Jun Dai
About
Jun Dai is a scholar working on Surgery, Molecular Biology and Cancer Research.
According to data from OpenAlex, Jun Dai has authored 134 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Surgery, 34 papers in Molecular Biology and 22 papers in Cancer Research. Recurrent topics in Jun Dai’s work include Adrenal and Paraganglionic Tumors (19 papers), Hormonal Regulation and Hypertension (12 papers) and Spine and Intervertebral Disc Pathology (11 papers). Jun Dai is often cited by papers focused on Adrenal and Paraganglionic Tumors (19 papers), Hormonal Regulation and Hypertension (12 papers) and Spine and Intervertebral Disc Pathology (11 papers). Jun Dai collaborates with scholars based in China, United States and Japan. Jun Dai's co-authors include Diganta Das, Zhi‐Zheng Ge, Michael Pecht, Han Chen, Fukang Sun, Zhi Zheng Ge, Qiurong Ruan, Hongchao He, Yun–Jie Gao and Wei He and has published in prestigious journals such as Advanced Materials, Gut and Scientific Reports.
In The Last Decade
Co-authorship network of co-authors of Jun Dai i
Fields of papers citing papers by Jun Dai
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 Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Dai may publish in the future.
Countries citing papers authored by Jun Dai
Since SpecializationCitations
This map shows the geographic impact of Jun Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
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