Gang Song

About

Gang Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gang Song has authored 66 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 17 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Gang Song’s work include Cell death mechanisms and regulation (11 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (8 papers). Gang Song is often cited by papers focused on Cell death mechanisms and regulation (11 papers), Ubiquitin and proteasome pathways (8 papers) and Cancer-related Molecular Pathways (8 papers). Gang Song collaborates with scholars based in China, United States and Sweden. Gang Song's co-authors include Tianhui Hu, J. Yuan, Bing Zhang, Gongye Zhang and Gaoliang Ouyang and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fields of papers citing papers by Gang 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 Gang Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Song may publish in the future.

Countries citing papers authored by Gang Song

Since Specialization

Citations

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

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