Li Ren
About
Li Ren is a scholar working on Plant Science, Infectious Diseases and Molecular Biology.
According to data from OpenAlex, Li Ren has authored 25 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 6 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Li Ren’s work include Plant-Microbe Interactions and Immunity (6 papers), Plant Disease Resistance and Genetics (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Li Ren is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Plant Disease Resistance and Genetics (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Li Ren collaborates with scholars based in China, United States and Canada. Li Ren's co-authors include Xiaoping Fang, Yiming Shao and Wang Chen and has published in prestigious journals such as PLoS ONE, Journal of Virology and Frontiers in Immunology.
In The Last Decade
Fields of papers citing papers by Li Ren
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 Li Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Ren may publish in the future.
Countries citing papers authored by Li Ren
Since SpecializationCitations
This map shows the geographic impact of Li Ren'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 Li Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ren more than expected).
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