Jia Dai

About

Jia Dai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jia Dai has authored 20 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Jia Dai’s work include Cardiac Fibrosis and Remodeling (10 papers), Signaling Pathways in Disease (5 papers) and NF-κB Signaling Pathways (3 papers). Jia Dai is often cited by papers focused on Cardiac Fibrosis and Remodeling (10 papers), Signaling Pathways in Disease (5 papers) and NF-κB Signaling Pathways (3 papers). Jia Dai collaborates with scholars based in China, Japan and Hong Kong. Jia Dai's co-authors include Zhou‐Yan Bian, Heng Zhou, Qizhu Tang, Jing Zong and Wei Deng and has published in prestigious journals such as PLoS ONE, Hypertension and British Journal of Pharmacology.

In The Last Decade

Fields of papers citing papers by Jia Dai

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

Countries citing papers authored by Jia Dai

Since Specialization

Citations

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

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