Ying‐Hsi Lin
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Epidemiology
- Cancer Research
- Co-authors
- Derek J. HausenloyChrishan J. A. RamachandraSauri Hernández‐ReséndizGustavo E Crespo-AvilanTimothy A. McKinseyJieli LiBrenda RussellYi‐Hsuan Lee
- Topics
- Cardiomyopathy and Myosin Studies (8 papers)Cellular Mechanics and Interactions (4 papers)Signaling Pathways in Disease (3 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Ying‐Hsi Lin
18 papers receiving 681 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 412
- Cardiology and Cardiovascular Medicine 250
- Pathology and Forensic Medicine 115
- Epidemiology 69
- Cancer Research 69
Countries citing papers authored by Ying‐Hsi Lin
This map shows the geographic impact of Ying‐Hsi Lin'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 Ying‐Hsi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Hsi Lin more than expected).
Fields of papers citing papers by Ying‐Hsi Lin
This network shows the impact of papers produced by Ying‐Hsi Lin. 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 Ying‐Hsi Lin. The network helps show where Ying‐Hsi Lin may publish in the future.
Co-authorship network of co-authors of Ying‐Hsi Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Hsi Lin. A scholar is included among the top collaborators of Ying‐Hsi Lin 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 Ying‐Hsi Lin. Ying‐Hsi Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 35 | |
| 3 | 87 | |
| 4 | 35 | |
| 5 | 10 | |
| 6 | Mitochondria in acute myocardial infarction and cardioprotectionbreakdown → | 229 |
| 7 | New insights provided by myofibril mechanics in inherited cardiomyopathies. | 7 |
| 8 | 3 | |
| 9 | 56 | |
| 10 | 64 | |
| 11 | INDUCED PLURIPOTENT STEM CELLS FOR MODELLING ENERGETIC ALTERATIONS IN HYPERTROPHIC CARDIOMYOPATHY. | 6 |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 23 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 25 | |
| 18 | 68 |
About Ying‐Hsi Lin
Ying‐Hsi Lin is a scholar working on Developmental Neuroscience, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 18 papers that have together received 688 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (8 papers), Cellular Mechanics and Interactions (4 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (250 citations), Pathology and Forensic Medicine (115 citations) and Molecular Biology (412 citations). Ying‐Hsi Lin has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Derek J. Hausenloy, Chrishan J. A. Ramachandra, Sauri Hernández‐Reséndiz, Gustavo E Crespo-Avilan, Timothy A. McKinsey, Jieli Li, Brenda Russell, Yi‐Hsuan Lee, Shu‐Hui Juan and Sung‐Po Hsu. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Circulation Research.
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.