Carol Tang

About

Carol Tang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Carol Tang has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Genetics and 11 papers in Oncology. Recurrent topics in Carol Tang’s work include Glioma Diagnosis and Treatment (17 papers), Cancer Cells and Metastasis (9 papers) and MicroRNA in disease regulation (4 papers). Carol Tang is often cited by papers focused on Glioma Diagnosis and Treatment (17 papers), Cancer Cells and Metastasis (9 papers) and MicroRNA in disease regulation (4 papers). Carol Tang collaborates with scholars based in Singapore, United States and France. Carol Tang's co-authors include Beng Ti Ang, Edwin Sandanaraj, Yuk Kien Chong, Beng-Ti Ang and Wai Hoe Ng and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Fields of papers citing papers by Carol Tang

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

Countries citing papers authored by Carol Tang

Since Specialization

Citations

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

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