Mao Shu
About
Mao Shu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology.
According to data from OpenAlex, Mao Shu has authored 27 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 6 papers in Oncology. Recurrent topics in Mao Shu’s work include Computational Drug Discovery Methods (16 papers), Machine Learning in Bioinformatics (4 papers) and Chemical Synthesis and Analysis (4 papers). Mao Shu is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Machine Learning in Bioinformatics (4 papers) and Chemical Synthesis and Analysis (4 papers). Mao Shu collaborates with scholars based in China, United States and Russia. Mao Shu's co-authors include Weigong Ge, Hui Wen Ng, Huixiao Hong, Weida Tong and Heng Luo and has published in prestigious journals such as Chemistry - A European Journal, Molecules and BMC Bioinformatics.
In The Last Decade
Fields of papers citing papers by Mao Shu
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 Mao Shu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mao Shu may publish in the future.
Countries citing papers authored by Mao Shu
Since SpecializationCitations
This map shows the geographic impact of Mao Shu'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 Mao Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao Shu more than expected).
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