Guoqi Song

About

Guoqi Song is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Guoqi Song has authored 29 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Cancer Research and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Guoqi Song’s work include Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers) and Lymphoma Diagnosis and Treatment (7 papers). Guoqi Song is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers) and Lymphoma Diagnosis and Treatment (7 papers). Guoqi Song collaborates with scholars based in China, Hong Kong and India. Guoqi Song's co-authors include Yuqin Pan, Tianyi Gao, Yeqiong Xu, Ling Gu and Bangshun He and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Gene.

In The Last Decade

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

Countries citing papers authored by Guoqi Song

Since Specialization

Citations

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

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