Xiaojin Song

About

Xiaojin Song is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaojin Song has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Xiaojin Song’s work include Circular RNAs in diseases (13 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (8 papers). Xiaojin Song is often cited by papers focused on Circular RNAs in diseases (13 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (8 papers). Xiaojin Song collaborates with scholars based in China and Canada. Xiaojin Song's co-authors include Yiran Liang, Hanwen Zhang, Qifeng Yang, Wenjing Zhao and Bing Chen and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

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

Countries citing papers authored by Xiaojin Song

Since Specialization

Citations

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

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