Yuling Dai
Impact in
- Family Practice top 10%
-
- Acute Myocardial Infarction Research
Papers in
-
- Respiratory Support and Mechanisms 4
- Surgery 6
- Lipoproteins and Cardiovascular Health 6
- Co-authors
- Paul Muntner (9 shared papers)Michael E. Farkouh (7 shared papers)Lisandro D. Colantonio (8 shared papers)Keri L. Monda (7 shared papers)Vera Bittner (4 shared papers)Hong Zhao (5 shared papers)Mark Woodward (4 shared papers)Robert S. Rosenson (6 shared papers)
- Journals
- Journal of the American College of Cardiology (3 papers)Microbial Pathogenesis (2 papers)Journal of Proteome Research (2 papers)Nature Communications (2 papers)Circulation (2 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Yuling Dai
24 papers receiving 636 citations
Peers
Comparison fields: 5 of 91
- Family Practice 29
- Cardiology and Cardiovascular Medicine 191
- Microbiology 51
- Geriatrics and Gerontology 29
- Surgery 266
Countries citing papers authored by Yuling Dai
This map shows the geographic impact of Yuling Dai'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 Yuling Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Dai more than expected).
Fields of papers citing papers by Yuling Dai
This network shows the impact of papers produced by Yuling Dai. 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 Yuling Dai. The network helps show where Yuling Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2019 | 105 | |
| 3 | 2017 | 61 | |
| 4 | 2020 | 60 | |
| 5 | 2020 | 59 | |
| 6 | 2019 | 45 | |
| 7 | 2014 | 28 | |
| 8 | 2011 | 26 | |
| 9 | 2009 | 25 | |
| 10 | 2005 | 24 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2018 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2007 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2007 | 4 |
About Yuling Dai
Yuling Dai is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Economics and Econometrics, Molecular Biology and Microbiology, having authored 25 papers that have together received 647 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Respiratory Support and Mechanisms (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Asthma and respiratory diseases (2 papers), RNA Research and Splicing (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Family Practice (29 citations), Cardiology and Cardiovascular Medicine (191 citations), Microbiology (51 citations), Geriatrics and Gerontology (29 citations) and Surgery (266 citations). Yuling Dai has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Paul Muntner, Michael E. Farkouh, Lisandro D. Colantonio, Keri L. Monda, Vera Bittner, Hong Zhao, Mark Woodward, Robert S. Rosenson, Monika M. Safford and T. Prescott Atkinson. Their work appears in journals such as Journal of the American College of Cardiology, Microbial Pathogenesis, Journal of Proteome Research, Nature Communications and Circulation.
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.