Tina Huang

About

Tina Huang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tina Huang has authored 7 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Tina Huang’s work include Glioma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers) and Chromatin Remodeling and Cancer (2 papers). Tina Huang is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers) and Chromatin Remodeling and Cancer (2 papers). Tina Huang collaborates with scholars based in United States, Switzerland and Poland. Tina Huang's co-authors include Amanda Saratsis, Jin Qi, Ali Shilatifard, Javad Nazarian and Andrea Piunti and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Tina Huang

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

Countries citing papers authored by Tina Huang

Since Specialization

Citations

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

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