Haiyun Ling
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Pathology and Forensic Medicine top 10%
- Cellular and Molecular Neuroscience
- Physiology
- Co-authors
- Joan Heller BrownDonald M. BersKirk L. PetersonYusu GuNancy D. DaltonMichael GrimmLaëtitia PereiraJu Chen
- Topics
- Cardiac electrophysiology and arrhythmias (11 papers)Ion channel regulation and function (9 papers)Cardiac Ischemia and Reperfusion (6 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Haiyun Ling
18 papers receiving 974 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 742
- Cardiology and Cardiovascular Medicine 585
- Pathology and Forensic Medicine 140
- Cellular and Molecular Neuroscience 123
- Physiology 80
Countries citing papers authored by Haiyun Ling
This map shows the geographic impact of Haiyun Ling'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 Haiyun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyun Ling more than expected).
Fields of papers citing papers by Haiyun Ling
This network shows the impact of papers produced by Haiyun Ling. 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 Haiyun Ling. The network helps show where Haiyun Ling may publish in the future.
Co-authorship network of co-authors of Haiyun Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyun Ling. A scholar is included among the top collaborators of Haiyun Ling 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 Haiyun Ling. Haiyun Ling 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 | 5 | |
| 3 | 63 | |
| 4 | 49 | |
| 5 | 65 | |
| 6 | 19 | |
| 7 | Abstract 15308: Reduction of LV Diastolic Wall Tension by Ranolazine Led to Improved Diastolic Coronary Blood Flow During Demand-Induced Acute Myocardial Ischemia in Anesthetized Canine | 1 |
| 8 | 142 | |
| 9 | 1 | |
| 10 | Requirement for Ca 2+/calmodulin-dependent kinase II in the transition from pressure overload-induced cardiac hypertrophy to heart failure in mice (Journal of Clinical Investigation (2009) 119, 5, (1230-1240) doi: 10.1172/JCI38022) | 1 |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 80 | |
| 14 | 48 | |
| 15 | 293 | |
| 16 | 1 | |
| 17 | 166 | |
| 18 | 32 |
About Haiyun Ling
Haiyun Ling is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Molecular Biology, having authored 18 papers that have together received 987 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (9 papers) and Cardiac Ischemia and Reperfusion (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (585 citations), Molecular Biology (742 citations) and Pathology and Forensic Medicine (140 citations). Haiyun Ling has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Joan Heller Brown, Donald M. Bers, Kirk L. Peterson, Yusu Gu, Nancy D. Dalton, Michael Grimm, Laëtitia Pereira, Ju Chen, Hongqiang Cheng and Tong Zhang. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.