Gang Lan

About

Gang Lan is a scholar working on Cancer Research, Surgery and Molecular Biology. According to data from OpenAlex, Gang Lan has authored 15 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Gang Lan’s work include Lung Cancer Diagnosis and Treatment (4 papers), Cholesterol and Lipid Metabolism (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Gang Lan is often cited by papers focused on Lung Cancer Diagnosis and Treatment (4 papers), Cholesterol and Lipid Metabolism (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Gang Lan collaborates with scholars based in China and Canada. Gang Lan's co-authors include Chao‐Ke Tang, Xi‐Long Zheng, Duo Gong and Haipeng Cheng and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

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

Countries citing papers authored by Gang Lan

Since Specialization

Citations

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

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