Acta Biochimica et Biophysica Sinica
About
The 3.1k papers published in Acta Biochimica et Biophysica Sinica in the last decades have received a total of 51.5k indexed citations.
Papers published in Acta Biochimica et Biophysica Sinica usually cover Molecular Biology (2.0k papers), Cancer Research (546 papers) and Immunology (381 papers) specifically the topics of Cancer-related molecular mechanisms research (218 papers), MicroRNA in disease regulation (207 papers) and RNA modifications and cancer (206 papers). The most active scholars publishing in Acta Biochimica et Biophysica Sinica are Jilie Kong, Shaoning Yu, Xiaoling Li, Ting‐Jun Fan, Jin Liang, Lihui Han, Zhengping Xu, Xiaohua Yan, Ye‐Guang Chen and Ziying Liu.
In The Last Decade
Fields of papers published in Acta Biochimica et Biophysica Sinica
Since SpecializationEngineeringComputer 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 published in Acta Biochimica et Biophysica Sinica. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Acta Biochimica et Biophysica Sinica
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Acta Biochimica et Biophysica Sinica. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Acta Biochimica et Biophysica Sinica with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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