Dai-Ling Wu

903 total citations · 1 hit paper
12 papers, 701 citations indexed

About

Dai-Ling Wu is a scholar working on Pollution, Molecular Medicine and Ecology. According to data from OpenAlex, Dai-Ling Wu has authored 12 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pollution, 7 papers in Molecular Medicine and 3 papers in Ecology. Recurrent topics in Dai-Ling Wu's work include Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Antibiotic Resistance in Bacteria (7 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Dai-Ling Wu is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Antibiotic Resistance in Bacteria (7 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Dai-Ling Wu collaborates with scholars based in China and Netherlands. Dai-Ling Wu's co-authors include Guang‐Guo Ying, Liang-Ying He, Haiyan Zou, Fang-Zhou Gao, Hong Bai, Min Zhang, Lu-Xi He, You‐Sheng Liu, Maosheng Yao and Min Zhang and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Environment International.

In The Last Decade

Dai-Ling Wu

12 papers receiving 692 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

From river to groundwater: Antibiotics pollution, resistance prevalence, and source tracking

2025 23 citations Dai-Ling Wu, Hong Bai et al. Environment International profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dai-Ling Wu China	10	509	214	145	138	88	12	701
Lu-Xi He China	16	528 1.0×	164 0.8×	127 0.9×	144 1.0×	83 0.9×	21	766
Wenjie Hong China	7	497 1.0×	239 1.1×	204 1.4×	203 1.5×	46 0.5×	9	805
Linyun Li China	13	426 0.8×	211 1.0×	170 1.2×	91 0.7×	108 1.2×	25	851
Xinyi Shuai China	16	587 1.2×	282 1.3×	162 1.1×	118 0.9×	167 1.9×	25	846
Zejun Lin China	16	584 1.1×	281 1.3×	162 1.1×	118 0.9×	166 1.9×	26	842
Ya He China	15	444 0.9×	155 0.7×	202 1.4×	167 1.2×	93 1.1×	28	920
Adriana Osińska Poland	10	550 1.1×	323 1.5×	152 1.0×	98 0.7×	101 1.1×	22	762
Milena Milaković Croatia	9	501 1.0×	209 1.0×	105 0.7×	94 0.7×	107 1.2×	10	704
Jens Schönfeld Germany	4	605 1.2×	271 1.3×	116 0.8×	110 0.8×	131 1.5×	9	787
Sebastian Niestępski Poland	9	497 1.0×	271 1.3×	130 0.9×	91 0.7×	101 1.1×	19	662

Countries citing papers authored by Dai-Ling Wu

Since Specialization

Citations

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

Fields of papers citing papers by Dai-Ling Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai-Ling Wu. 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 Dai-Ling Wu. The network helps show where Dai-Ling Wu may publish in the future.

Co-authorship network of co-authors of Dai-Ling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dai-Ling Wu. A scholar is included among the top collaborators of Dai-Ling Wu 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 Dai-Ling Wu. Dai-Ling Wu 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:

12 of 12 papers shown

1.

Wu, Dai-Ling, et al.. (2025). Effects of the drug carbamazepine on the structure and functioning of a freshwater aquatic ecosystem. Ecotoxicology and Environmental Safety. 294. 118009–118009. 1 indexed citations

2.

Wu, Dai-Ling, Hong Bai, Liang-Ying He, et al.. (2025). From river to groundwater: Antibiotics pollution, resistance prevalence, and source tracking. Environment International. 196. 109305–109305. 23 indexed citations breakdown →

3.

Wu, Dai-Ling, et al.. (2024). Effects of environmentally relevant concentrations of citalopram in freshwater mesocosms. Environmental Pollution. 367. 125570–125570. 1 indexed citations

4.

Bai, Hong, Liang-Ying He, Fang-Zhou Gao, et al.. (2023). Airborne antibiotic resistome and human health risk in railway stations during COVID-19 pandemic. Environment International. 172. 107784–107784. 16 indexed citations

5.

He, Liang-Ying, Lunkai He, Fang-Zhou Gao, et al.. (2021). Dissipation of antibiotic resistance genes in manure-amended agricultural soil. The Science of The Total Environment. 787. 147582–147582. 42 indexed citations

6.

Zou, Haiyan, Liang-Ying He, Fang-Zhou Gao, et al.. (2021). Antibiotic resistance genes in surface water and groundwater from mining affected environments. The Science of The Total Environment. 772. 145516–145516. 80 indexed citations

7.

Bai, Hong, Liang-Ying He, Dai-Ling Wu, et al.. (2021). Spread of airborne antibiotic resistance from animal farms to the environment: Dispersal pattern and exposure risk. Environment International. 158. 106927–106927. 142 indexed citations

8.

He, Lu-Xi, Liang-Ying He, Fang-Zhou Gao, et al.. (2021). Antibiotics, antibiotic resistance genes and microbial community in grouper mariculture. The Science of The Total Environment. 808. 152042–152042. 63 indexed citations

9.

Gao, Fang-Zhou, Haiyan Zou, Dai-Ling Wu, et al.. (2020). Swine farming elevated the proliferation of Acinetobacter with the prevalence of antibiotic resistance genes in the groundwater. Environment International. 136. 105484–105484. 116 indexed citations

10.

Gao, Fang-Zhou, Liang-Ying He, Lu-Xi He, et al.. (2020). Untreated swine wastes changed antibiotic resistance and microbial community in the soils and impacted abundances of antibiotic resistance genes in the vegetables. The Science of The Total Environment. 741. 140482–140482. 96 indexed citations

11.

He, Lu-Xi, Yuxiao Cheng, Ye Pu, et al.. (2020). Trace analysis of 28 antibiotics in plant tissues (root, stem, leaf and seed) by optimized QuEChERS pretreatment with UHPLC-MS/MS detection. Journal of Chromatography B. 1161. 122450–122450. 15 indexed citations

12.

Wu, Dai-Ling, Min Zhang, Lu-Xi He, et al.. (2020). Contamination profile of antibiotic resistance genes in ground water in comparison with surface water. The Science of The Total Environment. 715. 136975–136975. 106 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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