Yen‐Rei Yu
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Oncology
- Cellular and Molecular Neuroscience
- Co-authors
- Robert J. LefkowitzRicardo M. RichardsonAlan M. FongDhavalkumar D. PatelRichard T. PremontMichael D. GunnSudarshan RajagopalClaude A. Piantadosi
- Topics
- Pulmonary Hypertension Research and Treatments (11 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)Neonatal Respiratory Health Research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Yen‐Rei Yu
23 papers receiving 703 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 317
- Pulmonary and Respiratory Medicine 227
- Immunology 185
- Oncology 139
- Cellular and Molecular Neuroscience 87
Countries citing papers authored by Yen‐Rei Yu
This map shows the geographic impact of Yen‐Rei Yu'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 Yen‐Rei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Rei Yu more than expected).
Fields of papers citing papers by Yen‐Rei Yu
This network shows the impact of papers produced by Yen‐Rei Yu. 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 Yen‐Rei Yu. The network helps show where Yen‐Rei Yu may publish in the future.
Co-authorship network of co-authors of Yen‐Rei Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Rei Yu. A scholar is included among the top collaborators of Yen‐Rei Yu 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 Yen‐Rei Yu. Yen‐Rei Yu 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 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 32 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 43 | |
| 15 | 38 | |
| 16 | 3 | |
| 17 | 32 | |
| 18 | 41 | |
| 19 | 48 | |
| 20 | 263 |
About Yen‐Rei Yu
Yen‐Rei Yu is a scholar working on Internal Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 25 papers that have together received 708 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Immunology (185 citations), Pulmonary and Respiratory Medicine (227 citations) and Immunology and Allergy (42 citations). Yen‐Rei Yu has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Robert J. Lefkowitz, Ricardo M. Richardson, Alan M. Fong, Dhavalkumar D. Patel, Richard T. Premont, Michael D. Gunn, Sudarshan Rajagopal, Claude A. Piantadosi, Lan Mao and Robert M. Tighe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.