Song Tan
About
Song Tan is a scholar working on Molecular Biology, Astronomy and Astrophysics and Physiology.
According to data from OpenAlex, Song Tan has authored 109 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 12 papers in Astronomy and Astrophysics and 8 papers in Physiology. Recurrent topics in Song Tan’s work include Genomics and Chromatin Dynamics (51 papers), Epigenetics and DNA Methylation (17 papers) and RNA and protein synthesis mechanisms (15 papers). Song Tan is often cited by papers focused on Genomics and Chromatin Dynamics (51 papers), Epigenetics and DNA Methylation (17 papers) and RNA and protein synthesis mechanisms (15 papers). Song Tan collaborates with scholars based in United States, China and Canada. Song Tan's co-authors include Timothy J. Richmond, William Selleck, Jacques Côté, Zehao Tang and Yuandeng Shen and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Fields of papers citing papers by Song Tan
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 Song Tan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Tan may publish in the future.
Countries citing papers authored by Song Tan
Since SpecializationCitations
This map shows the geographic impact of Song 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 Song Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Tan more than expected).
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