Shengtao Yan
- Pulmonary and Respiratory Medicine top 2%
- Physiology top 10%
- Complementary and alternative medicine top 2%
- Endocrine and Autonomic Systems top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Peter T. MacklemAlain P. GauthierF. BellemareThomas SimilowskiPaweł ŚliwińskiRoberto DurantiAndréa AlivertiG. Scano
- Topics
- Respiratory Support and Mechanisms (12 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers)Neuroscience of respiration and sleep (5 papers)
In The Last Decade
Shengtao Yan
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 127
- Pulmonary and Respiratory Medicine 902
- Physiology 238
- Complementary and alternative medicine 217
- Endocrine and Autonomic Systems 197
- Cardiology and Cardiovascular Medicine 165
Countries citing papers authored by Shengtao Yan
This map shows the geographic impact of Shengtao 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 Shengtao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengtao Yan more than expected).
Fields of papers citing papers by Shengtao Yan
This network shows the impact of papers produced by Shengtao 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 Shengtao Yan. The network helps show where Shengtao Yan may publish in the future.
Co-authorship network of co-authors of Shengtao Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Shengtao Yan. A scholar is included among the top collaborators of Shengtao 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 Shengtao Yan. Shengtao 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 202 | |
| 16 | 19 | |
| 17 | 24 | |
| 18 | 127 | |
| 19 | 34 | |
| 20 | 338 |
About Shengtao Yan
Shengtao Yan is a scholar working on Critical Care and Intensive Care Medicine, Endocrine and Autonomic Systems and Complementary and alternative medicine, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (197 citations), Pulmonary and Respiratory Medicine (902 citations) and Complementary and alternative medicine (217 citations). Shengtao Yan has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Peter T. Macklem, Alain P. Gauthier, F. Bellemare, Thomas Similowski, Paweł Śliwiński, Roberto Duranti, Andréa Aliverti, G. Scano, Christopher M. Kenyon and S. J. Cala. Their work appears in journals such as New England Journal of Medicine, Advanced Materials and Advanced Functional Materials.
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.