Judy Y. Su
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- W. Glenn L. KerrickWilhelm HasselbachZhong LiRobert A. CaplanElliot J. KraneDavid W. AmoryHiroshi TodaDean A. Malencik
- Topics
- Cardiac electrophysiology and arrhythmias (15 papers)Ion channel regulation and function (8 papers)Cardiac Ischemia and Reperfusion (8 papers)
- Cited by
- Developmental NeuroscienceCardiology and Cardiovascular MedicinePathology and Forensic Medicine
- Partner nations
- United StatesTaiwanNetherlands
In The Last Decade
Judy Y. Su
44 papers receiving 575 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 270
- Cardiology and Cardiovascular Medicine 216
- Pathology and Forensic Medicine 136
- Cellular and Molecular Neuroscience 136
- Physiology 111
Countries citing papers authored by Judy Y. Su
This map shows the geographic impact of Judy Y. Su'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 Judy Y. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judy Y. Su more than expected).
Fields of papers citing papers by Judy Y. Su
This network shows the impact of papers produced by Judy Y. Su. 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 Judy Y. Su. The network helps show where Judy Y. Su may publish in the future.
Co-authorship network of co-authors of Judy Y. Su
This figure shows the co-authorship network connecting the top 25 collaborators of Judy Y. Su. A scholar is included among the top collaborators of Judy Y. Su 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 Judy Y. Su. Judy Y. Su 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 | 2 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 24 | |
| 6 | 31 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | 18 | |
| 20 | 12 |
About Judy Y. Su
Judy Y. Su is a scholar working on Cardiology and Cardiovascular Medicine, Bioengineering and Pathology and Forensic Medicine, having authored 44 papers that have together received 597 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (8 papers) and Cardiac Ischemia and Reperfusion (8 papers). The work is most often cited by research in Developmental Neuroscience (52 citations), Cardiology and Cardiovascular Medicine (216 citations) and Pathology and Forensic Medicine (136 citations). Judy Y. Su has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include W. Glenn L. Kerrick, Wilhelm Hasselbach, Zhong Li, Robert A. Caplan, Elliot J. Krane, David W. Amory, Hiroshi Toda, Dean A. Malencik, Hitoshi Mohri and William F. Friedman. Their work appears in journals such as Macromolecules, Journal of Pharmacology and Experimental Therapeutics and Anesthesiology.
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.