Pu Lu
About
Pu Lu is a scholar working on Plant Science, Molecular Biology and Endocrinology.
According to data from OpenAlex, Pu Lu has authored 24 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 7 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Pu Lu’s work include Research in Cotton Cultivation (16 papers), Plant Molecular Biology Research (12 papers) and Plant Stress Responses and Tolerance (10 papers). Pu Lu is often cited by papers focused on Research in Cotton Cultivation (16 papers), Plant Molecular Biology Research (12 papers) and Plant Stress Responses and Tolerance (10 papers). Pu Lu collaborates with scholars based in China, Kenya and Belgium. Pu Lu's co-authors include Kunbo Wang, Xiaoyan Cai, Zhongli Zhou, Fang Liu and Joy Nyangasi Kirungu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Plant Science.
In The Last Decade
Fields of papers citing papers by Pu Lu
Since SpecializationEngineeringComputer 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 Pu Lu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pu Lu may publish in the future.
Countries citing papers authored by Pu Lu
Since SpecializationCitations
This map shows the geographic impact of Pu Lu'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 Pu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Lu more than expected).
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