Guangda Wang
About
Guangda Wang is a scholar working on Plant Science, Molecular Biology and Surgery.
According to data from OpenAlex, Guangda Wang has authored 31 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Guangda Wang’s work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Guangda Wang is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Guangda Wang collaborates with scholars based in China, United States and United Kingdom. Guangda Wang's co-authors include Zhaosheng Kong, Juan Tian, Yanjun Yu, Chaofeng Wang and Xiaxia Zhang and has published in prestigious journals such as The EMBO Journal, Current Biology and The Plant Journal.
In The Last Decade
Fields of papers citing papers by Guangda Wang
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 Guangda Wang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guangda Wang may publish in the future.
Countries citing papers authored by Guangda Wang
Since SpecializationCitations
This map shows the geographic impact of Guangda Wang'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 Guangda Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangda Wang more than expected).
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