Kai Hua

About

Kai Hua is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Kai Hua has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Kai Hua’s work include CRISPR and Genetic Engineering (8 papers), Plant Virus Research Studies (6 papers) and Plant Molecular Biology Research (5 papers). Kai Hua is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Plant Virus Research Studies (6 papers) and Plant Molecular Biology Research (5 papers). Kai Hua collaborates with scholars based in China, United States and Australia. Kai Hua's co-authors include Jian‐Kang Zhu, Xiaoping Tao, Juanjuan Yao and Huazhong Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Fields of papers citing papers by Kai Hua

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

Countries citing papers authored by Kai Hua

Since Specialization

Citations

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

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