Yun Tang
About
Yun Tang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology.
According to data from OpenAlex, Yun Tang has authored 324 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Computational Theory and Mathematics, 153 papers in Molecular Biology and 52 papers in Pharmacology. Recurrent topics in Yun Tang’s work include Computational Drug Discovery Methods (163 papers), Pharmacogenetics and Drug Metabolism (43 papers) and Analytical Chemistry and Chromatography (31 papers). Yun Tang is often cited by papers focused on Computational Drug Discovery Methods (163 papers), Pharmacogenetics and Drug Metabolism (43 papers) and Analytical Chemistry and Chromatography (31 papers). Yun Tang collaborates with scholars based in China, United States and Sweden. Yun Tang's co-authors include Weihua Li, Guixia Liu, Feixiong Cheng, Zengrui Wu and Hongbin Yang and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and Bioinformatics.
In The Last Decade
Fields of papers citing papers by Yun Tang
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 Yun Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yun Tang may publish in the future.
Countries citing papers authored by Yun Tang
Since SpecializationCitations
This map shows the geographic impact of Yun Tang'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 Yun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Tang more than expected).
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