Ka Yan

About

Ka Yan is a scholar working on Ecology, Molecular Biology and Genetics. According to data from OpenAlex, Ka Yan has authored 48 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 24 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Ka Yan’s work include Crustacean biology and ecology (16 papers), Genomics and Phylogenetic Studies (16 papers) and Genetic diversity and population structure (12 papers). Ka Yan is often cited by papers focused on Crustacean biology and ecology (16 papers), Genomics and Phylogenetic Studies (16 papers) and Genetic diversity and population structure (12 papers). Ka Yan collaborates with scholars based in Hong Kong, China and Taiwan. Ka Yan's co-authors include Ka Hou Chu, Tin‐Yam Chan, Ling Ming Tsang, Huaihai Chen and Jing Qin and has published in prestigious journals such as Scientific Reports, Evolution and Molecular Ecology.

In The Last Decade

Fields of papers citing papers by Ka Yan

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

Countries citing papers authored by Ka Yan

Since Specialization

Citations

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

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