Yuling Dai
Impact in
- Family Practice top 10%
- Microbiology top 10%
- Microbial infections and disease research
Papers in
-
- Respiratory Support and Mechanisms 4
- Surgery 5
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Paul Muntner (9 shared papers)Michael E. Farkouh (7 shared papers)Keri L. Monda (7 shared papers)Lisandro D. Colantonio (8 shared papers)Vera Bittner (4 shared papers)Mark Woodward (4 shared papers)Hong Zhao (5 shared papers)Robert S. Rosenson (6 shared papers)
- Journals
- Journal of the American College of Cardiology (3 papers)Circulation (2 papers)Journal of Proteome Research (2 papers)Microbial Pathogenesis (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Yuling Dai
25 papers receiving 666 citations
Peers
Comparison fields: 5 of 83
- Family Practice 20
- Microbiology 49
- Cardiology and Cardiovascular Medicine 121
- Surgery 222
- Critical Care and Intensive Care Medicine 17
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 | 123 | |
| 2 | 2019 | 108 | |
| 3 | 2020 | 66 | |
| 4 | 2017 | 65 | |
| 5 | 2020 | 64 | |
| 6 | 2019 | 48 | |
| 7 | 2014 | 29 | |
| 8 | 2011 | 28 | |
| 9 | 2005 | 25 | |
| 10 | 2009 | 25 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2014 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2007 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Yuling Dai
Yuling Dai is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Microbiology and Immunology, having authored 25 papers that have together received 679 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Microbial infections and disease research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), RNA Research and Splicing (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Medication Adherence and Compliance (2 papers). The work is most often cited by research in Family Practice (20 citations), Microbiology (49 citations), Cardiology and Cardiovascular Medicine (121 citations), Surgery (222 citations) and Critical Care and Intensive Care Medicine (17 citations). Yuling Dai has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Paul Muntner, Michael E. Farkouh, Keri L. Monda, Lisandro D. Colantonio, Vera Bittner, Mark Woodward, Hong Zhao, Robert S. Rosenson, Monika M. Safford and Sanne A. E. Peters. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, Journal of Proteome Research, Microbial Pathogenesis and Nature Communications.
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.