Kaikai Mao

About

Kaikai Mao is a scholar working on Insect Science, Molecular Biology and Plant Science. According to data from OpenAlex, Kaikai Mao has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Insect Science, 21 papers in Molecular Biology and 12 papers in Plant Science. Recurrent topics in Kaikai Mao’s work include Insect-Plant Interactions and Control (24 papers), Insect Resistance and Genetics (21 papers) and Insect and Pesticide Research (15 papers). Kaikai Mao is often cited by papers focused on Insect-Plant Interactions and Control (24 papers), Insect Resistance and Genetics (21 papers) and Insect and Pesticide Research (15 papers). Kaikai Mao collaborates with scholars based in China, United Kingdom and South Korea. Kaikai Mao's co-authors include Jianhong Li, Hu Wan, Xun Liao, Ruoheng Jin and Shun He and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Cell Reports.

In The Last Decade

Fields of papers citing papers by Kaikai Mao

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

Countries citing papers authored by Kaikai Mao

Since Specialization

Citations

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

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