Di Mu
About
Di Mu is a scholar working on Molecular Biology, Physiology and Dermatology.
According to data from OpenAlex, Di Mu has authored 26 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Dermatology. Recurrent topics in Di Mu’s work include Dermatology and Skin Diseases (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Stress Responses and Cortisol (4 papers). Di Mu is often cited by papers focused on Dermatology and Skin Diseases (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Stress Responses and Cortisol (4 papers). Di Mu collaborates with scholars based in China, United States and United Kingdom. Di Mu's co-authors include Mingzhe Liu, Min Xia, Yan-Gang Sun, Qiulan Chen and Di Li and has published in prestigious journals such as Science, Neuron and Environmental Science & Technology.
In The Last Decade
Fields of papers citing papers by Di Mu
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 Di Mu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Di Mu may publish in the future.
Countries citing papers authored by Di Mu
Since SpecializationCitations
This map shows the geographic impact of Di Mu'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 Di Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Mu more than expected).
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