Sheng Yan
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 10%
- Complementary and alternative medicine top 2%
- Cardiology and Cardiovascular Medicine
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Paweł ŚliwińskiDariusz KamińskiPeter T. MacklemBengt KayserJadranka SpahijaChrister A. SinderbyJennifer BeckNorman Comtois
- Topics
- Respiratory Support and Mechanisms (15 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers)Cardiovascular and exercise physiology (5 papers)
- Cited by
- Complementary and alternative medicinePulmonary and Respiratory MedicineEndocrine and Autonomic Systems
- Partner nations
- CanadaSwitzerlandItaly
In The Last Decade
Sheng Yan
17 papers receiving 780 citations
Peers
Comparison fields: 5 of 63
- Pulmonary and Respiratory Medicine 672
- Physiology 227
- Complementary and alternative medicine 223
- Cardiology and Cardiovascular Medicine 123
- Endocrine and Autonomic Systems 123
Countries citing papers authored by Sheng Yan
This map shows the geographic impact of Sheng Yan'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 Sheng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Yan more than expected).
Fields of papers citing papers by Sheng Yan
This network shows the impact of papers produced by Sheng Yan. 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 Sheng Yan. The network helps show where Sheng Yan may publish in the future.
Co-authorship network of co-authors of Sheng Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Yan. A scholar is included among the top collaborators of Sheng Yan 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 Sheng Yan. Sheng Yan 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 | 0 | |
| 3 | 85 | |
| 4 | 73 | |
| 5 | 149 | |
| 6 | 27 | |
| 7 | 22 | |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 25 | |
| 13 | 38 | |
| 14 | 159 | |
| 15 | 55 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 35 | |
| 19 | 47 |
About Sheng Yan
Sheng Yan is a scholar working on Complementary and alternative medicine, Pulmonary and Respiratory Medicine and Endocrine and Autonomic Systems, having authored 19 papers that have together received 808 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (15 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers) and Cardiovascular and exercise physiology (5 papers). The work is most often cited by research in Complementary and alternative medicine (223 citations), Pulmonary and Respiratory Medicine (672 citations) and Endocrine and Autonomic Systems (123 citations). Sheng Yan has collaborated with scholars based in Canada, Switzerland and Italy. Frequent co-authors include Paweł Śliwiński, Dariusz Kamiński, Peter T. Macklem, Bengt Kayser, Jadranka Spahija, Christer A. Sinderby, Jennifer Beck, Norman Comtois, F. Bellemare and Thomas Similowski. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and Brain 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.