Song Jin
About
Song Jin is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Song Jin has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Song Jin’s work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers) and Cell death mechanisms and regulation (5 papers). Song Jin is often cited by papers focused on MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers) and Cell death mechanisms and regulation (5 papers). Song Jin collaborates with scholars based in China, United States and India. Song Jin's co-authors include Li‐Fei Zheng, Jin‐Xia Zhu, Xiao‐Yan Feng and Sha Ma and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.
In The Last Decade
Fields of papers citing papers by Song Jin
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 citing the papers produced by Song Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Jin may publish in the future.
Countries citing papers authored by Song Jin
Since SpecializationCitations
This map shows the geographic impact of Song Jin'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 Song Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Jin more than expected).
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