Min Nian

36 papers and 1.8k indexed citations i.

About

Min Nian is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Obstetrics and Gynecology. According to data from OpenAlex, Min Nian has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Chemistry, 18 papers in Health, Toxicology and Mutagenesis and 7 papers in Obstetrics and Gynecology. Recurrent topics in Min Nian’s work include Perfluoroalkyl and Polyfluoroalkyl Substances in the Environment (21 papers), Toxic Organic Pollutants Impact (13 papers) and Air Quality and Health Impacts (7 papers). Min Nian is often cited by papers focused on Perfluoroalkyl and Polyfluoroalkyl Substances in the Environment (21 papers), Toxic Organic Pollutants Impact (13 papers) and Air Quality and Health Impacts (7 papers). Min Nian collaborates with scholars based in China, Canada and United States. Min Nian's co-authors include Neelam Khaper, Paul C. Lee, Peter Liu, Jun Zhang, Kai Luo, Ruxianguli Aimuzi, Yuqing Wang, Ying Tian, Xiaona Huo and David M. Irwin and has published in prestigious journals such as Environmental Science & Technology, Circulation Research and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Min Nian i

Fields of papers citing papers by Min Nian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Nian

Since Specialization
Citations

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