Song Liu

56 papers and 1.8k indexed citations i.

About

Song Liu is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Song Liu has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Epidemiology and 15 papers in Infectious Diseases. Recurrent topics in Song Liu’s work include Cellular transport and secretion (6 papers), Autophagy in Disease and Therapy (6 papers) and COVID-19 Clinical Research Studies (5 papers). Song Liu is often cited by papers focused on Cellular transport and secretion (6 papers), Autophagy in Disease and Therapy (6 papers) and COVID-19 Clinical Research Studies (5 papers). Song Liu collaborates with scholars based in China, United States and Japan. Song Liu's co-authors include Bingwei Lu, James A. McNew, Chi Zhang, Hongyi Zhou, Yaoqi Zhou, Seongsoo Lee, Diana Pendin, Joseph E. Faust, Andrea Martinuzzi and Genny Orso and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

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

Fields of papers citing papers by Song Liu

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 Song Liu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Liu may publish in the future.

Countries citing papers authored by Song Liu

Since Specialization
Citations

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

Rankless by CCL
2025