Yuanlin Song
-
- Neonatal Respiratory Health Research 31
- Chronic Obstructive Pulmonary Disease (COPD) Research 30
- Cystic Fibrosis Research Advances 27
- Respiratory Support and Mechanisms 22
- Tracheal and airway disorders 14
- Inhalation and Respiratory Drug Delivery 12
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 and COVID-19 Research 9
- Cancer Research top 5%
- Immunology top 5%
- Pharmacology top 2%
- Co-authors
- A. S. VerkmanChunxue BaiJay R. ThiagarajahJinjun JiangJun SheSujatha JayaramanCuicui ChenDanieli B. Salinas
- Journals
- Journal of Biological Chemistry (4 papers)SHILAP Revista de lepidopterología (7 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuanlin Song
165 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Pulmonary and Respiratory Medicine 1.7k
- Infectious Diseases 616
- Cancer Research 400
- Immunology 480
- Pharmacology 197
Countries citing papers authored by Yuanlin Song
This map shows the geographic impact of Yuanlin Song'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 Yuanlin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanlin Song more than expected).
Fields of papers citing papers by Yuanlin Song
This network shows the impact of papers produced by Yuanlin Song. 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 Yuanlin Song. The network helps show where Yuanlin Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuanlin Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 2 | |
| 19 | 2015 | 102 | |
| 20 | 2012 | 2 |
About Yuanlin Song
Yuanlin Song is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Health Informatics, having authored 173 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (31 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (30 papers), Cystic Fibrosis Research Advances (27 papers), Respiratory Support and Mechanisms (22 papers), Tracheal and airway disorders (14 papers), Inhalation and Respiratory Drug Delivery (12 papers), COVID-19 Clinical Research Studies (11 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.7k citations), Infectious Diseases (616 citations) and Cancer Research (400 citations). Yuanlin Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include A. S. Verkman, Chunxue Bai, Jay R. Thiagarajah, Jinjun Jiang, Jun She, Sujatha Jayaraman, Cuicui Chen, Danieli B. Salinas, Michael A. Matthay and Dennis W. Nielson. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.