Gang Sa
About
Gang Sa is a scholar working on Plant Science, Molecular Biology and Endocrinology.
According to data from OpenAlex, Gang Sa has authored 16 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Endocrinology. Recurrent topics in Gang Sa’s work include Plant Stress Responses and Tolerance (9 papers), Plant nutrient uptake and metabolism (7 papers) and Plant Molecular Biology Research (6 papers). Gang Sa is often cited by papers focused on Plant Stress Responses and Tolerance (9 papers), Plant nutrient uptake and metabolism (7 papers) and Plant Molecular Biology Research (6 papers). Gang Sa collaborates with scholars based in China, Germany and United States. Gang Sa's co-authors include Shaoliang Chen, Rui Zhao, Shurong Deng, Jian Sun and Jun Yao and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Hazardous Materials and New Phytologist.
In The Last Decade
Fields of papers citing papers by Gang Sa
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 Gang Sa. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Sa may publish in the future.
Countries citing papers authored by Gang Sa
Since SpecializationCitations
This map shows the geographic impact of Gang Sa'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 Gang Sa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Sa more than expected).
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