S Yuan
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Epidemiology
- Pediatrics, Perinatology and Child Health top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Abraham M. RudolphChester M. EdelmannAlan B. GruskinLynn RosenbergDespina AgapitosWang RnPeter MetrakosWilliam P. Duguid
- Topics
- Pancreatic function and diabetes (5 papers)Renal and Vascular Pathologies (2 papers)Liver Disease Diagnosis and Treatment (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
S Yuan
9 papers receiving 592 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Pulmonary and Respiratory Medicine 330
- Surgery 283
- Epidemiology 103
- Pediatrics, Perinatology and Child Health 96
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by S Yuan
This map shows the geographic impact of S Yuan'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 S Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Yuan more than expected).
Fields of papers citing papers by S Yuan
This network shows the impact of papers produced by S Yuan. 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 S Yuan. The network helps show where S Yuan may publish in the future.
Co-authorship network of co-authors of S Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of S Yuan. A scholar is included among the top collaborators of S Yuan 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 S Yuan. S Yuan 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 111 | |
| 6 | Phenotypic transformation of isolated human islets in collagen matrix culture. | 3 |
| 7 | Paracrine signaling (duct-->islet) in the pancreas and maintenance of islet cell mass--potential implications for islet transplantation. | 2 |
| 8 | Collagen gel matrix promotes islet cell proliferation. | 8 |
| 9 | Intercellular communication and maintenance of islet cell mass--implications for islet transplantation. | 26 |
| 10 | 114 | |
| 11 | Response of the pulmonary vasculature to hypoxia and H+ ion concentration changes.breakdown → | 370 |
About S Yuan
S Yuan is a scholar working on Nephrology, Genetics and Surgery, having authored 11 papers that have together received 639 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Renal and Vascular Pathologies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (80 citations), Pulmonary and Respiratory Medicine (330 citations) and Nephrology (71 citations). S Yuan has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Abraham M. Rudolph, Chester M. Edelmann, Alan B. Gruskin, Lynn Rosenberg, Despina Agapitos, Wang Rn, Peter Metrakos, William P. Duguid, Peter Metrakos and Steven Paraskevas. Their work appears in journals such as Journal of Clinical Investigation, Scientific Reports and Journal of Endocrinology.
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.