Tianqi Song

About

Tianqi Song is a scholar working on Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Tianqi Song has authored 19 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Biomedical Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Tianqi Song’s work include Advanced biosensing and bioanalysis techniques (12 papers), DNA and Biological Computing (8 papers) and Quantum-Dot Cellular Automata (4 papers). Tianqi Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (12 papers), DNA and Biological Computing (8 papers) and Quantum-Dot Cellular Automata (4 papers). Tianqi Song collaborates with scholars based in United States, China and Egypt. Tianqi Song's co-authors include John H. Reif, Reem Mokhtar, Hieu Bui, Sudhanshu Garg and Shalin Shah and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Nature Nanotechnology.

In The Last Decade

Fields of papers citing papers by Tianqi Song

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

Countries citing papers authored by Tianqi Song

Since Specialization

Citations

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

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