Dan Hu
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
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- Neuroscience and Neuropharmacology Research
Papers in
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- Cardiac electrophysiology and arrhythmias 78
- Cardiac Arrhythmias and Treatments 19
- ECG Monitoring and Analysis 13
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- Ion channel regulation and function 52
- Receptor Mechanisms and Signaling 13
- Co-authors
- Héctor Barajas-Martínez (75 shared papers)Charles Antzelevitch (58 shared papers)Ann M. Graybiel (10 shared papers)Yasuo Kubota (8 shared papers)Terra D. Barnes (2 shared papers)Dezhe Z. Jin (1 shared paper)Jonathan M. Cordeiro (12 shared papers)Yanwei Xing (11 shared papers)
- Journals
- Heart Rhythm (14 papers)Frontiers in Physiology (9 papers)PLoS ONE (6 papers)Circulation (6 papers)Pacing and Clinical Electrophysiology (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Hu
203 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 174
- Cardiology and Cardiovascular Medicine 2.2k
- Cellular and Molecular Neuroscience 995
- Cognitive Neuroscience 809
- Behavioral Neuroscience 110
- Molecular Biology 2.1k
Countries citing papers authored by Dan Hu
This map shows the geographic impact of Dan 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 Dan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Hu more than expected).
Fields of papers citing papers by Dan Hu
This network shows the impact of papers produced by Dan 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 Dan Hu. The network helps show where Dan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 213 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 440 | |
| 2 | 2017 | 323 | |
| 3 | 2004 | 228 | |
| 4 | 2009 | 190 | |
| 5 | 2011 | 140 | |
| 6 | 2012 | 127 | |
| 7 | 2011 | 118 | |
| 8 | 2017 | 106 | |
| 9 | 2014 | 90 | |
| 10 | 2011 | 84 | |
| 11 | 2006 | 83 | |
| 12 | 2013 | 70 | |
| 13 | 1995 | 70 | |
| 14 | 2012 | 67 | |
| 15 | 2016 | 61 | |
| 16 | 2011 | 55 | |
| 17 | 2009 | 54 | |
| 18 | 2021 | 50 | |
| 19 | 2007 | 50 | |
| 20 | 2016 | 50 |
About Dan Hu
Dan Hu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis and Cognitive Neuroscience, having authored 213 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (78 papers), Ion channel regulation and function (52 papers), Cardiac Arrhythmias and Treatments (19 papers), Receptor Mechanisms and Signaling (13 papers), ECG Monitoring and Analysis (13 papers), Air Quality and Health Impacts (12 papers), Toxic Organic Pollutants Impact (12 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Cellular and Molecular Neuroscience (995 citations), Cognitive Neuroscience (809 citations), Behavioral Neuroscience (110 citations) and Molecular Biology (2.1k citations). Dan Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Héctor Barajas-Martínez, Charles Antzelevitch, Ann M. Graybiel, Yasuo Kubota, Terra D. Barnes, Dezhe Z. Jin, Jonathan M. Cordeiro, Yanwei Xing, Xuejun Wang and Elena Burashnikov. Their work appears in journals such as Heart Rhythm, Frontiers in Physiology, PLoS ONE, Circulation and Pacing and Clinical Electrophysiology.
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.