Xiaojun Di
About
Xiaojun Di is a scholar working on Molecular Biology, Genetics and Cancer Research.
According to data from OpenAlex, Xiaojun Di has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Cancer Research. Recurrent topics in Xiaojun Di’s work include Gene expression and cancer classification (7 papers), Genomics and Phylogenetic Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). Xiaojun Di is often cited by papers focused on Gene expression and cancer classification (7 papers), Genomics and Phylogenetic Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). Xiaojun Di collaborates with scholars based in United States and Japan. Xiaojun Di's co-authors include Rui Mei, Guoying Liu, Keith Jones, Shoulian Dong and Giulia C. Kennedy and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Nature Methods.
In The Last Decade
Fields of papers citing papers by Xiaojun Di
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 Xiaojun Di. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaojun Di may publish in the future.
Countries citing papers authored by Xiaojun Di
Since SpecializationCitations
This map shows the geographic impact of Xiaojun Di'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 Xiaojun Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Di more than expected).
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