Uma Kanga
About
Uma Kanga is a scholar working on Immunology, Genetics and Hematology.
According to data from OpenAlex, Uma Kanga has authored 61 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 13 papers in Genetics and 8 papers in Hematology. Recurrent topics in Uma Kanga’s work include T-cell and B-cell Immunology (39 papers), Immune Cell Function and Interaction (34 papers) and Immunotherapy and Immune Responses (22 papers). Uma Kanga is often cited by papers focused on T-cell and B-cell Immunology (39 papers), Immune Cell Function and Interaction (34 papers) and Immunotherapy and Immune Responses (22 papers). Uma Kanga collaborates with scholars based in India, Japan and Australia. Uma Kanga's co-authors include Narinder K. Mehra, Gurvinder Kaur, Neeraj Kumar, Nikhil Tandon and Akanksha Sharma and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Virology and Annals of the New York Academy of Sciences.
In The Last Decade
Fields of papers citing papers by Uma Kanga
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 Uma Kanga. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Uma Kanga may publish in the future.
Countries citing papers authored by Uma Kanga
Since SpecializationCitations
This map shows the geographic impact of Uma Kanga'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 Uma Kanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Kanga more than expected).
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