Jun Jin
About
Jun Jin is a scholar working on Epidemiology, Molecular Biology and Oncology.
According to data from OpenAlex, Jun Jin has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Jun Jin’s work include Silk-based biomaterials and applications (5 papers), Sepsis Diagnosis and Treatment (5 papers) and MRI in cancer diagnosis (4 papers). Jun Jin is often cited by papers focused on Silk-based biomaterials and applications (5 papers), Sepsis Diagnosis and Treatment (5 papers) and MRI in cancer diagnosis (4 papers). Jun Jin collaborates with scholars based in China, United States and Hong Kong. Jun Jin's co-authors include Xinjing Yang, Eliza Lai‐Yi Wong, Guofu Zhang and Wei Yao and has published in prestigious journals such as Hepatology, Biochemical and Biophysical Research Communications and Journal of Materials Chemistry.
In The Last Decade
Fields of papers citing papers by Jun 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 Jun Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Jin may publish in the future.
Countries citing papers authored by Jun Jin
Since SpecializationCitations
This map shows the geographic impact of Jun 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 Jun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jin more than expected).
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