Jun Dai

About

Jun Dai is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Jun Dai has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Rheumatology. Recurrent topics in Jun Dai’s work include Osteoarthritis Treatment and Mechanisms (7 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer Genomics and Diagnostics (4 papers). Jun Dai is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Single-cell and spatial transcriptomics (5 papers) and Cancer Genomics and Diagnostics (4 papers). Jun Dai collaborates with scholars based in China, Finland and Hong Kong. Jun Dai's co-authors include Hongwei Ouyang, Shouan Zhu, Yishan Chen, Zongyou Pan and Boon Chin Heng and has published in prestigious journals such as Nature Communications, Bioinformatics and Biomaterials.

In The Last Decade

Fields of papers citing papers by Jun 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 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 Specialization

Citations

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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