Wang Da

About

Wang Da is a scholar working on Plant Science, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Wang Da has authored 27 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Environmental Chemistry. Recurrent topics in Wang Da’s work include Plant Virus Research Studies (4 papers), Arsenic contamination and mitigation (3 papers) and Natural product bioactivities and synthesis (2 papers). Wang Da is often cited by papers focused on Plant Virus Research Studies (4 papers), Arsenic contamination and mitigation (3 papers) and Natural product bioactivities and synthesis (2 papers). Wang Da collaborates with scholars based in China, United States and Bangladesh. Wang Da's co-authors include Miao Liu, Guang‐Hui Dong, Guifan Sun, Huiyuan Gao and Bing Li and has published in prestigious journals such as Chemosphere, Carbohydrate Polymers and Chemistry - A European Journal.

In The Last Decade

Fields of papers citing papers by Wang Da

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

Countries citing papers authored by Wang Da

Since Specialization

Citations

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

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