Hu Q

About

Hu Q is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Hu Q has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cancer Research and 11 papers in Epidemiology. Recurrent topics in Hu Q’s work include Cancer-related molecular mechanisms research (7 papers), HIV Research and Treatment (5 papers) and MicroRNA in disease regulation (4 papers). Hu Q is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), HIV Research and Treatment (5 papers) and MicroRNA in disease regulation (4 papers). Hu Q collaborates with scholars based in China, United States and United Kingdom. Hu Q's co-authors include Ziyi Zhao, Elizabeth Fink, Kaizheng Wang, John H. Elder and Julie S. Snowden and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Brain.

In The Last Decade

Fields of papers citing papers by Hu Q

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

Countries citing papers authored by Hu Q

Since Specialization

Citations

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

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