Song Quan

100 papers and 1.2k indexed citations i.

About

Song Quan is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Song Quan has authored 100 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Reproductive Medicine, 44 papers in Public Health, Environmental and Occupational Health and 28 papers in Immunology. Recurrent topics in Song Quan’s work include Reproductive Biology and Fertility (36 papers), Reproductive System and Pregnancy (27 papers) and Ovarian function and disorders (23 papers). Song Quan is often cited by papers focused on Reproductive Biology and Fertility (36 papers), Reproductive System and Pregnancy (27 papers) and Ovarian function and disorders (23 papers). Song Quan collaborates with scholars based in China, Hong Kong and United States. Song Quan's co-authors include Rui Hua, Shiyou Wei, Yao Zhou, Miaoling Lin, Zhiqiang Yu, Pei Li, Jing Ma, Xiang‐Hong Ou, Fu-qi Xing and Lei Guo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

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

Fields of papers citing papers by Song Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Quan

Since Specialization
Citations

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