Dai-Ling Wu

12 papers and 584 indexed citations i.

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 584 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 Ethics in Clinical Research (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 Ethics in Clinical Research (2 papers). Dai-Ling Wu collaborates with scholars based in China and The 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, Min Zhang and Maosheng Yao and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Environment International.

In The Last Decade

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

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.

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).

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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2025