Tian Lan
About
Tian Lan is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Tian Lan has authored 21 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tian Lan’s work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). Tian Lan is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). Tian Lan collaborates with scholars based in China, Germany and United States. Tian Lan's co-authors include Yufeng Yuan, Lei Chang, Weijie Ma, Long Wu and Xinghuan Wang and has published in prestigious journals such as Cancer Research, Gut and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Tian Lan
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 Tian Lan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tian Lan may publish in the future.
Countries citing papers authored by Tian Lan
Since SpecializationCitations
This map shows the geographic impact of Tian 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 Tian Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian Lan more than expected).
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