Weiyi Song

28 papers and 319 indexed citations i.

About

Weiyi Song is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Obstetrics and Gynecology. According to data from OpenAlex, Weiyi Song has authored 28 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Health, Toxicology and Mutagenesis and 4 papers in Obstetrics and Gynecology. Recurrent topics in Weiyi Song’s work include Effects and risks of endocrine disrupting chemicals (5 papers), Pregnancy and preeclampsia studies (3 papers) and Toxic Organic Pollutants Impact (3 papers). Weiyi Song is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (5 papers), Pregnancy and preeclampsia studies (3 papers) and Toxic Organic Pollutants Impact (3 papers). Weiyi Song collaborates with scholars based in China, Macao and United States. Weiyi Song's co-authors include Wei Ge, Zhiwei Zhang, Kun Wu, Weiting Chen, Mingming Qin, Queenie Wing-Lei Wong, Juan Li, Guomin Liu, Huijie Lu and Saifei Lei and has published in prestigious journals such as Journal of Neuroscience, Environmental Science & Technology and Development.

In The Last Decade

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

Fields of papers citing papers by Weiyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weiyi Song

Since Specialization
Citations

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