Lin Tang

130 papers and 2.1k indexed citations i.

About

Lin Tang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Lin Tang has authored 130 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 37 papers in Cancer Research and 23 papers in Immunology. Recurrent topics in Lin Tang’s work include RNA modifications and cancer (23 papers), Cancer-related molecular mechanisms research (19 papers) and MicroRNA in disease regulation (13 papers). Lin Tang is often cited by papers focused on RNA modifications and cancer (23 papers), Cancer-related molecular mechanisms research (19 papers) and MicroRNA in disease regulation (13 papers). Lin Tang collaborates with scholars based in China, United States and Hong Kong. Lin Tang's co-authors include Xiaoxiang Guan, Lincan Duan, Yixiao Yuan, Xiulin Jiang and Rong Gou and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Oncogene.

In The Last Decade

Fields of papers citing papers by Lin Tang

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

Countries citing papers authored by Lin Tang

Since Specialization

Citations

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

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