Dan Song

About

Dan Song is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Dan Song has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 26 papers in Molecular Biology and 9 papers in Materials Chemistry. Recurrent topics in Dan Song’s work include Biosensors and Analytical Detection (27 papers), Advanced biosensing and bioanalysis techniques (25 papers) and SARS-CoV-2 detection and testing (6 papers). Dan Song is often cited by papers focused on Biosensors and Analytical Detection (27 papers), Advanced biosensing and bioanalysis techniques (25 papers) and SARS-CoV-2 detection and testing (6 papers). Dan Song collaborates with scholars based in China and United States. Dan Song's co-authors include Feng Long, Anna Zhu, Rong Yang, Shunyan Fang and Hongliang Wang and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Power Sources and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Dan 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 Dan Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dan Song may publish in the future.

Countries citing papers authored by Dan Song

Since Specialization

Citations

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

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