Kai Hu

15 papers and 589 indexed citations i.

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 589 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, China and United Kingdom. Kai Hu's co-authors include Georg Ertl, Theo Pelzer, Barbara Bayer, Johann Bauersachs, Ludwig Neyses, Stefan Störk, Markus Niemann, Sebastian Herrmann, Stefan Knop and Frank Weidemann and has published in prestigious journals such as Circulation, PLoS ONE and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Kai Hu i

Fields of papers citing papers by Kai Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Hu. 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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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