Xiaojia Song

About

Xiaojia Song is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Xiaojia Song has authored 18 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Xiaojia Song’s work include Cancer-related gene regulation (6 papers), RNA modifications and cancer (6 papers) and Galectins and Cancer Biology (3 papers). Xiaojia Song is often cited by papers focused on Cancer-related gene regulation (6 papers), RNA modifications and cancer (6 papers) and Galectins and Cancer Biology (3 papers). Xiaojia Song collaborates with scholars based in China, Sweden and Japan. Xiaojia Song's co-authors include Chunhong Ma, Xiaohong Liang, Lifen Gao, Zhuanchang Wu and Zehua Wang and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Cancer Research.

In The Last Decade

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

Countries citing papers authored by Xiaojia Song

Since Specialization

Citations

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

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