Kai Hu

5.4k citations
130 papers · 4.1k indexed · h-index 37

Impact in

    • Cardiovascular Function and Risk Factors
    • Cardiac Fibrosis and Remodeling
    • Cardiomyopathy and Myosin Studies
  • Physiology top 2%
    • Lysosomal Storage Disorders Research
    • Nitric Oxide and Endothelin Effects

Papers in

Kai Hu

126 papers receiving 4.0k citations

Peers

Kai Hu
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 2.1k
  • Physiology 957
  • Radiology, Nuclear Medicine and Imaging 791
  • Reproductive Medicine 171
  • Cell Biology 288
Replace T A Brock with:
T A Brock United States
Anindita Das United States
Tsunehiko Kuzuya Japan
Travis W. Hein United States
Katsuo Kanmatsuse Japan
Ryuichi Hattori Japan
Raymond R. Russell United States
Timothy E. Peterson United States
Yoshinori Katsumata Japan
Eiki Takimoto United States
Kai Hu relative to T A Brock United States T A Brock's profile →
Citations per field
00.5×10×17.4×
T A Brock · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Kai Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Hu Line = papers co-authored together Kai Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 202116
4 20191
5 20188
6 201812
7 201719
8 201642
9 201233
10 201115
11 2011154
12 201052
13 2006122
14 20044
15 20047
16 200242
17 200167
18 200125
19 2001118
20 199641

About Kai Hu

Kai Hu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Physiology, Reproductive Medicine and Biophysics, having authored 130 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (46 papers), Cardiac Imaging and Diagnostics (24 papers), Cardiac Valve Diseases and Treatments (15 papers), Advanced MRI Techniques and Applications (15 papers), Lysosomal Storage Disorders Research (14 papers), Heart Failure Treatment and Management (12 papers), Cardiomyopathy and Myosin Studies (12 papers) and Cardiac Fibrosis and Remodeling (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Physiology (957 citations), Radiology, Nuclear Medicine and Imaging (791 citations), Reproductive Medicine (171 citations) and Cell Biology (288 citations). Kai Hu has collaborated with scholars based in Germany, China and Spain. Frequent co-authors include Georg Ertl, Johann Bauersachs, Frank Weidemann, Peter Gaudron, Daniela Fraccarollo, Stefan Frantz, Markus Niemann, Peter Nordbeck, Sebastian Herrmann and Wolfgang R. Bauer. Their work appears in journals such as Circulation, ESC Heart Failure, Basic Research in Cardiology, European Heart Journal and American Journal of Physiology-Heart and Circulatory Physiology.

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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