Fam Ag
About
Fam Ag is a scholar working on Rheumatology, Surgery and Pathology and Forensic Medicine.
According to data from OpenAlex, Fam Ag has authored 17 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 6 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Fam Ag’s work include Rheumatoid Arthritis Research and Therapies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Orthopedic Infections and Treatments (2 papers). Fam Ag is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Orthopedic Infections and Treatments (2 papers). Fam Ag collaborates with scholars based in Canada. Fam Ag's co-authors include J Tenenbaum, Nicholas Bellamy, Pritzker Kp, Buchanan Ww and Bayardo Perez‐Ordoñez and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Fam Ag
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 Fam Ag. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fam Ag may publish in the future.
Countries citing papers authored by Fam Ag
Since SpecializationCitations
This map shows the geographic impact of Fam Ag'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 Fam Ag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fam Ag more than expected).
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