Jun Long

About

Jun Long is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Jun Long has authored 41 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Cancer Research. Recurrent topics in Jun Long’s work include Hedgehog Signaling Pathway Studies (14 papers), Epigenetics and DNA Methylation (8 papers) and Extracellular vesicles in disease (6 papers). Jun Long is often cited by papers focused on Hedgehog Signaling Pathway Studies (14 papers), Epigenetics and DNA Methylation (8 papers) and Extracellular vesicles in disease (6 papers). Jun Long collaborates with scholars based in China, United States and Hong Kong. Jun Long's co-authors include David J. Robbins, Anthony J. Capobianco, Jezabel Rodríguez‐Blanco and Lukui Chen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Fields of papers citing papers by Jun Long

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

Countries citing papers authored by Jun Long

Since Specialization

Citations

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

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