Lei Gao
About
Lei Gao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology.
According to data from OpenAlex, Lei Gao has authored 57 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Lei Gao’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), Multiple Myeloma Research and Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Lei Gao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Multiple Myeloma Research and Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Lei Gao collaborates with scholars based in China, United States and Hong Kong. Lei Gao's co-authors include Christopher Lai, William Bensinger, Kenneth C. Anderson, Joseph Mıkhael and Parco M. Siu and has published in prestigious journals such as Advanced Materials, Blood and Journal of Applied Physics.
In The Last Decade
Fields of papers citing papers by Lei Gao
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 Lei Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lei Gao may publish in the future.
Countries citing papers authored by Lei Gao
Since SpecializationCitations
This map shows the geographic impact of Lei Gao'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 Lei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Gao more than expected).
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