Gang Lu
About
Gang Lu is a scholar working on Molecular Biology, Neurology and Small Animals.
According to data from OpenAlex, Gang Lu has authored 7 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Neurology and 1 paper in Small Animals. Recurrent topics in Gang Lu’s work include RNA regulation and disease (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Gang Lu is often cited by papers focused on RNA regulation and disease (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Gang Lu collaborates with scholars based in China and United States. Gang Lu's co-authors include Tom Ryder and Paul Kaplan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Planta.
In The Last Decade
Fields of papers citing papers by Gang Lu
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 Gang Lu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Lu may publish in the future.
Countries citing papers authored by Gang Lu
Since SpecializationCitations
This map shows the geographic impact of Gang Lu'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 Gang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Lu more than expected).
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