Pu Wang

121 papers and 3.7k indexed citations i.

About

Pu Wang is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Pu Wang has authored 121 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 17 papers in Plant Science and 10 papers in Oncology. Recurrent topics in Pu Wang’s work include Machine Learning in Bioinformatics (13 papers), Plant Molecular Biology Research (11 papers) and Plant Gene Expression Analysis (9 papers). Pu Wang is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), Plant Molecular Biology Research (11 papers) and Plant Gene Expression Analysis (9 papers). Pu Wang collaborates with scholars based in China, United States and Japan. Pu Wang's co-authors include Xuan Xiao, Yue Xiong, Lijia Li, Haoli Hou and Kuo‐Chen Chou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Fields of papers citing papers by Pu Wang

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

Countries citing papers authored by Pu Wang

Since Specialization

Citations

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

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