Long Huang
About
Long Huang is a scholar working on Molecular Biology, Cancer Research and Oncology.
According to data from OpenAlex, Long Huang has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 27 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Long Huang’s work include Cancer-related molecular mechanisms research (19 papers), RNA modifications and cancer (11 papers) and Circular RNAs in diseases (11 papers). Long Huang is often cited by papers focused on Cancer-related molecular mechanisms research (19 papers), RNA modifications and cancer (11 papers) and Circular RNAs in diseases (11 papers). Long Huang collaborates with scholars based in China, United States and Finland. Long Huang's co-authors include Hui‐Yun Wang, Shi Chen, Yifeng Tian, Yun Zhou and Min Zheng and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer.
In The Last Decade
Fields of papers citing papers by Long Huang
Since SpecializationEngineeringComputer 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 Long Huang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long Huang may publish in the future.
Countries citing papers authored by Long Huang
Since SpecializationCitations
This map shows the geographic impact of Long 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 Long Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Huang more than expected).
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