Maina Kava

About

Maina Kava is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, Maina Kava has authored 19 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Clinical Biochemistry and 5 papers in Genetics. Recurrent topics in Maina Kava’s work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (6 papers) and Genomics and Rare Diseases (4 papers). Maina Kava is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (6 papers) and Genomics and Rare Diseases (4 papers). Maina Kava collaborates with scholars based in Australia, Canada and United States. Maina Kava's co-authors include Shanti Balasubramaniam, David R. Thorburn, John Christodoulou, Ravisha Srinivasjois and Mark J. Cowley and has published in prestigious journals such as European Journal of Clinical Nutrition, Human Mutation and Genetics in Medicine.

In The Last Decade

Fields of papers citing papers by Maina Kava

Since Specialization

EngineeringComputer 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 Maina Kava. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maina Kava may publish in the future.

Countries citing papers authored by Maina Kava

Since Specialization

Citations

This map shows the geographic impact of Maina Kava'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 Maina Kava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maina Kava more than expected).

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