Kai Bi

About

Kai Bi is a scholar working on Plant Science, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Kai Bi has authored 23 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 6 papers in Molecular Biology and 5 papers in Complementary and alternative medicine. Recurrent topics in Kai Bi’s work include Plant Disease Resistance and Genetics (11 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant and Fungal Interactions Research (4 papers). Kai Bi is often cited by papers focused on Plant Disease Resistance and Genetics (11 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant and Fungal Interactions Research (4 papers). Kai Bi collaborates with scholars based in China, Israel and United States. Kai Bi's co-authors include Dàohóng Jiāng, Jiǎtāo Xiè, Yànpíng Fù, Ying Zhao and Jiāsēn Chéng and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Kai Bi

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

Countries citing papers authored by Kai Bi

Since Specialization

Citations

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

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