Kai Hu

About

Kai Hu is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kai Hu has authored 15 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kai Hu’s work include Estrogen and related hormone effects (6 papers), Hormonal Regulation and Hypertension (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Kai Hu is often cited by papers focused on Estrogen and related hormone effects (6 papers), Hormonal Regulation and Hypertension (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Kai Hu collaborates with scholars based in Germany, United Kingdom and China. Kai Hu's co-authors include Georg Ertl, Theo Pelzer, Paula Arias-Loza, Johann Bauersachs and Barbara Bayer and has published in prestigious journals such as Circulation, PLoS ONE and The FASEB Journal.

In The Last Decade

Fields of papers citing papers by Kai Hu

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

Countries citing papers authored by Kai Hu

Since Specialization

Citations

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

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