Lan Lan

About

Lan Lan is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Rheumatology. According to data from OpenAlex, Lan Lan has authored 84 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Oncology and 13 papers in Rheumatology. Recurrent topics in Lan Lan’s work include Systemic Lupus Erythematosus Research (11 papers), COVID-19 diagnosis using AI (8 papers) and Renal Diseases and Glomerulopathies (8 papers). Lan Lan is often cited by papers focused on Systemic Lupus Erythematosus Research (11 papers), COVID-19 diagnosis using AI (8 papers) and Renal Diseases and Glomerulopathies (8 papers). Lan Lan collaborates with scholars based in China, United States and United Kingdom. Lan Lan's co-authors include Haibo Xu, Dan Xu, Jianghua Chen, Jiaoxia Zhang and Fei Han and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Fields of papers citing papers by Lan Lan

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

Countries citing papers authored by Lan Lan

Since Specialization

Citations

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

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