Jun Da

About

Jun Da is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Jun Da has authored 27 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Jun Da’s work include Prostate Cancer Treatment and Research (8 papers), Estrogen and related hormone effects (8 papers) and Cancer Cells and Metastasis (4 papers). Jun Da is often cited by papers focused on Prostate Cancer Treatment and Research (8 papers), Estrogen and related hormone effects (8 papers) and Cancer Cells and Metastasis (4 papers). Jun Da collaborates with scholars based in China, United States and Taiwan. Jun Da's co-authors include Shuyuan Yeh, Zhong Wang, Mingxi Xu, Spencer Slavin and Chiuan‐Ren Yeh and has published in prestigious journals such as ACS Nano, Chemical Communications and The Journal of Urology.

In The Last Decade

Fields of papers citing papers by Jun Da

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

Countries citing papers authored by Jun Da

Since Specialization

Citations

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

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