Good Ca
About
Good Ca is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine.
According to data from OpenAlex, Good Ca has authored 14 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Good Ca’s work include Medical Imaging and Pathology Studies (6 papers), Gastrointestinal disorders and treatments (3 papers) and Tracheal and airway disorders (2 papers). Good Ca is often cited by papers focused on Medical Imaging and Pathology Studies (6 papers), Gastrointestinal disorders and treatments (3 papers) and Tracheal and airway disorders (2 papers). Good Ca collaborates with scholars based in and . Good Ca's co-authors include McDonald, Clagett Ot and Carr Dt and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Good Ca
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 Good Ca. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Good Ca may publish in the future.
Countries citing papers authored by Good Ca
Since SpecializationCitations
This map shows the geographic impact of Good Ca'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 Good Ca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Good Ca more than expected).
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