H. Zhang
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cognitive Neuroscience
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Arun V. HoldenWangmeng ZuoDes McLernonAhmad AyatollahiNader Jafarnia DabanlooOleg AslanidiIgor R. EfimovTheodora Nikolaidou
- Topics
- Cardiac electrophysiology and arrhythmias (17 papers)ECG Monitoring and Analysis (7 papers)Atrial Fibrillation Management and Outcomes (6 papers)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
H. Zhang
24 papers receiving 289 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 214
- Molecular Biology 67
- Cognitive Neuroscience 48
- Biomedical Engineering 29
- Artificial Intelligence 26
Countries citing papers authored by H. Zhang
This map shows the geographic impact of H. Zhang'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 H. Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Zhang more than expected).
Fields of papers citing papers by H. Zhang
This network shows the impact of papers produced by H. Zhang. 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 H. Zhang. The network helps show where H. Zhang may publish in the future.
Co-authorship network of co-authors of H. Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of H. Zhang. A scholar is included among the top collaborators of H. Zhang 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 H. Zhang. H. Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 16 | |
| 4 | 0 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 20 | |
| 8 | Action potential clamp and mefloquine sensitivity of recombinant 'I KS' channels incorporating the V307L KCNQ1 mutation. | 16 |
| 9 | 30 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | Computer reconstruction of the cardiac pacemaker | 1 |
| 15 | Simulated ECG waveforms in long QT syndrome based on a model of human ventricular tissue | 1 |
| 16 | 51 | |
| 17 | 4 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 7 |
About H. Zhang
H. Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Architecture and Energy Engineering and Power Technology, having authored 28 papers that have together received 302 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), ECG Monitoring and Analysis (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (214 citations), Ceramics and Composites (17 citations) and Cognitive Neuroscience (48 citations). H. Zhang has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Arun V. Holden, Wangmeng Zuo, Des McLernon, Ahmad Ayatollahi, Nader Jafarnia Dabanloo, Oleg Aslanidi, Igor R. Efimov, Theodora Nikolaidou, Xiaohui Chen and YingLiang Ma. Their work appears in journals such as The Journal of Physiology, Journal of Theoretical Biology and Journal of Nuclear Materials.
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.