Disease Models & Mechanisms
About
The 2.1k papers published in Disease Models & Mechanisms in the last decades have received a total of 67.9k indexed citations.
Papers published in Disease Models & Mechanisms usually cover Molecular Biology (1.1k papers), Genetics (318 papers) and Cell Biology (303 papers) specifically the topics of Muscle Physiology and Disorders (118 papers), Zebrafish Biomedical Research Applications (111 papers) and Mitochondrial Function and Pathology (105 papers). The most active scholars publishing in Disease Models & Mechanisms are Paul L. Huang, Janine T. Erler, Thomas R. Cox, Paolo Bonaldo, Marco Sandri, Jean E. Vance, Tracey A. Rouault, Katharina Timper, Jens C. Brüning and Saverio Cinti.
In The Last Decade
Fields of papers published in Disease Models & Mechanisms
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 published in Disease Models & Mechanisms. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Disease Models & Mechanisms
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Disease Models & Mechanisms. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Disease Models & Mechanisms with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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