Mei Song

About

Mei Song is a scholar working on General Health Professions, Epidemiology and Infectious Diseases. According to data from OpenAlex, Mei Song has authored 37 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Mei Song’s work include Prevention and Treatment of HIV/AIDS Infection (6 papers), Biomedical Text Mining and Ontologies (4 papers) and HIV, Drug Use, Sexual Risk (4 papers). Mei Song is often cited by papers focused on Prevention and Treatment of HIV/AIDS Infection (6 papers), Biomedical Text Mining and Ontologies (4 papers) and HIV, Drug Use, Sexual Risk (4 papers). Mei Song collaborates with scholars based in United States, China and Zimbabwe. Mei Song's co-authors include Heiko Spallek, Titus Schleyer, Tanja Bekhuis, Deborah E. Polk, Krishna Aravamudhan, Julie Frantsve‐Hawley, Andrew F. Hayes, Prabu David, Gregg H. Gilbert and D. Brad Rindal and has published in prestigious journals such as PLoS ONE, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Mei Song i

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

Countries citing papers authored by Mei Song

Since Specialization

Citations

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

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