Jun Dai

27 papers and 855 indexed citations i.

About

Jun Dai is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, Jun Dai has authored 27 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 6 papers in Environmental Chemistry. Recurrent topics in Jun Dai’s work include Heavy metals in environment (7 papers), Arsenic contamination and mitigation (6 papers) and Heavy Metal Exposure and Toxicity (5 papers). Jun Dai is often cited by papers focused on Heavy metals in environment (7 papers), Arsenic contamination and mitigation (6 papers) and Heavy Metal Exposure and Toxicity (5 papers). Jun Dai collaborates with scholars based in China, Australia and France. Jun Dai's co-authors include Fang‐Jie Zhao, Peng Wang, Zhu Tang, Peter M. Kopittke, Chenglian Bai, Changjiang Huang, Yuanhong Chen, Qiaoxiang Dong, Yang Xiang and Chi Zhang and has published in prestigious journals such as Environmental Science & Technology, Environmental Pollution and Soil Biology and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Jun Dai i

Fields of papers citing papers by Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Dai

Since Specialization
Citations

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