Май

25 papers and 1.4k indexed citations i.

About

Май is a scholar working on Health, Toxicology and Mutagenesis, Surgery and Epidemiology. According to data from OpenAlex, Май has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Май’s work include Toxic Organic Pollutants Impact (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Microplastics and Plastic Pollution (2 papers). Май is often cited by papers focused on Toxic Organic Pollutants Impact (6 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Microplastics and Plastic Pollution (2 papers). Май collaborates with scholars based in China, United States and Denmark. Май's co-authors include Fu, Sheng Sheng, Eddy Y. Zeng, Chen, Peng Peng, Gan Zhang, Yang, Yang Yang, Xiao‐Jun Luo and Qi and has published in prestigious journals such as Environmental Science & Technology, British Journal of Clinical Pharmacology and Geoforum.

In The Last Decade

Co-authorship network of co-authors of Май i

Fields of papers citing papers by Май

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Май

Since Specialization
Citations

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