Lin Tan

About

Lin Tan is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Lin Tan has authored 85 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 12 papers in Plant Science and 11 papers in Cancer Research. Recurrent topics in Lin Tan’s work include Paleontology and Evolutionary Biology (10 papers), Evolution and Paleontology Studies (9 papers) and Ichthyology and Marine Biology (8 papers). Lin Tan is often cited by papers focused on Paleontology and Evolutionary Biology (10 papers), Evolution and Paleontology Studies (9 papers) and Ichthyology and Marine Biology (8 papers). Lin Tan collaborates with scholars based in China, United States and United Kingdom. Lin Tan's co-authors include Philip L. Lorenzi, Yu Ge, Peiying Yang, Qingwei Tan and Rulin Zhan and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Fields of papers citing papers by Lin Tan

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

Countries citing papers authored by Lin Tan

Since Specialization

Citations

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

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