Jun Lin

About

Jun Lin is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Jun Lin has authored 46 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Jun Lin’s work include PI3K/AKT/mTOR signaling in cancer (9 papers), MicroRNA in disease regulation (6 papers) and CRISPR and Genetic Engineering (4 papers). Jun Lin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), MicroRNA in disease regulation (6 papers) and CRISPR and Genetic Engineering (4 papers). Jun Lin collaborates with scholars based in China, United States and Sweden. Jun Lin's co-authors include Xiaochun Bai, Cuilan Yang, Chunhong Jia, Wenqian Jiang and Anling Liu and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Oncogene.

In The Last Decade

Fields of papers citing papers by Jun Lin

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 Jun Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Lin may publish in the future.

Countries citing papers authored by Jun Lin

Since Specialization

Citations

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

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