Dan Li
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- David J. PatersonP K JefferyNeil HerringTom DawsonYouyong LiTingjun HouJulia ShanksHui Liu
- Topics
- Heart Rate Variability and Autonomic Control (19 papers)Cardiac electrophysiology and arrhythmias (16 papers)Receptor Mechanisms and Signaling (14 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCellular and Molecular NeuroscienceEndocrine and Autonomic Systems
- Journals
- Advanced MaterialsJournal of Biological ChemistryJournal of the American College of Cardiology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan Li
123 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 132
- Cardiology and Cardiovascular Medicine 914
- Molecular Biology 725
- Physiology 293
- Cellular and Molecular Neuroscience 279
- Pulmonary and Respiratory Medicine 208
Countries citing papers authored by Dan Li
This map shows the geographic impact of Dan Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Li more than expected).
Fields of papers citing papers by Dan Li
This network shows the impact of papers produced by Dan Li. 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 Li. The network helps show where Dan Li may publish in the future.
Co-authorship network of co-authors of Dan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Li. A scholar is included among the top collaborators of Dan Li 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 Li. Dan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 30 | |
| 9 | 22 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 32 | |
| 15 | 3 | |
| 16 | 42 | |
| 17 | 0 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | [$Ca^{2+}-induced$ $Ca^{2+}$ Release from Sarcoplasmic Reticulum Negatively Regulates Myocytic ANP Release in Beating Rabbit Atria | 2 |
About Dan Li
Dan Li is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Neurology, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (19 papers), Cardiac electrophysiology and arrhythmias (16 papers) and Receptor Mechanisms and Signaling (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (914 citations), Cellular and Molecular Neuroscience (279 citations) and Endocrine and Autonomic Systems (100 citations). Dan Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David J. Paterson, P K Jeffery, Neil Herring, Tom Dawson, Youyong Li, Tingjun Hou, Julia Shanks, Hui Liu, Huiyong Sun and Shuangquan Wang. Their work appears in journals such as Advanced Materials, Journal of Biological Chemistry and Journal of the American College of Cardiology.
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.