Honglin Song

38 papers and 1.4k indexed citations i.

About

Honglin Song is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Honglin Song has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Genetics and 12 papers in Reproductive Medicine. Recurrent topics in Honglin Song’s work include BRCA gene mutations in cancer (14 papers), Ovarian cancer diagnosis and treatment (12 papers) and Epigenetics and DNA Methylation (7 papers). Honglin Song is often cited by papers focused on BRCA gene mutations in cancer (14 papers), Ovarian cancer diagnosis and treatment (12 papers) and Epigenetics and DNA Methylation (7 papers). Honglin Song collaborates with scholars based in United Kingdom, United States and Denmark. Honglin Song's co-authors include Zheng Ye, Paul D.P. Pharoah, Simon A. Gayther, Douglas F. Easton, Estrid Høgdall, Susan J. Ramus, Alice S. Whittemore, Richard A. DiCioccio, Susanne K. Kjær and Alison M. Dunning and has published in prestigious journals such as PLoS ONE, Cancer Research and Gut.

In The Last Decade

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

Fields of papers citing papers by Honglin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Honglin Song

Since Specialization
Citations

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