Dan Ye
Impact in
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- Antibiotic Use and Resistance
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Cardiac electrophysiology and arrhythmias 27
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- Ion channel regulation and function 12
- Co-authors
- Steven R. Blanke (4 shared papers)Michael J. Ackerman (34 shared papers)David J. Tester (32 shared papers)Theo J.C. van Berkel (9 shared papers)Miranda Van Eck (9 shared papers)David C. Willhite (2 shared papers)Bing‐Liang Ma (6 shared papers)Reeni B. Hildebrand (6 shared papers)
- Journals
- Heart Rhythm (11 papers)Circulation Genomic and Precision Medicine (7 papers)PLoS ONE (6 papers)Cancer Research (5 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dan Ye
118 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 141
- Applied Microbiology and Biotechnology 177
- Cardiology and Cardiovascular Medicine 566
- Immunology 379
- Surgery 590
- Molecular Biology 949
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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 149 | |
| 2 | 2005 | 122 | |
| 3 | 1999 | 116 | |
| 4 | 2016 | 109 | |
| 5 | 2006 | 109 | |
| 6 | 2005 | 107 | |
| 7 | 1999 | 103 | |
| 8 | 2006 | 90 | |
| 9 | 2008 | 83 | |
| 10 | 2014 | 76 | |
| 11 | 2015 | 74 | |
| 12 | 2021 | 66 | |
| 13 | 2021 | 65 | |
| 14 | 2012 | 63 | |
| 15 | 2020 | 61 | |
| 16 | 2012 | 61 | |
| 17 | 2021 | 61 | |
| 18 | 2010 | 55 | |
| 19 | 2019 | 52 | |
| 20 | 2014 | 48 |
About Dan Ye
Dan Ye is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 125 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (27 papers), Ion channel regulation and function (12 papers), Cholesterol and Lipid Metabolism (9 papers), Advanced Breast Cancer Therapies (6 papers), HER2/EGFR in Cancer Research (5 papers), Influenza Virus Research Studies (5 papers), Dermatologic Treatments and Research (5 papers) and Glaucoma and retinal disorders (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (177 citations), Cardiology and Cardiovascular Medicine (566 citations), Immunology (379 citations), Surgery (590 citations) and Molecular Biology (949 citations). Dan Ye has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Steven R. Blanke, Michael J. Ackerman, David J. Tester, Theo J.C. van Berkel, Miranda Van Eck, David C. Willhite, Bing‐Liang Ma, Reeni B. Hildebrand, Hong Jin and Hon-Chi Lee. Their work appears in journals such as Heart Rhythm, Circulation Genomic and Precision Medicine, PLoS ONE, Cancer Research and Journal of Biological Chemistry.
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.