Song Tang

157 papers and 4.9k indexed citations i.

About

Song Tang is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Song Tang has authored 157 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Health, Toxicology and Mutagenesis, 32 papers in Molecular Biology and 18 papers in Environmental Chemistry. Recurrent topics in Song Tang’s work include Toxic Organic Pollutants Impact (30 papers), Air Quality and Health Impacts (24 papers) and Effects and risks of endocrine disrupting chemicals (24 papers). Song Tang is often cited by papers focused on Toxic Organic Pollutants Impact (30 papers), Air Quality and Health Impacts (24 papers) and Effects and risks of endocrine disrupting chemicals (24 papers). Song Tang collaborates with scholars based in China, Canada and United States. Song Tang's co-authors include Marie T. Filbin, María Elena de Bellard, Xiaoming Shi, Dongming Cai, John P. Giesy, Markus Hecker, John S. Ji, Lijun Pan, Gregory D. Mayer and Hongling Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Song Tang i

Fields of papers citing papers by Song Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Tang

Since Specialization
Citations

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