Fu Lu

About

Fu Lu is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Fu Lu has authored 4 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Oncology. Recurrent topics in Fu Lu’s work include Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Fu Lu is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Metabolic Engineering and Synthetic Biology (1 paper). Fu Lu collaborates with scholars based in United States. Fu Lu's co-authors include Myra K. Derbyshire, James S. Song, Aron Marchler‐Bauer, Stephen H. Bryant and Roxanne A. Yamashita and has published in prestigious journals such as Nucleic Acids Research and Cancer Research.

In The Last Decade

Fields of papers citing papers by Fu Lu

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

Countries citing papers authored by Fu Lu

Since Specialization

Citations

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

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