Honglin Song

37 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 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 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 Paul D.P. Pharoah, Simon A. Gayther, Susan J. Ramus, Estrid Høgdall and Douglas F. Easton and has published in prestigious journals such as PLoS ONE, Cancer Research and Gut.

In The Last Decade

Fields of papers citing papers by Honglin Song

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Honglin Song. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025