1.7k 1.0× 935 0.7× 2.5k 2.1× 1.0k 1.0× 215 6.9k
Dong Wei China 48 2.3k 0.9× 2.3k 1.3× 1.2k 0.9× 810 0.7× 1.2k 1.2× 154 6.3k
Huilun Chen China 41 1.8k 0.7× 1.1k 0.6× 719 0.5× 937 0.8× 656 0.6× 157 4.8k
Titus A.M. Msagati South Africa 41 1.1k 0.5× 1.7k 1.0× 1.7k 1.2× 763 0.6× 893 0.9× 296 7.4k

Countries citing papers authored by Weiling Sun

Since Specialization
Citations

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

Fields of papers citing papers by Weiling Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiling Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Weiling Sun. A scholar is included among the top collaborators of Weiling Sun 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 Weiling Sun. Weiling Sun 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.
Hu, Jingrun, Yitao Lyu, Yi Liu, et al.. (2025). Incorporating Transformation Products for an Integrated Assessment of Antibiotic Pollution and Risks in Surface Water. Environmental Science & Technology. 59(5). 2815–2826. 11 indexed citations
2.
Li, S., et al.. (2025). Anthropogenic PFAS or Natural Products? Natural Products Cause Overestimation of C2–C5 Perfluoroalkyl Carboxylic Acid Levels. Environmental Science & Technology. 59(22). 11194–11204. 6 indexed citations
3.
Hu, Jingrun, Yi Liu, X. X. Zhang, et al.. (2025). Integrated wide-scope and class-specific nontarget analysis reveals a broad spectrum of organic micropollutants in an urban river. Water Research. 285. 124145–124145. 2 indexed citations
5.
Gao, Shu-Hong, Hong‐Cheng Wang, Liying Zhang, et al.. (2025). Big data integration for environmental risk assessment of emerging contaminants. Nature Sustainability. 9(2). 196–206. 1 indexed citations
6.
Liu, Yong, Wu Yang, Si Li, et al.. (2024). Profiles, drivers, and prioritization of antibiotics in China’s major rivers. Journal of Hazardous Materials. 477. 135399–135399. 35 indexed citations
7.
Jin, Jun‐Cheng, Weiling Sun, Yukun Bao, et al.. (2024). Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips. SHILAP Revista de lepidopterología. 5. 9 indexed citations
9.
Li, Dongfeng, Ting Zhang, Desmond E. Walling, et al.. (2024). The competing controls of glaciers, precipitation, and vegetation on high-mountain fluvial sediment yields. Science Advances. 10(48). eads6196–eads6196. 14 indexed citations
10.
Sun, Weiling, Jun‐Cheng Jin, Muhammad Siraj, et al.. (2024). Neural Functions Enabled by a Polarity-Switchable Nanofluidic Memristor. Nano Letters. 24(40). 12515–12521. 11 indexed citations
11.
Xu, Xuming, Huan Chen, Lei Du, et al.. (2024). Distribution and drivers of co−hosts of antibiotic and metal(loid) resistance genes in the fresh−brackish−saline groundwater. Chemosphere. 365. 143332–143332. 3 indexed citations
12.
Wu, Yang, Si Li, Ke Yu, et al.. (2023). Wastewater treatment plant effluents exert different impacts on antibiotic resistome in water and sediment of the receiving river: Metagenomic analysis and risk assessment. Journal of Hazardous Materials. 460. 132528–132528. 43 indexed citations
13.
You, Xiuqi, Nan Xu, Xi Yang, & Weiling Sun. (2021). Pollutants affect algae-bacteria interactions: A critical review. Environmental Pollution. 276. 116723–116723. 118 indexed citations
14.
You, Xiuqi, Xiaoqiang Cao, Xuan Zhang, Jianhua Guo, & Weiling Sun. (2021). Unraveling individual and combined toxicity of nano/microplastics and ciprofloxacin to Synechocystis sp. at the cellular and molecular levels. Environment International. 157. 106842–106842. 92 indexed citations
15.
Li, Huimin, Haodong Ji, Zengqiang Zhang, et al.. (2020). Hydrogen bonding rather than cation bridging promotes graphene oxide attachment to lipid membranes in the presence of heavy metals. Environmental Science Nano. 7(8). 2240–2251. 6 indexed citations
17.
Li, Aolin, Lujun Chen, Yan Zhang, et al.. (2018). Occurrence and distribution of antibiotic resistance genes in the sediments of drinking water sources, urban rivers, and coastal areas in Zhuhai, China. Environmental Science and Pollution Research. 25(26). 26209–26217. 51 indexed citations
18.
Xu, Nan, Jinren Ni, Weiling Sun, & Alistair G.L. Borthwick. (2007). Role of dissolved organic carbon in the cosorption of copper and phthalate esters onto Yellow River sediments. Chemosphere. 69(9). 1419–1427. 15 indexed citations
19.
Ni, Jinren, et al.. (2007). Modification of Chemical Oxygen Demand Monitoring in the Yellow River, China, with a High Content of Sediments. Water Environment Research. 79(11). 2336–2342. 5 indexed citations
20.
Sun, Weiling, Jinren Ni, Nan Xu, & Li‐Ying Sun. (2006). Fluorescence of sediment humic substance and its effect on the sorption of selected endocrine disruptors. Chemosphere. 66(4). 700–707. 53 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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