Kai Hu
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
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- CRISPR and Genetic Engineering 3
-
- Cardiovascular Function and Risk Factors 5
- Cardiac electrophysiology and arrhythmias 4
- Co-authors
- Daqian Shi (4 shared papers)Katherine Keenan (3 shared papers)Jo Mhairi Hale (3 shared papers)Tobias Börger (1 shared paper)Juxin Yin (4 shared papers)Ying Mu (4 shared papers)Jianjian Zhuang (3 shared papers)Liping Xia (2 shared papers)
- Journals
- European Heart Journal (4 papers)Blood (4 papers)Environmental Research (3 papers)Basic Research in Cardiology (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Kai Hu
56 papers receiving 790 citations
Peers
Comparison fields: 5 of 124
- Health, Toxicology and Mutagenesis 161
- Geriatrics and Gerontology 15
- Infectious Diseases 71
- Physiology 72
- Marketing 28
Countries citing papers authored by Kai Hu
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
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.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2023 | 70 | |
| 3 | 2010 | 57 | |
| 4 | 2020 | 49 | |
| 5 | 2008 | 44 | |
| 6 | 2015 | 39 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 26 | |
| 10 | 2012 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2023 | 13 |
About Kai Hu
Kai Hu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis, Surgery and Pathology and Forensic Medicine, having authored 62 papers that have together received 805 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (10 papers), Energy, Environment, Economic Growth (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Biosensors and Analytical Detection (3 papers), CAR-T cell therapy research (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (161 citations), Geriatrics and Gerontology (15 citations), Infectious Diseases (71 citations), Physiology (72 citations) and Marketing (28 citations). Kai Hu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Daqian Shi, Katherine Keenan, Jo Mhairi Hale, Tobias Börger, Juxin Yin, Ying Mu, Jianjian Zhuang, Liping Xia, Jiale Li and Yuming Guo. Their work appears in journals such as European Heart Journal, Blood, Environmental Research, Basic Research in Cardiology and The Science of The Total Environment.
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.