Show‐Ling Shyng
- Molecular Biology top 2%
- Pathology and Forensic Medicine top 0.2%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Colin G. NicholsDavid A. HarrisKrista L. MoulderSylvain LehmannCharles A. StanleyBenjamin GläserArupa GangulyCourtney MacMullen
- Topics
- Cardiac Ischemia and Reperfusion (56 papers)Ion channel regulation and function (28 papers)Pancreatic function and diabetes (28 papers)
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Show‐Ling Shyng
84 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 3.8k
- Pathology and Forensic Medicine 2.2k
- Surgery 1.8k
- Endocrinology, Diabetes and Metabolism 1.6k
- Cardiology and Cardiovascular Medicine 850
Countries citing papers authored by Show‐Ling Shyng
This map shows the geographic impact of Show‐Ling Shyng'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 Show‐Ling Shyng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Show‐Ling Shyng more than expected).
Fields of papers citing papers by Show‐Ling Shyng
This network shows the impact of papers produced by Show‐Ling Shyng. 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 Show‐Ling Shyng. The network helps show where Show‐Ling Shyng may publish in the future.
Co-authorship network of co-authors of Show‐Ling Shyng
This figure shows the co-authorship network connecting the top 25 collaborators of Show‐Ling Shyng. A scholar is included among the top collaborators of Show‐Ling Shyng 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 Show‐Ling Shyng. Show‐Ling Shyng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 32 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 43 | |
| 12 | 31 | |
| 13 | 67 | |
| 14 | 2 | |
| 15 | 37 | |
| 16 | 4 | |
| 17 | 99 | |
| 18 | 169 | |
| 19 | 82 | |
| 20 | 147 |
About Show‐Ling Shyng
Show‐Ling Shyng is a scholar working on Pathology and Forensic Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 87 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (56 papers), Ion channel regulation and function (28 papers) and Pancreatic function and diabetes (28 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.2k citations), Endocrinology, Diabetes and Metabolism (1.6k citations) and Physiology (320 citations). Show‐Ling Shyng has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Colin G. Nichols, David A. Harris, Krista L. Moulder, Sylvain Lehmann, Charles A. Stanley, Benjamin Gläser, Arupa Ganguly, Courtney MacMullen, Mary T. Huber and Ann Nestorowicz. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.