Haibo Ni
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Epidemiology
- Co-authors
- Henggui ZhangEleonora GrandiRui QinStefano MorottiGang ChenRong GaoDi LiDavid J. Whittaker
- Topics
- Cardiac electrophysiology and arrhythmias (41 papers)Ion channel regulation and function (16 papers)Atrial Fibrillation Management and Outcomes (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Physiology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Haibo Ni
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 473
- Cardiology and Cardiovascular Medicine 454
- Cellular and Molecular Neuroscience 156
- Neurology 151
- Epidemiology 142
Countries citing papers authored by Haibo Ni
This map shows the geographic impact of Haibo Ni'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 Haibo Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibo Ni more than expected).
Fields of papers citing papers by Haibo Ni
This network shows the impact of papers produced by Haibo Ni. 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 Haibo Ni. The network helps show where Haibo Ni may publish in the future.
Co-authorship network of co-authors of Haibo Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Ni. A scholar is included among the top collaborators of Haibo Ni 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 Haibo Ni. Haibo Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 12 | |
| 14 | 31 | |
| 15 | 12 | |
| 16 | 25 | |
| 17 | Novel Drug Delivery Systems for Loading of Natural Plant Extracts and Their Biomedical Applications | 1 |
| 18 | 4 | |
| 19 | Modelling the functional impact of KCNA5 mutations on the electrical and mechanical activities of human atrial cells | 2 |
| 20 | Extracting myofibre orientation from micro-CT images: An optimisation study | 10 |
About Haibo Ni
Haibo Ni is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (41 papers), Ion channel regulation and function (16 papers) and Atrial Fibrillation Management and Outcomes (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (454 citations), Neurology (85 citations) and Neurology (151 citations). Haibo Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Henggui Zhang, Eleonora Grandi, Rui Qin, Stefano Morotti, Gang Chen, Rong Gao, Di Li, David J. Whittaker, Ziye Wang and Yu Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of 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.