Li L
About
Li L is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering.
According to data from OpenAlex, Li L has authored 99 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 19 papers in Molecular Biology and 18 papers in Biomedical Engineering. Recurrent topics in Li L’s work include Plant Gene Expression Analysis (9 papers), Nonlinear Partial Differential Equations (8 papers) and Plant Molecular Biology Research (8 papers). Li L is often cited by papers focused on Plant Gene Expression Analysis (9 papers), Nonlinear Partial Differential Equations (8 papers) and Plant Molecular Biology Research (8 papers). Li L collaborates with scholars based in China, United States and Australia. Li L's co-authors include Keith P. Johnston, Konstantin Sokolov, Thomas E. Milner, Marc D. Feldman and Justina Tam and has published in prestigious journals such as ACS Nano, PLoS ONE and Langmuir.
In The Last Decade
Fields of papers citing papers by Li L
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 L. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li L may publish in the future.
Countries citing papers authored by Li L
Since SpecializationCitations
This map shows the geographic impact of Li L'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 L with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li L more than expected).
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