Dan Hu
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Health, Toxicology and Mutagenesis top 2%
- Co-authors
- Héctor Barajas-MartínezCharles AntzelevitchAnn M. GraybielYasuo KubotaTerra D. BarnesDezhe Z. JinJonathan M. CordeiroYanwei Xing
- Topics
- Cardiac electrophysiology and arrhythmias (78 papers)Ion channel regulation and function (52 papers)Cardiac Arrhythmias and Treatments (19 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCellular and Molecular NeuroscienceCognitive Neuroscience
- 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
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 995
- Cognitive Neuroscience 809
- Health, Toxicology and Mutagenesis 372
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-authorship network of co-authors of Dan Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Hu. A scholar is included among the top collaborators of Dan Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Hu. Dan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 44 | |
| 10 | [Effects of high-efficiency particulate air purifiers on indoor fine particulate matter and its constituents in a district of Beijing during winter]. | 4 |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | Abstract 15739: Effects of Ranolazine on Long QT3 Syndrome are Mutation Dependent | 1 |
| 16 | 140 | |
| 17 | Expansion of Interfaces Module Based on Modbus | 2 |
| 18 | 12 | |
| 19 | Synthesis of Lanthanide Cryptates by Transmetalation Reaction | 1 |
| 20 | New model of IDSS based on theory of complex adaptive system | 1 |
About Dan Hu
Dan Hu is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Molecular Biology, 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) and Cardiac Arrhythmias and Treatments (19 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Cellular and Molecular Neuroscience (995 citations) and Cognitive Neuroscience (809 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 Nature, Cell and Proceedings of the National Academy of Sciences.
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.