Dan Ye
Impact in
-
- Cardiac electrophysiology and arrhythmias
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Genomics, phytochemicals, and oxidative stress 2
- Peroxisome Proliferator-Activated Receptors 2
- Surgery 5
- Cholesterol and Lipid Metabolism 4
- Co-authors
- Miranda Van Eck (6 shared papers)Michael J. Ackerman (4 shared papers)David J. Tester (3 shared papers)John R. Giudicessi (2 shared papers)Ying Zhao (4 shared papers)Illiana Meurs (3 shared papers)Bart Lammers (2 shared papers)Charles Antzelevitch (1 shared paper)
- Journals
- Heart Rhythm (3 papers)Journal of Pineal Research (2 papers)Oncotarget (2 papers)International Journal of COPD (1 paper)The American Journal of Chinese Medicine (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dan Ye
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 287
- Endocrine and Autonomic Systems 55
- Ophthalmology 63
- Neurology 53
- Molecular Biology 457
Countries citing papers authored by Dan Ye
This map shows the geographic impact of Dan Ye'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 Dan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ye more than expected).
Fields of papers citing papers by Dan Ye
This network shows the impact of papers produced by Dan Ye. 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 Dan Ye. The network helps show where Dan Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ye, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 194 | |
| 2 | 2020 | 158 | |
| 3 | 2011 | 115 | |
| 4 | 2005 | 88 | |
| 5 | 2015 | 82 | |
| 6 | 2015 | 76 | |
| 7 | 2018 | 60 | |
| 8 | 2006 | 51 | |
| 9 | 2021 | 51 | |
| 10 | 2006 | 34 | |
| 11 | 2007 | 34 | |
| 12 | 2012 | 27 | |
| 13 | 2011 | 24 | |
| 14 | 2007 | 23 | |
| 15 | 2016 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2016 | 17 | |
| 19 | 2023 | 17 | |
| 20 | 2011 | 15 |
About Dan Ye
Dan Ye is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Cholesterol and Lipid Metabolism (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Ferroptosis and cancer prognosis (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Cancer, Lipids, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (287 citations), Endocrine and Autonomic Systems (55 citations), Ophthalmology (63 citations), Neurology (53 citations) and Molecular Biology (457 citations). Dan Ye has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Miranda Van Eck, Michael J. Ackerman, David J. Tester, John R. Giudicessi, Ying Zhao, Illiana Meurs, Bart Lammers, Charles Antzelevitch, Vladislav V. Nesterenko and Lia Crotti. Their work appears in journals such as Heart Rhythm, Journal of Pineal Research, Oncotarget, International Journal of COPD and The American Journal of Chinese Medicine.
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.